Refined memory management prompts

README.md

@@ -119,7 +119,7 @@ const ai = new Ai({
         system: 'You are a helpful assistant.',
         compress: {max: 90_000, min: 50_000}, // Compress chat history to min tokens when max is reached
         temperature: 0.8,
-        max_tokens: 100_000,
+        maxTokens: 100_000,
         memoryModel: 'gpt-4o', // Cheap model for managing memories in background, defaults to current model
         models: {
             'claude-3-5-sonnet': {proto: 'anthropic', token: process.env.ANTHROPIC_TOKEN},
@@ -186,7 +186,7 @@ console.log(chunks);
 
 // Manually compile history into memories at end of conversation
 // Happens automatically when coverstaions are compressed
-await ai.language.updateMemory(history, memory);
+await ai.language.memorize(history, memory);
 
 // Summarize text
 const summary = await ai.language.summarize(longText, 200);

package-lock.json

@@ -1,12 +1,12 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "1.2.6",
+	"version": "1.5.0",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
 			"name": "@ztimson/ai-utils",
-			"version": "1.2.6",
+			"version": "1.5.0",
 			"license": "MIT",
 			"dependencies": {
 				"@anthropic-ai/sdk": "^0.102.0",
@@ -16,6 +16,7 @@
 				"@ztimson/utils": "^0.29.4",
 				"cheerio": "^1.2.0",
 				"openai": "^6.42.0",
+				"pdf-parse": "^2.4.5",
 				"tesseract.js": "^7.0.0"
 			},
 			"devDependencies": {
@@ -56,39 +57,12 @@
 				"node": ">=6.9.0"
 			}
 		},
-		"node_modules/@emnapi/core": {
-			"version": "2.0.0-alpha.3",
-			"resolved": "https://registry.npmjs.org/@emnapi/core/-/core-2.0.0-alpha.3.tgz",
-			"integrity": "sha512-AZypUeJ/yByuxyS7BlSNRDOMLMlROYtjYdIAuBmJssVz1UJDSeYxLrdizhXCFYhedC5bqd/ASy8EuNXbVVXp9g==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"peer": true,
-			"dependencies": {
-				"@emnapi/wasi-threads": "2.0.1",
-				"tslib": "^2.4.0"
-			}
-		},
 		"node_modules/@emnapi/runtime": {
-			"version": "2.0.0-alpha.3",
+			"version": "1.11.3",
-			"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-2.0.0-alpha.3.tgz",
+			"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.3.tgz",
-			"integrity": "sha512-hFPAhMUjJD9BSyCANEISPOogeXC9Zo9ZQl7L6vKnaVsMkCtzznaW/naYypeyl0Gv5rYfWYsZbpixTMpjDJzQeA==",
+			"integrity": "sha512-Xz4Tpyki7XyrpbUK1jR1AhdAdaXyhhY4lZ3neLodmhpuWfy2PAQN5B46sAiU4liOXGLkHypn/qU+jvfWSCYYLA==",
-			"dev": true,
 			"license": "MIT",
 			"optional": true,
-			"peer": true,
-			"dependencies": {
-				"tslib": "^2.4.0"
-			}
-		},
-		"node_modules/@emnapi/wasi-threads": {
-			"version": "2.0.1",
-			"resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-2.0.1.tgz",
-			"integrity": "sha512-9DsSk+o5NBX0CCJT8s0EROGSGxjR/tKu6aBTaVyq+SjAEQH4XcdcRxPBRzsBLizTTJ49MJjF+jgu3qnO9GLQcQ==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"peer": true,
 			"dependencies": {
 				"tslib": "^2.4.0"
 			}
@@ -577,16 +551,6 @@
 				"url": "https://opencollective.com/libvips"
 			}
 		},
-		"node_modules/@img/sharp-wasm32/node_modules/@emnapi/runtime": {
-			"version": "1.11.3",
-			"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.3.tgz",
-			"integrity": "sha512-Xz4Tpyki7XyrpbUK1jR1AhdAdaXyhhY4lZ3neLodmhpuWfy2PAQN5B46sAiU4liOXGLkHypn/qU+jvfWSCYYLA==",
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"tslib": "^2.4.0"
-			}
-		},
 		"node_modules/@img/sharp-win32-arm64": {
 			"version": "0.34.5",
 			"resolved": "https://registry.npmjs.org/@img/sharp-win32-arm64/-/sharp-win32-arm64-0.34.5.tgz",
@@ -694,32 +658,209 @@
 				"@jridgewell/sourcemap-codec": "^1.4.14"
 			}
 		},
-		"node_modules/@napi-rs/wasm-runtime": {
+		"node_modules/@napi-rs/canvas": {
-			"version": "1.2.0",
+			"version": "0.1.80",
-			"resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-1.2.0.tgz",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas/-/canvas-0.1.80.tgz",
-			"integrity": "sha512-kDoONqMa+VnZ4vvvu/ZUurpJ4gkZU57e7g69qpNgWhYcZFPUHZM2CEMKm+cG6ufDVALbjMvfmMjFVqaK7uEMnA==",
+			"integrity": "sha512-DxuT1ClnIPts1kQx8FBmkk4BQDTfI5kIzywAaMjQSXfNnra5UFU9PwurXrl+Je3bJ6BGsp/zmshVVFbCmyI+ww==",
-			"dev": true,
+			"license": "MIT",
+			"workspaces": [
+				"e2e/*"
+			],
+			"engines": {
+				"node": ">= 10"
+			},
+			"optionalDependencies": {
+				"@napi-rs/canvas-android-arm64": "0.1.80",
+				"@napi-rs/canvas-darwin-arm64": "0.1.80",
+				"@napi-rs/canvas-darwin-x64": "0.1.80",
+				"@napi-rs/canvas-linux-arm-gnueabihf": "0.1.80",
+				"@napi-rs/canvas-linux-arm64-gnu": "0.1.80",
+				"@napi-rs/canvas-linux-arm64-musl": "0.1.80",
+				"@napi-rs/canvas-linux-riscv64-gnu": "0.1.80",
+				"@napi-rs/canvas-linux-x64-gnu": "0.1.80",
+				"@napi-rs/canvas-linux-x64-musl": "0.1.80",
+				"@napi-rs/canvas-win32-x64-msvc": "0.1.80"
+			}
+		},
+		"node_modules/@napi-rs/canvas-android-arm64": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-android-arm64/-/canvas-android-arm64-0.1.80.tgz",
+			"integrity": "sha512-sk7xhN/MoXeuExlggf91pNziBxLPVUqF2CAVnB57KLG/pz7+U5TKG8eXdc3pm0d7Od0WreB6ZKLj37sX9muGOQ==",
+			"cpu": [
+				"arm64"
+			],
 			"license": "MIT",
 			"optional": true,
-			"dependencies": {
+			"os": [
-				"@tybys/wasm-util": "^0.10.3"
+				"android"
-			},
+			],
 			"engines": {
-				"node": "^20.19.0 || ^22.13.0 || >=23.5.0"
+				"node": ">= 10"
-			},
+			}
-			"funding": {
+		},
-				"type": "github",
+		"node_modules/@napi-rs/canvas-darwin-arm64": {
-				"url": "https://github.com/sponsors/Brooooooklyn"
+			"version": "0.1.80",
-			},
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-arm64/-/canvas-darwin-arm64-0.1.80.tgz",
-			"peerDependencies": {
+			"integrity": "sha512-O64APRTXRUiAz0P8gErkfEr3lipLJgM6pjATwavZ22ebhjYl/SUbpgM0xcWPQBNMP1n29afAC/Us5PX1vg+JNQ==",
-				"@emnapi/core": "^2.0.0-alpha.3",
+			"cpu": [
-				"@emnapi/runtime": "^2.0.0-alpha.3"
+				"arm64"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"darwin"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-darwin-x64": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-x64/-/canvas-darwin-x64-0.1.80.tgz",
+			"integrity": "sha512-FqqSU7qFce0Cp3pwnTjVkKjjOtxMqRe6lmINxpIZYaZNnVI0H5FtsaraZJ36SiTHNjZlUB69/HhxNDT1Aaa9vA==",
+			"cpu": [
+				"x64"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"darwin"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-arm-gnueabihf": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm-gnueabihf/-/canvas-linux-arm-gnueabihf-0.1.80.tgz",
+			"integrity": "sha512-eyWz0ddBDQc7/JbAtY4OtZ5SpK8tR4JsCYEZjCE3dI8pqoWUC8oMwYSBGCYfsx2w47cQgQCgMVRVTFiiO38hHQ==",
+			"cpu": [
+				"arm"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-arm64-gnu": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm64-gnu/-/canvas-linux-arm64-gnu-0.1.80.tgz",
+			"integrity": "sha512-qwA63t8A86bnxhuA/GwOkK3jvb+XTQaTiVML0vAWoHyoZYTjNs7BzoOONDgTnNtr8/yHrq64XXzUoLqDzU+Uuw==",
+			"cpu": [
+				"arm64"
+			],
+			"libc": [
+				"glibc"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-arm64-musl": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-arm64-musl/-/canvas-linux-arm64-musl-0.1.80.tgz",
+			"integrity": "sha512-1XbCOz/ymhj24lFaIXtWnwv/6eFHXDrjP0jYkc6iHQ9q8oXKzUX1Lc6bu+wuGiLhGh2GS/2JlfORC5ZcXimRcg==",
+			"cpu": [
+				"arm64"
+			],
+			"libc": [
+				"musl"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-riscv64-gnu": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-riscv64-gnu/-/canvas-linux-riscv64-gnu-0.1.80.tgz",
+			"integrity": "sha512-XTzR125w5ZMs0lJcxRlS1K3P5RaZ9RmUsPtd1uGt+EfDyYMu4c6SEROYsxyatbbu/2+lPe7MPHOO/0a0x7L/gw==",
+			"cpu": [
+				"riscv64"
+			],
+			"libc": [
+				"glibc"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-x64-gnu": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-x64-gnu/-/canvas-linux-x64-gnu-0.1.80.tgz",
+			"integrity": "sha512-BeXAmhKg1kX3UCrJsYbdQd3hIMDH/K6HnP/pG2LuITaXhXBiNdh//TVVVVCBbJzVQaV5gK/4ZOCMrQW9mvuTqA==",
+			"cpu": [
+				"x64"
+			],
+			"libc": [
+				"glibc"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-linux-x64-musl": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-linux-x64-musl/-/canvas-linux-x64-musl-0.1.80.tgz",
+			"integrity": "sha512-x0XvZWdHbkgdgucJsRxprX/4o4sEed7qo9rCQA9ugiS9qE2QvP0RIiEugtZhfLH3cyI+jIRFJHV4Fuz+1BHHMg==",
+			"cpu": [
+				"x64"
+			],
+			"libc": [
+				"musl"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"linux"
+			],
+			"engines": {
+				"node": ">= 10"
+			}
+		},
+		"node_modules/@napi-rs/canvas-win32-x64-msvc": {
+			"version": "0.1.80",
+			"resolved": "https://registry.npmjs.org/@napi-rs/canvas-win32-x64-msvc/-/canvas-win32-x64-msvc-0.1.80.tgz",
+			"integrity": "sha512-Z8jPsM6df5V8B1HrCHB05+bDiCxjE9QA//3YrkKIdVDEwn5RKaqOxCJDRJkl48cJbylcrJbW4HxZbTte8juuPg==",
+			"cpu": [
+				"x64"
+			],
+			"license": "MIT",
+			"optional": true,
+			"os": [
+				"win32"
+			],
+			"engines": {
+				"node": ">= 10"
 			}
 		},
 		"node_modules/@oxc-project/types": {
-			"version": "0.139.0",
+			"version": "0.144.0",
-			"resolved": "https://registry.npmjs.org/@oxc-project/types/-/types-0.139.0.tgz",
+			"resolved": "https://registry.npmjs.org/@oxc-project/types/-/types-0.144.0.tgz",
-			"integrity": "sha512-r9gHphtCs+1M7J0pw6Sn/hh/Wpa/iQrOOkrNAlVLF/gHq+/CJmHIWKKUUhdWjcD6CIa8idarspCsASiXCXvFUw==",
+			"integrity": "sha512-nuhZIOLuI6TFQ32I/WnUx+SCPY7SdSKwgnFHydAuoS1+Z4BRcaP+RRJmGzl9lw+0OFF7UmaESf7KQRXaNLHypg==",
 			"dev": true,
 			"license": "MIT",
 			"funding": {
@@ -784,9 +925,9 @@
 			"license": "BSD-3-Clause"
 		},
 		"node_modules/@rolldown/binding-android-arm64": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-android-arm64/-/binding-android-arm64-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-android-arm64/-/binding-android-arm64-1.2.4.tgz",
-			"integrity": "sha512-lZg8fqIv2v7FF237bwMgzGZEJvGL79/s5knJ/i6FmsGF4XXlzccZ4jb+TrFIxtSSxFtIpdsgrPZeMk1I9AFcyQ==",
+			"integrity": "sha512-jHC2cnyKz5xU2fhECtFl8OZ83cYNt13GZQD+0uMJ/X3o+ijmd56okHhTUwxVSHPx1IRVIJEZ1/1pPzeLCU6XKA==",
 			"cpu": [
 				"arm64"
 			],
@@ -801,9 +942,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-darwin-arm64": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-arm64/-/binding-darwin-arm64-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-arm64/-/binding-darwin-arm64-1.2.4.tgz",
-			"integrity": "sha512-51Bnx9pNiMRKSUNtBfySkNJ9vMU9Hh3I1ozDd6gyPPYzaXCfnptUcEZxXGYFn+ul2dtcMUiqGR1Yai2K10uoTw==",
+			"integrity": "sha512-Dc5mPD8F5F/FS8i01syd7FTF6yB2fVthH/TRkjwJkzUK6EpoxHtqvZQP5Zwq80/5z19TWYHIg1KOHboCgVx/aQ==",
 			"cpu": [
 				"arm64"
 			],
@@ -818,9 +959,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-darwin-x64": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-x64/-/binding-darwin-x64-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-x64/-/binding-darwin-x64-1.2.4.tgz",
-			"integrity": "sha512-Tm+gbfC0aHu1tBA/JvKQh32S0K6YgCHkiAF4/W6xX0K0RmNuc94VeK419dJoE65R5aRxmo+noZQSWrAMF6yb6g==",
+			"integrity": "sha512-fpDm4oBo6SqLvWUYCmFhdde3U9KH2fRNNMeAnAPAIwxRL345xutL0EtEUcuoxsoazdJGv/MuDBQHlCDrtbvqOg==",
 			"cpu": [
 				"x64"
 			],
@@ -835,9 +976,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-freebsd-x64": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-freebsd-x64/-/binding-freebsd-x64-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-freebsd-x64/-/binding-freebsd-x64-1.2.4.tgz",
-			"integrity": "sha512-JMzDKCCXq93YccG5gz3hvOs1oXRKAf0XYpfOS88e+wZrC8Iugj6j68867vrYZkvpDDpKn/KoKORThmchMpF6TA==",
+			"integrity": "sha512-rSJoreDE/HoIzoaib6MTp5jQtCTdMHKIvItAKT/ImS6Y6Ww76oUaeMyp4Vc/fAgd/ehji068IxetHXAnqUwN9A==",
 			"cpu": [
 				"x64"
 			],
@@ -852,9 +993,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-arm-gnueabihf": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-1.2.4.tgz",
-			"integrity": "sha512-uML21j2K5TfPGutKxub+M+nLjZIrWjXQ5Grx4lCe/nimTj9B4L63zHpjXLl4y0L3mcm2htEQIb06oCG/szerNw==",
+			"integrity": "sha512-/jm8OGHgn7oGaJu3i/qZI9spUGcJ+y/lk43ttQ/iO1tOd9NissG6o97bighBCiL+BKRngmcDuR6ikfwYdJmVuQ==",
 			"cpu": [
 				"arm"
 			],
@@ -869,9 +1010,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-arm64-gnu": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm64-gnu/-/binding-linux-arm64-gnu-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm64-gnu/-/binding-linux-arm64-gnu-1.2.4.tgz",
-			"integrity": "sha512-navSiuTMogvnQoZoM/v+l3ZWo50/NTwSHSzheABx/RCnmUPaKwq9qSo4Br2OYRs21+Fz8uFqITZM3H4opOB0/Q==",
+			"integrity": "sha512-tIP06BeD9EqvECBrPZ+sqdPlYrT+aYaAiu1wYziVx5elRK/ftm33JxVDy2bXGbr6J0CrtirCkR87/X5a2euEng==",
 			"cpu": [
 				"arm64"
 			],
@@ -889,9 +1030,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-arm64-musl": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm64-musl/-/binding-linux-arm64-musl-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm64-musl/-/binding-linux-arm64-musl-1.2.4.tgz",
-			"integrity": "sha512-lAryqH7IteztmCXQXk0etKj4wBQ7Gx5S6LjKhsgp9zb8I5bsuvU/2llH1hDQcjsFeqIsovMVN339/8pUDDBXxA==",
+			"integrity": "sha512-Ql1Q0EQqVThvn9VAVlwNzsUvbSFtCMGjLpRRi4pk5i7NZZ4n5ISiLMjHYtus4VQ2PvkSw24zyaCVsiS+sXPj1w==",
 			"cpu": [
 				"arm64"
 			],
@@ -909,9 +1050,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-ppc64-gnu": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-ppc64-gnu/-/binding-linux-ppc64-gnu-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-ppc64-gnu/-/binding-linux-ppc64-gnu-1.2.4.tgz",
-			"integrity": "sha512-fsK/sNBnxzBlL4O1JNrZakVQxPspqpED5dLtNsZS9oOKmtSpdNIzxH2kkol5HYTWJN47sE20ztMJPxfZ89qGOg==",
+			"integrity": "sha512-GjbjXD4XXfN19D0LZNbmiCBUoDiRACsYHr0yaIbbn8aFsXjHZifcYqu/W5Er5X2X990WjHXFrxarn5chzItorQ==",
 			"cpu": [
 				"ppc64"
 			],
@@ -929,9 +1070,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-s390x-gnu": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-s390x-gnu/-/binding-linux-s390x-gnu-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-s390x-gnu/-/binding-linux-s390x-gnu-1.2.4.tgz",
-			"integrity": "sha512-gLYb4BIadlfTOYT5gO503n8zQjXflgzpD0FcyKh0Mzx3rqCZKnHoJWV9xe1KXUJ5lx2JfcSHr/mhzS0PC/McAA==",
+			"integrity": "sha512-p5WR0NOwaRmJ/B1b6IjEFLLivwEsf3PrdBIhRbhTCQisbo2SvHHpG4ELB/+FgQNnB88LTOF86upmJmbvZdQ2lw==",
 			"cpu": [
 				"s390x"
 			],
@@ -949,9 +1090,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-x64-gnu": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-x64-gnu/-/binding-linux-x64-gnu-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-x64-gnu/-/binding-linux-x64-gnu-1.2.4.tgz",
-			"integrity": "sha512-FjcpEKUyJygHgs1o50VYNvkt5+7Le/VEdYt0AkRpkL33MnyQfwr8l5mXwMmfmTbyMPr5vJLC+8/Gd9gXnwU1QQ==",
+			"integrity": "sha512-4/GyVjmhR+Tc6HLJvwc1sOhPqAZtySiSMesOZyX6JQ5XBxoTDEMKQzvo07NIK6nTon/SivlZqvhzvuVBNQhObQ==",
 			"cpu": [
 				"x64"
 			],
@@ -969,9 +1110,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-linux-x64-musl": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-x64-musl/-/binding-linux-x64-musl-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-linux-x64-musl/-/binding-linux-x64-musl-1.2.4.tgz",
-			"integrity": "sha512-Me+PfPI2TMeOQk0gYWfLQZtTktrmzbr8cDboqX83XKc7UrgAi55gF+2dUkWdxd19n55Essp2yeca+O9N5rBxHg==",
+			"integrity": "sha512-l9eeLsCNvPpmSXUej0etw/J1eqV0Jj1D5G/xG6YTijmE6dkv6E2QezgWbTfQk63v952DPqrjOCoiqxq7Bw0YUQ==",
 			"cpu": [
 				"x64"
 			],
@@ -989,9 +1130,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-openharmony-arm64": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-openharmony-arm64/-/binding-openharmony-arm64-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-openharmony-arm64/-/binding-openharmony-arm64-1.2.4.tgz",
-			"integrity": "sha512-yc5WrLzXks6zCQfn9Oxr8pORKyl/pF+QjHmW/Qx3qu0oyrrNC+y2JLTU1E2rcWYAmzlnqngWXHQjy51VzW70Vw==",
+			"integrity": "sha512-e0F355MSTMm3+UOqtV3L24gFUp2N5m1f8L/7d56deik6va+AXdrt9F8LbzGpeWGWRbZEDq4m8NVnJDeBtf9DZg==",
 			"cpu": [
 				"arm64"
 			],
@@ -1005,63 +1146,10 @@
 				"node": "^20.19.0 || >=22.12.0"
 			}
 		},
-		"node_modules/@rolldown/binding-wasm32-wasi": {
-			"version": "1.1.5",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-wasm32-wasi/-/binding-wasm32-wasi-1.1.5.tgz",
-			"integrity": "sha512-VbQGPX2b4r48TAMIM2cjgluIM1HYutm4pcTEJsle7iEP7sB1dFqtPLBVbdLAZCxy1txCcPxf4QFf4v8uvltPqA==",
-			"cpu": [
-				"wasm32"
-			],
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"@emnapi/core": "1.11.1",
-				"@emnapi/runtime": "1.11.1",
-				"@napi-rs/wasm-runtime": "^1.1.6"
-			},
-			"engines": {
-				"node": "^20.19.0 || >=22.12.0"
-			}
-		},
-		"node_modules/@rolldown/binding-wasm32-wasi/node_modules/@emnapi/core": {
-			"version": "1.11.1",
-			"resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.11.1.tgz",
-			"integrity": "sha512-RSvbQmHzdKzNsLYa/wHrbc3KN4sYLKAdPZxqiM2HATqv/SBk2/ENSHpvXGaLOMcsAyz0poEGqkmmKYG3OWiJEQ==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"@emnapi/wasi-threads": "1.2.2",
-				"tslib": "^2.4.0"
-			}
-		},
-		"node_modules/@rolldown/binding-wasm32-wasi/node_modules/@emnapi/runtime": {
-			"version": "1.11.1",
-			"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.1.tgz",
-			"integrity": "sha512-vgj7R3y3Wgx24IQaGPA/R6YFXLHVMOZ0uVEyIQPaWs+rd1AzfEMXlAC22FYwO1XkKR6NPsq7mUandH8oIRdZFw==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"tslib": "^2.4.0"
-			}
-		},
-		"node_modules/@rolldown/binding-wasm32-wasi/node_modules/@emnapi/wasi-threads": {
-			"version": "1.2.2",
-			"resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.2.2.tgz",
-			"integrity": "sha512-c95qOXkHdydNKhscBTebqEC1CVAZpyqOfVfBzQ1qgzyl3gfeldUjIggDbIZgDKsHLgnsM+igH7TJ/eAasaVuMA==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"tslib": "^2.4.0"
-			}
-		},
 		"node_modules/@rolldown/binding-win32-arm64-msvc": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-win32-arm64-msvc/-/binding-win32-arm64-msvc-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-win32-arm64-msvc/-/binding-win32-arm64-msvc-1.2.4.tgz",
-			"integrity": "sha512-gHv82k63z4qpV5+Q1y/12KrK0ltWBukVDI8nZcbT7Tt/ZlOIVwppazneq0F93oDxTo3IgAMEDIoQh3E2n6mVsw==",
+			"integrity": "sha512-AWLi0uBRYh6QlE7OKhiz+phZC0qwtij2QZmhmOdsLdFn64m7oMpooE9ICE3lhm9xMb4SpDo2WbHcxX1iFLFtqw==",
 			"cpu": [
 				"arm64"
 			],
@@ -1076,9 +1164,9 @@
 			}
 		},
 		"node_modules/@rolldown/binding-win32-x64-msvc": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/@rolldown/binding-win32-x64-msvc/-/binding-win32-x64-msvc-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/@rolldown/binding-win32-x64-msvc/-/binding-win32-x64-msvc-1.2.4.tgz",
-			"integrity": "sha512-tTZuDBPw85tEN5PQi1pnEBzDy0Z49HtScLAbD5t6hyeU92A95pRWaSMw1GZZi/RwgSgUIl0xrSlXIT/9QzvYSA==",
+			"integrity": "sha512-UwSDJOg3dqCAejWdxclJjCsh3Qq4vLYMDxmyHqo1btz3stK2VqgwNd3mm5tuIwzSlGIQ/1H9Hr+Zn09mrezNqQ==",
 			"cpu": [
 				"x64"
 			],
@@ -1317,17 +1405,6 @@
 				"@tensorflow/tfjs-core": "4.22.0"
 			}
 		},
-		"node_modules/@tybys/wasm-util": {
-			"version": "0.10.3",
-			"resolved": "https://registry.npmjs.org/@tybys/wasm-util/-/wasm-util-0.10.3.tgz",
-			"integrity": "sha512-F3fo1MYrRJYL3zER0OUOmkutjr1Vp23m7OsSgp7nq4SP6OqX6C/56XFIPAl5bt3zaBRjmW7SGz3u/6LwFpYcOg==",
-			"dev": true,
-			"license": "MIT",
-			"optional": true,
-			"dependencies": {
-				"tslib": "^2.4.0"
-			}
-		},
 		"node_modules/@types/estree": {
 			"version": "1.0.9",
 			"resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.9.tgz",
@@ -1544,9 +1621,9 @@
 			"license": "MIT"
 		},
 		"node_modules/brace-expansion": {
-			"version": "2.1.3",
+			"version": "2.1.4",
-			"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.1.3.tgz",
+			"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.1.4.tgz",
-			"integrity": "sha512-DRdx5neNsG/QXbniLFWi2YmC/68oeOOmKz6zOjVk6ZS1ZLXgLIKqVEc6hWsmkjBbgii0SwaBTcJ5XKj5gzY/4A==",
+			"integrity": "sha512-hGfVzPxthbf3+2yjg/RBs60cB0FhqBS/zvdV/4wn4/BmN0bNMMHPc4V/BbFieqf1TKAGGAHnY4eSjajCl0f2Xg==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
@@ -3011,9 +3088,9 @@
 			"license": "MIT"
 		},
 		"node_modules/nanoid": {
-			"version": "3.3.16",
+			"version": "3.3.18",
-			"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.16.tgz",
+			"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.18.tgz",
-			"integrity": "sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==",
+			"integrity": "sha512-DTg4MJbGMWkfi6VZFdNt2/caMbQy4Ou+Op/hJQvGEWcnVfoA1QA+xzRKAzw9jD6+GVOOeYr/mIcuDSdug6F6+w==",
 			"dev": true,
 			"funding": [
 				{
@@ -3233,6 +3310,38 @@
 			"dev": true,
 			"license": "MIT"
 		},
+		"node_modules/pdf-parse": {
+			"version": "2.4.5",
+			"resolved": "https://registry.npmjs.org/pdf-parse/-/pdf-parse-2.4.5.tgz",
+			"integrity": "sha512-mHU89HGh7v+4u2ubfnevJ03lmPgQ5WU4CxAVmTSh/sxVTEDYd1er/dKS/A6vg77NX47KTEoihq8jZBLr8Cxuwg==",
+			"license": "Apache-2.0",
+			"dependencies": {
+				"@napi-rs/canvas": "0.1.80",
+				"pdfjs-dist": "5.4.296"
+			},
+			"bin": {
+				"pdf-parse": "bin/cli.mjs"
+			},
+			"engines": {
+				"node": ">=20.16.0 <21 || >=22.3.0"
+			},
+			"funding": {
+				"type": "github",
+				"url": "https://github.com/sponsors/mehmet-kozan"
+			}
+		},
+		"node_modules/pdfjs-dist": {
+			"version": "5.4.296",
+			"resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-5.4.296.tgz",
+			"integrity": "sha512-DlOzet0HO7OEnmUmB6wWGJrrdvbyJKftI1bhMitK7O2N8W2gc757yyYBbINy9IDafXAV9wmKr9t7xsTaNKRG5Q==",
+			"license": "Apache-2.0",
+			"engines": {
+				"node": ">=20.16.0 || >=22.3.0"
+			},
+			"optionalDependencies": {
+				"@napi-rs/canvas": "^0.1.80"
+			}
+		},
 		"node_modules/picocolors": {
 			"version": "1.1.1",
 			"resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
@@ -3272,9 +3381,9 @@
 			"license": "MIT"
 		},
 		"node_modules/postcss": {
-			"version": "8.5.25",
+			"version": "8.5.26",
-			"resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.25.tgz",
+			"resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.26.tgz",
-			"integrity": "sha512-DTPx3RWSSnWyzLxQnlH0rJP+EW5ekl16ZU4/psbIhA0e53kJfdgaN5vKM+xP7yJtXVu+nfdVFmlgFDEKAe4Pyw==",
+			"integrity": "sha512-u82N74LFzG8ca+dD8puPnplTXoGH4fTPpVGuIbt36G3qvNlkvfD0lEAZSxaly3KX8TS/L1A1gsCEmvKmBcVbkQ==",
 			"dev": true,
 			"funding": [
 				{
@@ -3292,7 +3401,7 @@
 			],
 			"license": "MIT",
 			"dependencies": {
-				"nanoid": "^3.3.16",
+				"nanoid": "^3.3.17",
 				"picocolors": "^1.1.1",
 				"source-map-js": "^1.2.1"
 			},
@@ -3434,13 +3543,13 @@
 			"license": "BSD-3-Clause"
 		},
 		"node_modules/rolldown": {
-			"version": "1.1.5",
+			"version": "1.2.4",
-			"resolved": "https://registry.npmjs.org/rolldown/-/rolldown-1.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/rolldown/-/rolldown-1.2.4.tgz",
-			"integrity": "sha512-t9z29cJjXf/vxQ8dyhCSpt6H6aSwHTk8cT5I3iy6SMXuFpk5mB6PL6XfC8PCwrPTx93udwKUm9HRteAlTGBLiA==",
+			"integrity": "sha512-rSr7irW0K7QRWzjdJXqZowkcRdDtjRduh43rBltnVKd0VFq839l1lJoDvGJb6gl7+4rTTCrPWu+YfujUL8Ug7w==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
-				"@oxc-project/types": "=0.139.0",
+				"@oxc-project/types": "=0.144.0",
 				"@rolldown/pluginutils": "^1.0.0"
 			},
 			"bin": {
@@ -3450,21 +3559,20 @@
 				"node": "^20.19.0 || >=22.12.0"
 			},
 			"optionalDependencies": {
-				"@rolldown/binding-android-arm64": "1.1.5",
+				"@rolldown/binding-android-arm64": "1.2.4",
-				"@rolldown/binding-darwin-arm64": "1.1.5",
+				"@rolldown/binding-darwin-arm64": "1.2.4",
-				"@rolldown/binding-darwin-x64": "1.1.5",
+				"@rolldown/binding-darwin-x64": "1.2.4",
-				"@rolldown/binding-freebsd-x64": "1.1.5",
+				"@rolldown/binding-freebsd-x64": "1.2.4",
-				"@rolldown/binding-linux-arm-gnueabihf": "1.1.5",
+				"@rolldown/binding-linux-arm-gnueabihf": "1.2.4",
-				"@rolldown/binding-linux-arm64-gnu": "1.1.5",
+				"@rolldown/binding-linux-arm64-gnu": "1.2.4",
-				"@rolldown/binding-linux-arm64-musl": "1.1.5",
+				"@rolldown/binding-linux-arm64-musl": "1.2.4",
-				"@rolldown/binding-linux-ppc64-gnu": "1.1.5",
+				"@rolldown/binding-linux-ppc64-gnu": "1.2.4",
-				"@rolldown/binding-linux-s390x-gnu": "1.1.5",
+				"@rolldown/binding-linux-s390x-gnu": "1.2.4",
-				"@rolldown/binding-linux-x64-gnu": "1.1.5",
+				"@rolldown/binding-linux-x64-gnu": "1.2.4",
-				"@rolldown/binding-linux-x64-musl": "1.1.5",
+				"@rolldown/binding-linux-x64-musl": "1.2.4",
-				"@rolldown/binding-openharmony-arm64": "1.1.5",
+				"@rolldown/binding-openharmony-arm64": "1.2.4",
-				"@rolldown/binding-wasm32-wasi": "1.1.5",
+				"@rolldown/binding-win32-arm64-msvc": "1.2.4",
-				"@rolldown/binding-win32-arm64-msvc": "1.1.5",
+				"@rolldown/binding-win32-x64-msvc": "1.2.4"
-				"@rolldown/binding-win32-x64-msvc": "1.1.5"
 			}
 		},
 		"node_modules/safe-buffer": {
@@ -4021,16 +4129,16 @@
 			}
 		},
 		"node_modules/vite": {
-			"version": "8.1.5",
+			"version": "8.2.1",
-			"resolved": "https://registry.npmjs.org/vite/-/vite-8.1.5.tgz",
+			"resolved": "https://registry.npmjs.org/vite/-/vite-8.2.1.tgz",
-			"integrity": "sha512-7ULLwsCdYx/nRyrpiEwvqb5TFHrMVZyBt+rg/OAXT7rgj/z+DtTDyKFeLAdDkubDVDKD8jOsndmy7m55XcfUsw==",
+			"integrity": "sha512-EU/eS7BH3XROHh2YnBefjM6DBKA6ZeMZEYQbj7NLWg5wHYlhB8B/Mayd5XsgWq+NFYccDOTemRpdETWR6Ka/lw==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
-				"lightningcss": "^1.32.0",
+				"lightningcss": "^1.33.0",
 				"picomatch": "^4.0.5",
-				"postcss": "^8.5.17",
+				"postcss": "^8.5.25",
-				"rolldown": "~1.1.5",
+				"rolldown": "~1.2.1",
 				"tinyglobby": "^0.2.17"
 			},
 			"bin": {
@@ -4047,7 +4155,7 @@
 			},
 			"peerDependencies": {
 				"@types/node": "^20.19.0 || >=22.12.0",
-				"@vitejs/devtools": "^0.3.0",
+				"@vitejs/devtools": "^0.4.0",
 				"esbuild": "^0.27.0 || ^0.28.0",
 				"jiti": ">=1.21.0",
 				"less": "^4.0.0",
@@ -4132,9 +4240,9 @@
 			"license": "MIT"
 		},
 		"node_modules/wasm-feature-detect": {
-			"version": "1.8.0",
+			"version": "1.9.0",
-			"resolved": "https://registry.npmjs.org/wasm-feature-detect/-/wasm-feature-detect-1.8.0.tgz",
+			"resolved": "https://registry.npmjs.org/wasm-feature-detect/-/wasm-feature-detect-1.9.0.tgz",
-			"integrity": "sha512-zksaLKM2fVlnB5jQQDqKXXwYHLQUVH9es+5TOOHwGOVJOCeRBCiPjwSg+3tN2AdTCzjgli4jijCH290kXb/zWQ==",
+			"integrity": "sha512-zonE+xlIIYtxPy++L24ow0hAD8CICb4+FgPyROd3buyXIqsJvUEDkBgfCCoXOd1Hu3DUr0GOfnPIdcGV+YpNaA==",
 			"license": "Apache-2.0"
 		},
 		"node_modules/webidl-conversions": {

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "1.4.2",
+	"version": "1.6.4",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",
@@ -26,12 +26,13 @@
 	},
 	"dependencies": {
 		"@anthropic-ai/sdk": "^0.102.0",
-		"@tensorflow/tfjs": "^4.22.0",
 		"@huggingface/transformers": "^4.2.0",
+		"@tensorflow/tfjs": "^4.22.0",
 		"@ztimson/node-utils": "^1.0.7",
 		"@ztimson/utils": "^0.29.4",
 		"cheerio": "^1.2.0",
 		"openai": "^6.42.0",
+		"pdf-parse": "^2.4.5",
 		"tesseract.js": "^7.0.0"
 	},
 	"devDependencies": {

src/antrhopic.ts

@@ -24,6 +24,13 @@ export class Anthropic extends LLMProvider {
 		return client;
 	}
 
+	private toWireContent(content: any): any {
+		if(!Array.isArray(content)) return content;
+		return content.map(c => c.type === 'image'
+			? {type: 'image', source: {type: 'base64', media_type: c.mime, data: c.data}}
+			: {type: 'text', text: c.text});
+	}
+
 	/** Convert standard history -> Anthropic wire format */
 	private toWire(history: LLMMessage[]): any[] {
 		const wire: any[] = [];
@@ -34,7 +41,7 @@ export class Anthropic extends LLMProvider {
 					{role: 'user', content: [{type: 'tool_result', tool_use_id: h.id, is_error: !!h.error, content: h.error || h.content || ''}]}
 				);
 			} else {
-				wire.push({role: h.role, content: h.content});
+				wire.push({role: h.role, content: this.toWireContent(h.content)});
 			}
 		}
 		return wire;
@@ -50,7 +57,7 @@ export class Anthropic extends LLMProvider {
 			const tools = options.tools || this.ai.options.llm?.tools || [];
 			const requestParams: any = {
 				model: options.model || this.model,
-				max_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || 4096,
+				max_tokens: options.maxTokens || this.ai.options.llm?.maxTokens || 4096,
 				system: options.system || this.ai.options.llm?.system || '',
 				temperature: options.temperature || this.ai.options.llm?.temperature || undefined,
 				tools: tools.map(t => ({

src/helpers.ts

@@ -7,10 +7,24 @@ export type MemoryNode = {
 	backlinks: string[];
 }
 
-export function buildMemoryGraph(memories: Memory[] | MemoryCache): MemoryNode[] {
+export function extractLinks(content: string): string[] {
+	if (!content) return [];
+	const matches = content.matchAll(/\[\[([^\]|]+)(?:\|[^\]]*)?\]\]/g);
+	return [...new Set([...matches].map(m => m[1].trim()))];
+}
+
+export function rebuildGraph(memories: Memory[] | MemoryCache): MemoryNode[] {
 	const mems = memories instanceof MemoryCache ? memories.memories : memories;
 	const nameSet = new Set(mems.map(m => m.name));
-	const ghosts = new Set<string>();
+
+	for (const m of mems) m.links = extractLinks(m.content).filter(l => l !== m.name);
+	for (const m of mems) m.backlinks = [];
+	for (const m of mems) {
+		for (const link of m.links) {
+			const target = mems.find(t => t.name === link);
+			if (target) target.backlinks.push(m.name);
+		}
+	}
 
 	const nodes: MemoryNode[] = mems.map(m => ({
 		name: m.name,
@@ -19,6 +33,7 @@ export function buildMemoryGraph(memories: Memory[] | MemoryCache): MemoryNode[]
 		backlinks: m.backlinks,
 	}));
 
+	const ghosts = new Set<string>();
 	for (const node of nodes) {
 		for (const link of node.links) {
 			if (!nameSet.has(link)) ghosts.add(link);
@@ -31,30 +46,28 @@ export function buildMemoryGraph(memories: Memory[] | MemoryCache): MemoryNode[]
 			name,
 			missing: true,
 			links: [],
-			backlinks: nodes
+			backlinks: nodes.filter(n => n.links.includes(name)).map(n => n.name),
-				.filter(n => n.links.includes(name))
+		})),
-				.map(n => n.name),
-		}))
 	];
 }
 
-export function renderMemoryGraph(nodes) {
+export function renderMemoryGraph(nodes: MemoryNode[]): string {
 	if (!nodes.length) return 'No memories yet.';
 
-	const groups = new Map();
+	const groups = new Map<string, (MemoryNode & {label: string})[]>();
 	for (const node of nodes) {
 		const [prefix, ...rest] = node.name.split('/');
 		const group = rest.length ? prefix : 'Root';
 		const label = rest.length ? rest.join('/') : node.name;
 		if (!groups.has(group)) groups.set(group, []);
-		groups.get(group).push({...node, label});
+		groups.get(group)!.push({...node, label});
 	}
 
 	const ghostCount = nodes.filter(n => n.missing).length;
 	const lines = [`Memory Graph (${nodes.length} nodes, ${ghostCount} ghost${ghostCount === 1 ? '' : 's'})`, ''];
 
 	for (const group of [...groups.keys()].sort()) {
-		const items = groups.get(group).sort((a, b) => a.label.localeCompare(b.label));
+		const items = groups.get(group)!.sort((a, b) => a.label.localeCompare(b.label));
 		lines.push(`${group}/`);
 		items.forEach((n, i) => {
 			const last = i === items.length - 1;

src/kd-tree.ts

@@ -103,9 +103,10 @@ class BoundedMaxHeap<T> {
 export class KDTree<T = unknown> {
 	private root: KDNode<T> | null = null;
 	private _size = 0;
-	private readonly dims: number;
 	private readonly distanceFn: (a: number[], b: number[]) => number;
 
+	readonly dims: number;
+
 	/**
 	 * @param dims           Dimensionality of all vectors (must be consistent).
 	 * @param metric         Distance metric to use. Default: "euclidean".

src/llm.ts

@@ -1,15 +1,20 @@
-import {snakeCase} from '@ztimson/utils';
+import {clean, makeUnique, snakeCase} from '@ztimson/utils';
 import {AbortablePromise, Ai} from './ai.ts';
 import {Anthropic} from './antrhopic.ts';
 import {OpenAi} from './open-ai.ts';
 import {LLMProvider} from './provider.ts';
 import {AiTool, AiToolArg} from './tools.ts';
 import {fileURLToPath} from 'url';
-import {dirname, join} from 'path';
 import {spawn} from 'node:child_process';
-import {Memory, MemoryCache, MemoryManager, MemoryOptions} from './memory.ts';
+import {Memory, MemoryCache, MemoryManager, MemoryOptions, stripHeader} from './memory.ts';
+import {mkdtempSync} from 'node:fs';
+import fs from 'node:fs/promises';
+import {tmpdir} from 'node:os';
+import {dirname, join, basename, extname} from 'path';
+import { PDFParse } from 'pdf-parse';
 
 const MAX_AGENT_DEPTH = 5;
+const PDF_OCR_PAGE_THRESHOLD = 12; // above this many pages, OCR scanned pages instead of feeding images to the model
 
 export type AnthropicConfig = {proto: 'anthropic', token: string | string[]};
 export type OpenAiConfig = {proto: 'openai', host?: string, token: string | string[]};
@@ -27,11 +32,26 @@ export type Agent = {
 	agents?: string[] | null;
 }
 
+export type LLMFile = {
+	/** Path to file on disk */
+	path?: string;
+	/** File content: raw text, base64-encoded binary, or a Buffer */
+	content?: string | Buffer;
+	/** Original filename, used to infer type from extension */
+	name?: string;
+	/** Mime type override, inferred from extension if omitted */
+	mime?: string;
+	/** @internal set once extraction has run, skips re-processing next turn */
+	extracted?: boolean;
+};
+
 export type LLMMessage = {
 	/** Message originator */
 	role: 'assistant' | 'system' | 'user';
 	/** Message content */
 	content: string | any;
+	/** Files attached to request */
+	files?: LLMFile[];
 	/** Timestamp */
 	timestamp?: number;
 	/** Response duration in ms */
@@ -67,7 +87,7 @@ export type LLMRequest = {
 	/** Message history */
 	history?: LLMMessage[];
 	/** Max tokens for request */
-	max_tokens?: number;
+	maxTokens?: number;
 	/** 0 = Rigid Logic, 1 = Balanced, 2 = Hyper Creative **/
 	temperature?: number;
 	/** Available tools */
@@ -88,6 +108,8 @@ export type LLMRequest = {
 	mcp?: McpServer[];
 	/** Subagents exposed as delegatable/wrapped tools */
 	agents?: Agent[];
+	/** Attach files to request */
+	files?: LLMFile[];
 	/** @internal recursion guard for nested agent delegation */
 	_agentDepth?: number;
 }
@@ -111,6 +133,11 @@ export type Skill = {
 }
 
 class LLM {
+	private static AUDIO_EXT = ['wav','mp3','m4a','flac','ogg','aac','wma'];
+	private static IMAGE_EXT = ['png','jpg','jpeg','bmp','gif','tiff','webp'];
+	private static TEXT_EXT = ['txt','md','csv','json','xml','html','js','ts','py','yaml','yml','log'];
+	private static PDF_EXT = ['pdf'];
+
 	private memoryManager!: MemoryManager;
 
 	defaultModel!: string;
@@ -126,14 +153,126 @@ class LLM {
 		this.memoryManager = new MemoryManager(this);
 	}
 
+	private async loadBuffer(file: LLMFile, asText: boolean): Promise<Buffer> {
+		if(file.path) return fs.readFile(file.path);
+		if(Buffer.isBuffer(file.content)) return file.content;
+		if(typeof file.content === 'string') return Buffer.from(file.content, asText ? 'utf-8' : 'base64');
+		throw new Error('No path or content provided');
+	}
+
+	private async writeTemp(name: string, buffer: Buffer): Promise<string> {
+		const path = join(mkdtempSync(join(tmpdir(), 'ai-file-')), name);
+		await fs.writeFile(path, buffer);
+		return path;
+	}
+
+	/**
+	 * Extract text from a PDF. Pages with no text layer (scanned/image-only) are handled as either:
+	 * - Rendered to images and returned alongside the text so the (vision-capable) model can read them directly
+	 * - OCR'd via Tesseract when the doc is too large to reasonably pass as images
+	 */
+	private async resolvePdf(buffer: Buffer): Promise<{text: string, images: {mime: string, data: string}[]}> {
+		const parser = new PDFParse({data: buffer});
+		try {
+			const {text, pages} = await parser.getText();
+			const scanned = (pages || []).filter(p => !p.text?.trim());
+			if(!scanned.length) return {text: text.trim() || '[Empty PDF]', images: []};
+			const total = pages.length;
+			const pageNums = scanned.map(p => p.num);
+			const {pages: shots} = await parser.getScreenshot({partial: pageNums});
+			if(total <= PDF_OCR_PAGE_THRESHOLD) {
+				return {
+					text: text.trim(),
+					images: shots.map(s => ({mime: 'image/png', data: Buffer.from(s.data).toString('base64')}))
+				};
+			}
+			const ocrText = await Promise.all(shots.map(async (s, i) => {
+				const path = await this.writeTemp(`page-${pageNums[i]}.png`, Buffer.from(s.data));
+				try {
+					return await this.ai.vision.ocr(path) || '';
+				} finally {
+					fs.rm(dirname(path), {recursive: true, force: true}).catch(() => {});
+				}
+			}));
+			return {text: [text.trim(), ...ocrText].filter(Boolean).join('\n\n'), images: []};
+		} finally {
+			await parser.destroy();
+		}
+	}
+
+	private async resolveFile(file: LLMFile): Promise<{text?: string, images?: {mime: string, data: string}[]}> {
+		const name = file.name || (file.path ? basename(file.path) : 'file');
+
+		// Already resolved on a previous turn, reuse cached text
+		if(file.extracted) return {text: `<file name="${name}">\n${file.content}\n</file>`};
+
+		const ext = extname(name).slice(1).toLowerCase();
+		const mime = file.mime || '';
+		const isAudio = mime.startsWith('audio/') || LLM.AUDIO_EXT.includes(ext);
+		const isImage = mime.startsWith('image/') || LLM.IMAGE_EXT.includes(ext);
+		const isPdf = mime === 'application/pdf' || LLM.PDF_EXT.includes(ext);
+		const isText = mime.startsWith('text/') || LLM.TEXT_EXT.includes(ext);
+
+		let tmpDir: string | null = null;
+		try {
+			if(isImage) {
+				const data = (await this.loadBuffer(file, false)).toString('base64');
+				return {images: [{mime: mime || `image/${ext === 'jpg' ? 'jpeg' : ext}`, data}]};
+			}
+
+			if(isPdf) {
+				const {text, images} = await this.resolvePdf(await this.loadBuffer(file, false));
+				// Only cache/skip re-processing when we didn't need to hand off images (OCR'd or fully text-based)
+				if(!images.length) {
+					file.content = text;
+					file.extracted = true;
+					delete file.path;
+				}
+				return {text: `<file name="${name}">\n${text || '[Scanned PDF - see attached page images]'}\n</file>`, images};
+			}
+
+			let text: string;
+			if(isAudio) {
+				let path = file.path;
+				if(!path) {
+					const buffer = await this.loadBuffer(file, false);
+					path = await this.writeTemp(name, buffer);
+					tmpDir = dirname(path);
+				}
+				text = await this.ai.audio.asr(path) || '';
+			} else if(isText) {
+				text = (await this.loadBuffer(file, true)).toString('utf-8');
+			} else {
+				text = typeof file.content === 'string' ? file.content : `[Binary file, unable to extract: ${name}]`;
+			}
+			file.content = text;
+			file.extracted = true;
+			delete file.path;
+
+			return {text: `<file name="${name}">\n${text}\n</file>`};
+		} catch(err: any) {
+			return {text: `<file name="${name}">Failed to process: ${err.message}</file>`};
+		} finally {
+			if(tmpDir) fs.rm(tmpDir, {recursive: true, force: true}).catch(() => {});
+		}
+	}
+
+	private async resolveFiles(files: LLMFile[]): Promise<{text: string, images: {mime: string, data: string}[]}> {
+		const resolved = await Promise.all(files.map(f => this.resolveFile(f)));
+		return {
+			text: resolved.filter(r => r.text).map(r => r.text).join('\n\n'),
+			images: resolved.flatMap(r => r.images || [])
+		};
+	}
+
 	private setupAgent(agents: Agent[] = [], allAgents: Agent[], history: LLMMessage[], aborts: (() => void)[], depth = 0, delegateState: {resp: string | null}): AiTool[] {
 		return agents.map(a => {
 			const toolName = `${a.delegate ? '' : 'sub'}agent_${snakeCase(a.name)}`;
 			return {
 				name: toolName,
 				description: `${a.delegate ? 'Delegate to ' : ''}Subagent: ${a.description || a.name}`,
-				args: <any>(a.delegate ? {} : {
+				args: clean<any>({
-					context: {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true},
+					context: !a.delegate ? {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true} : undefined,
 					instructions: {type: 'string', description: 'Detailed instructions for subagent to complete', required: true},
 				}),
 				fn: async (args: any, stream: any, ai: any, id?: string) => {
@@ -143,13 +282,12 @@ class LLM {
 						.map(name => allAgents.find(x => x.name === name))
 						.filter((x): x is Agent => !!x && x.name !== a.name);
 
-					// Delegate continues the SAME live conversation - no new user turn needed,
-					// `history` is always current (shared, mutated in place) by the time this runs
 					const q = a.delegate ? '' : `${args.instructions}${args.context ? `\n\n<context>${args.context}</context>` : ''}`;
 
 					const request = this.ask(q, {
-						system: `You are a specialized subagent. ${a.delegate ? 'Your output streams directly to the user for the remainder of this turn. You are mid conversation - dispense with greetings.' : 'You are wrapped in a tool call that will be analysis by an LLM - dispense with conversation'}
+						system: `You are a specialized subagent being called from an orchestrator
-As a subagent, focus on executing your task completely using available tools and returning only the final result - no commentary, questions, or dialogue.
+${a.delegate ? 'Your output streams directly to the user for the remainder of this turn. You are mid conversation' : 'You are wrapped in a tool call that will be analysis by an LLM'}
+Dispense with greetings and focus on your instructions using available tools and returning only the final result unless specifically instructed to converse
 
 ${a.system}`,
 						model: a.model || undefined,
@@ -208,7 +346,7 @@ ${a.system}`,
 
 		const list = allTools.map(t => `- ${t.name}: ${t.description}`).join('\n');
 		return {
-			prompt: `You have access to the following MCP tools:\n${list}`,
+			prompt: `## MCP\nYou have access to the following MCP tools:\n${list}`,
 			tools: allTools
 		};
 	}
@@ -217,7 +355,7 @@ ${a.system}`,
 		if(!skills?.length) return {prompt: '', tools: []};
 		const list = skills.map(s => `- ${s.name}: ${s.description}`).join('\n');
 		return {
-			prompt: `You have access to the following skill documents, use \`read_skill\` to access them:\n${list}`,
+			prompt: `## Skills\nYou have access to the following skill documents, whenever there is overlap between a question and a skill file, use \`skill_read\` to get instructions and background knowledge:\n${list}`,
 			tools: [{
 				name: 'skill_read',
 				description: 'Read the full content of a skill/knowledge document',
@@ -272,10 +410,9 @@ ${a.system}`,
 		promise = (async () => {
 			let tools: AiTool[] = options.tools || this.ai.options.llm?.tools || [];
 			const prompts: string[] = [];
-			// `history` is the single source of truth from here on - mutated in place by
-			// this call AND by any nested/delegated agent calls sharing the same array
 			let history = options.history || [];
-			if(message) history.push({role: 'user', content: message, timestamp: Date.now()});
+			const files = options.files || [];
+			if(message || files.length) history.push({role: 'user', content: message || '', timestamp: Date.now()});
 
 			// MCP
 			const mcp = options.mcp || this.ai.options?.llm?.mcp;
@@ -319,18 +456,26 @@ ${a.system}`,
 							} else listed.push(r);
 						}
 
-						prompts.unshift(`You have access to the following memory files:
+						prompts.unshift(`## Memory
-${mems.map(m => `- ${m.name}: ${m.description}`).join('\n')}
+You have a background memory process which has prefetched relevant information${mem.update ? ' and will create new memories from this conversation' : ''} for you
-${preloaded.length ? `
+Assume it is perfect and never mention this process to anyone ever
-Relevant memories have been preloaded:
+Always use your memories to craft a personalized response, they contain links / [[wiki links]] which you use navigate between them
-${preloaded.map(r => `
+${mem.tool ? `You can access memory files via the \`memory_search\` and \`memory_recall\` tools
-**${r.name}**
+When you need information about the user, \`memory_recall\` \`People/User\` before asking (fetch if not included bellow)
-${r.description}
+When you need information not provided, attempt 1-3 \`memory_search\` calls with distinct queries before asking` : ''}
-${r.content}
+
-`).join('\n---\n')}
+${preloaded.length ? `### Prefetched Memories (Most relevant first):
-` : ''}${listed.length ? `
+
-Also relevant but not preloaded (use \`memory_recall\`): ${listed.map(r => r.name).join(', ')}
+${preloaded.map(r => `Memory: ${r.name}
-` : ''}`.trim());
+Description: ${r.description}
+Linked: ${makeUnique([...r.links, ...r.backlinks]).join(', ')}
+\`\`\`
+${stripHeader(r.content)}
+\`\`\``).join('\n\n')}` : ''}
+${mem.tool && listed.length ? '\n' + listed.map(r => `Memory: ${r.name}
+Description: ${r.description}
+Linked: ${makeUnique([...r.links, ...r.backlinks]).join(', ')}
+<!-- Truncated -->`).join('\n\n') : ''}`.trim())
 					}
 					if(mem.tool) tools.push(this.memoryManager.tools.read(mem.memory));
 				}
@@ -338,17 +483,32 @@ Also relevant but not preloaded (use \`memory_recall\`): ${listed.map(r => r.nam
 
 			if(aborted) throw Object.assign(new Error('Aborted'), {name: 'AbortError'});
 
+			const lastMsg = history[history.length - 1];
+			if(files.length && lastMsg?.role === 'user') lastMsg.files = files;
+			const restores: {msg: LLMMessage, content: any}[] = [];
+			for(const msg of history) {
+				if(msg.role !== 'user' || !msg.files?.length) continue;
+				const {text, images} = await this.resolveFiles(msg.files);
+				if(!text && !images.length) continue;
+				restores.push({msg, content: msg.content});
+				const merged = text ? [msg.content, text].filter(Boolean).join('\n\n') : msg.content;
+				msg.content = images.length
+					? [...images.map(i => ({type: 'image', mime: i.mime, data: i.data})), {type: 'text', text: merged}]
+					: merged;
+			}
+
 			const toolTimings = new Map<string, {duration: number, tps: number}>();
 			tools = this.wrapToolTiming(tools, toolTimings);
 
 			if(aborted) throw Object.assign(new Error('Aborted'), {name: 'AbortError'});
 
 			prompts.unshift(options.system || this.ai.options.llm?.system || '');
-			// Message already appended to shared `history` above - pass '' so the provider
-			// doesn't push a duplicate user turn
 			request = this.models[m].ask('', {...options, tools, system: prompts.filter(Boolean).join('\n\n')});
 			let resp = await request;
 
+			// Strip the file injection shim
+			restores.forEach(({msg, content}) => msg.content = content);
+
 			// Capture meta (duration / tps)
 			for(const h of history) {
 				if(h.role === 'tool' && toolTimings.has(h.id)) Object.assign(h, toolTimings.get(h.id));
@@ -376,14 +536,6 @@ Also relevant but not preloaded (use \`memory_recall\`): ${listed.map(r => r.nam
 		return Object.assign(promise, {abort});
 	}
 
-	/**
-	 * Digest full conversation history into memory documents.
-	 * Call on session end to persist the conversation.
-	 */
-	async updateMemory(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest = {}): Promise<Memory[]> {
-		return this.memoryManager.memorize(history, memories, {model: this.defaultModel, ...options});
-	}
-
 	/**
 	 * Compress chat history to reduce context size
 	 * @param {LLMMessage[]} history Chatlog that will be compressed
@@ -563,6 +715,14 @@ Also relevant but not preloaded (use \`memory_recall\`): ${listed.map(r => r.nam
 		};
 	}
 
+	/**
+	 * Digest full conversation history into memory documents.
+	 * Call on session end to persist the conversation.
+	 */
+	async memorize(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest = {}): Promise<Memory[]> {
+		return this.memoryManager.memorize(history, memories, {model: this.defaultModel, ...options});
+	}
+
 	/**
 	 * Create a summary of some text
 	 * @param {string} text Text to summarize

src/memory.ts

@@ -1,9 +1,11 @@
+import {MemoryNode, rebuildGraph} from './helpers.ts';
 import {LLMRequest, LLMMessage} from './llm.ts';
 import {AiTool} from './tools.ts';
 import {KDPoint, KDTree} from './kd-tree.ts';
+import {escapeRegex} from '@ztimson/utils';
 
-const FACTS_HEADING = '## Facts';
+const MERGE_THRESHOLD = 0.88;
-
+const PENDING_HEADING = '## Pending';
 const GENERIC_TEMPLATE = `# {{Title}}
 
 ## Summary
@@ -12,76 +14,6 @@ const GENERIC_TEMPLATE = `# {{Title}}
 
 ## Related`;
 
-export class MemoryCache {
-	private tree: KDTree<MemoryRef>;
-	public memories: Memory[];
-
-	get length() { return this.memories.length; }
-
-	constructor(memories: Memory[]) {
-		this.memories = memories;
-		this.tree = this.buildTree();
-	}
-
-	private buildTree(): KDTree<MemoryRef> {
-		const embedded = this.memories.filter(m => m.embedding?.length);
-		if (!embedded.length) return new KDTree<MemoryRef>(0);
-
-		const dims = embedded[0].embedding.length;
-		const points: KDPoint<MemoryRef>[] = embedded.map(m => ({
-			vector: m.embedding,
-			payload: {name: m.name, description: m.description},
-		}));
-
-		return new KDTree<MemoryRef>(dims, 'cosine', points);
-	}
-
-	search(query: number[], limit: number): MemoryRef[] {
-		const results = this.tree.knn(query, limit);
-		return results.map(r => r.point.payload);
-	}
-
-	add(memory: Memory): void {
-		this.memories.push(memory);
-		this.rebuild();
-	}
-
-	update(memory: Memory): void {
-		const idx = this.memories.findIndex(m => m.name === memory.name);
-		if (idx !== -1) {
-			this.memories[idx] = memory;
-		} else {
-			this.memories.push(memory);
-		}
-		this.rebuild();
-	}
-
-	remove(name: string): void {
-		const idx = this.memories.findIndex(m => m.name === name);
-		if (idx !== -1) {
-			this.memories.splice(idx, 1);
-			this.rebuild();
-		}
-	}
-
-	rebuild(): void {
-		this.tree = this.buildTree();
-	}
-}
-
-export type MemoryOptions = {
-	/** Memory object */
-	memory: Memory[] | MemoryCache;
-	/** Inject N memories into the system prompt */
-	inject?: boolean;
-	/** expose recall tool to LLM */
-	tool?: boolean;
-	/** Update memory on compression */
-	update?: boolean;
-	/** Max context size of memories to inject to each call (removed immediately after use) */
-	maxTokens?: number;
-}
-
 export type Memory = {
 	name: string;
 	description: string;
@@ -101,21 +33,9 @@ type FactBucket = {
 	facts: string[];
 }
 
-function extractLinks(content: string): string[] {
+type FactAgentResult = {
-	if (!content) return [];
+	buckets: FactBucket[];
-	const matches = content.matchAll(/\[\[([^\]]+)\]\]/g);
+	journal: string;
-	return [...new Set([...matches].map(m => m[1].trim()))];
-}
-
-export function rebuildGraph(memories: Memory[]): void {
-	for (const m of memories) m.links = extractLinks(m.content).filter(l => l !== m.name);
-	for (const m of memories) m.backlinks = [];
-	for (const m of memories) {
-		for (const link of m.links) {
-			const target = memories.find(t => t.name === link);
-			if (target) target.backlinks.push(m.name);
-		}
-	}
 }
 
 function dedupeFacts(facts: string[]): string[] {
@@ -138,12 +58,136 @@ function cosineDistance(a: number[], b: number[]): number {
 	return denom === 0 ? 1 : 1 - dot / denom;
 }
 
-function getWeekMonday(date: Date = new Date()): string {
+function cosineSearch(query: number[], memories: Memory[], limit: number): MemoryRef[] {
-	const d = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()));
+	return memories
-	const day = d.getUTCDay();
+		.filter(m => m.embedding?.length)
-	const diff = day === 0 ? -6 : 1 - day;
+		.map(m => ({ref: {name: m.name, description: m.description}, distance: cosineDistance(query, m.embedding)}))
-	d.setUTCDate(d.getUTCDate() + diff);
+		.sort((a, b) => a.distance - b.distance)
-	return d.toISOString().slice(0, 10);
+		.slice(0, limit)
+		.map(s => s.ref);
+}
+
+export function stripHeader(content: string): string {
+	return content.replace(/^---[\s\S]*?\n---\n?/, '').trimStart();
+}
+
+export class MemoryCache {
+	private tree!: KDTree<MemoryRef>;
+	public memories: Memory[];
+	public nodes: MemoryNode[] = [];
+
+	get length() { return this.memories.length; }
+
+	constructor(memories: Memory[]) {
+		this.memories = memories;
+		this.rebuild();
+	}
+
+	private buildTree(): KDTree<MemoryRef> {
+		const embedded = this.memories.filter(m => m.embedding?.length);
+		if (!embedded.length) return new KDTree<MemoryRef>(0);
+
+		const dims = embedded[0].embedding.length;
+		const points: KDPoint<MemoryRef>[] = embedded.map(m => ({
+			vector: m.embedding,
+			payload: {name: m.name, description: m.description},
+		}));
+
+		return new KDTree<MemoryRef>(dims, 'cosine', points);
+	}
+
+	search(query: number[], limit: number): MemoryRef[] {
+		if (!this.tree || this.tree.dims === 0) return [];
+		return this.tree.knn(query, limit).map(r => r.point.payload);
+	}
+
+	add(memory: Memory): void {
+		this.memories.push(memory);
+		this.rebuild();
+	}
+
+	update(memory: Memory): void {
+		const existing = this.memories.find(m => m.name === memory.name);
+		if (existing) Object.assign(existing, memory);
+		else this.memories.push(memory);
+		this.rebuild();
+	}
+
+	remove(name: string): void {
+		const idx = this.memories.findIndex(m => m.name === name);
+		if (idx !== -1) {
+			this.memories.splice(idx, 1);
+			this.rebuild();
+		}
+	}
+
+	rebuild(): void {
+		this.nodes = rebuildGraph(this.memories);
+		this.tree = this.buildTree();
+	}
+}
+
+class MemoryAccessor {
+	readonly list: Memory[];
+	private readonly cache: MemoryCache | null;
+
+	constructor(memories: Memory[] | MemoryCache) {
+		this.cache = memories instanceof MemoryCache ? memories : null;
+		this.list = this.cache ? this.cache.memories : <Memory[]>memories;
+	}
+
+	find(name: string): Memory | undefined {
+		return this.list.find(m => m.name === name);
+	}
+
+	commit(): MemoryNode[] {
+		if (this.cache) {
+			this.cache.rebuild();
+			return this.cache.nodes;
+		}
+		return rebuildGraph(this.list);
+	}
+
+	ghosts(): string[] {
+		const nodes = this.cache ? this.cache.nodes : rebuildGraph(this.list);
+		return nodes.filter(n => n.missing).map(n => n.name);
+	}
+
+	search(vector: number[], limit: number): MemoryRef[] {
+		return this.cache ? this.cache.search(vector, limit) : cosineSearch(vector, this.list, limit);
+	}
+
+	forget(name: string): boolean {
+		const idx = this.list.findIndex(m => m.name === name);
+		if (idx === -1) return false;
+		this.list.splice(idx, 1);
+		this.commit();
+		return true;
+	}
+
+	async backfillEmbeddings(llm: any): Promise<number> {
+		const missing = this.list.filter(m => !m.embedding?.length);
+		if (!missing.length) return 0;
+		await Promise.all(missing.map(async node => {
+			const [e] = await llm.embedding(`${node.description}\n\n${stripHeader(node.content)}`.trim());
+			if (e) node.embedding = e.embedding;
+		}));
+		this.commit();
+		return missing.length;
+	}
+}
+
+export type MemoryOptions = {
+	/** Memory object */
+	memory: Memory[] | MemoryCache;
+	/** Inject N memories into the system prompt */
+	inject?: boolean;
+	/** expose recall tool to LLM */
+	tool?: boolean;
+	/** Update memory on compression */
+	update?: boolean;
+	/** Max context size of memories to inject to each call (removed immediately after use) */
+	maxTokens?: number;
 }
 
 export class MemoryManager {
@@ -156,21 +200,6 @@ export class MemoryManager {
 	}>();
 
 	tools = {
-		read: (memories: Memory[] | MemoryCache): AiTool => ({
-			name: 'memory_recall',
-			description: 'Read the full content of a memory document',
-			args: {
-				name: {type: 'string', description: 'Exact memory name', required: true},
-			},
-			fn: (args: any) => {
-				const mems = this.unwrap(memories);
-				const mem = mems.find(m => m.name === args.name);
-				if (!mem) return 'Document not found';
-				this.touch(mem.name);
-				return mem.content;
-			},
-		}),
-
 		forget: (memories: Memory[] | MemoryCache): AiTool => ({
 			name: 'memory_forget',
 			description: 'Permanently delete a memory document and clean up all references to it',
@@ -182,51 +211,60 @@ export class MemoryManager {
 				return result ? `Forgotten: ${args.name}` : `Not found: ${args.name}`;
 			},
 		}),
+
+		read: (memories: Memory[] | MemoryCache): AiTool => ({
+			name: 'memory_recall',
+			description: 'Read the full content of a memory document',
+			args: {
+				name: {type: 'string', description: 'Exact memory name', required: true},
+			},
+			fn: (args: any) => {
+				const mem = this.access(memories).find(args.name);
+				if (!mem) return 'Document not found';
+				this.touch(mem.name);
+				return mem.content;
+			},
+		}),
+
+		search: (memories: Memory[] | MemoryCache): AiTool => ({
+			name: 'memory_search',
+			description: 'Use embeddings to find the MOST relevant memories, even if NOT relevant',
+			args: {
+				query: {type: 'string', description: 'What to look for in the memories', required: true},
+				limit: {type: 'number', description: 'Number of memories to return', default: 1},
+			},
+			fn: async ({query, limit}) => {
+				const mem = await this.recollect(query, memories, limit)
+				return mem.map(m => `Memory: ${m.name}
+Description: ${m.description}
+Links: ${[...m.links, ...m.backlinks].join(', ')}
+\`\`\`
+${m.content}
+\`\`\``).join('\n\n');
+			},
+		}),
 	};
 
 	constructor(private llm: any) {}
 
 	static normalize(m?: Memory[] | MemoryCache | MemoryOptions) {
-		if(!m) return null;
+		if (!m) return null;
 		const raw = m instanceof MemoryCache || Array.isArray(m);
 		return raw ? {memory: <Memory[] | MemoryCache>m, inject: true, tool: true, update: true} : {inject: true, tool: true, update: true, ...m};
 	}
 
-	private unwrap(memories: Memory[] | MemoryCache): Memory[] {
+	private access(memories: Memory[] | MemoryCache): MemoryAccessor {
-		return memories instanceof MemoryCache ? memories.memories : memories;
+		return new MemoryAccessor(memories);
 	}
 
-	private sync(memories: Memory[] | MemoryCache): void {
+	private stage(node: Memory, block: string): void {
-		if (memories instanceof MemoryCache) memories.rebuild();
+		this.ensureDoc(node);
-	}
+		const body = stripHeader(node.content);
-
+		const idx = body.indexOf(PENDING_HEADING);
-	private parseFrontmatter(content: string): {fm: Map<string, string>, body: string} {
+		const newBody = idx === -1
-		const match = content.match(/^---\n([\s\S]*?)\n---\n?([\s\S]*)$/);
+			? `${body.trimEnd()}\n\n${PENDING_HEADING}\n${block}\n`
-		if (!match) return {fm: new Map(), body: content};
+			: `${body.slice(0, idx + PENDING_HEADING.length)}\n${block}${body.slice(idx + PENDING_HEADING.length)}`;
-		const fm = new Map<string, string>();
+		node.content = this.touchHeader(node, newBody);
-		for (const line of match[1].split('\n')) {
-			const i = line.indexOf(':');
-			if (i === -1) continue;
-			fm.set(line.slice(0, i).trim(), line.slice(i + 1).trim());
-		}
-		return {fm, body: match[2]};
-	}
-
-	private writeFrontmatter(fm: Map<string, string>, body: string): string {
-		const lines = [...fm.entries()].map(([k, v]) => `${k}: ${v}`);
-		return `---\n${lines.join('\n')}\n---\n\n${body.trimStart()}`;
-	}
-
-	private stripHeader(content: string): string {
-		return content.replace(/^---[\s\S]*?\n---\n?/, '').trimStart();
-	}
-
-	private touchHeader(node: Memory, body: string): string {
-		const {fm} = this.parseFrontmatter(node.content);
-		fm.set('name', node.name);
-		fm.set('description', node.description || '');
-		fm.set('modified', new Date().toISOString());
-		return this.writeFrontmatter(fm, body);
 	}
 
 	private ensureDoc(node: Memory): void {
@@ -235,148 +273,120 @@ export class MemoryManager {
 		node.content = this.touchHeader(node, `# ${title}\n`);
 	}
 
-	private appendFacts(node: Memory, facts: string[]): void {
+	private sanitizeDescription(text: string): string {
-		this.ensureDoc(node);
+		return (text ?? '').replace(/\s+/g, ' ').trim().slice(0, 240);
-		const body = this.stripHeader(node.content);
-		const bullets = facts.map(f => `- ${f}`).join('\n');
-		const idx = body.indexOf(FACTS_HEADING);
-		const newBody = idx === -1
-			? `${body.trimEnd()}\n\n${FACTS_HEADING}\n${bullets}\n`
-			: `${body.slice(0, idx + FACTS_HEADING.length)}\n${bullets}${body.slice(idx + FACTS_HEADING.length)}`;
-		node.content = this.touchHeader(node, newBody);
 	}
 
-	decay() {
+	private relink(memories: Memory[], from: string, to: string): void {
-		for(const [name, ttl] of this.recentlyTouched) {
+		const pattern = new RegExp(`\\[\\[${escapeRegex(from)}\\]\\]`, 'g');
-			if(ttl <= 1) this.recentlyTouched.delete(name);
+		for (const m of memories) if (pattern.test(m.content)) m.content = m.content.replace(pattern, `[[${to}]]`);
-			else this.recentlyTouched.set(name, ttl - 1);
-		}
 	}
 
-	touch(name: string, ttl = 2) {
+	private async factAgent(conversation: string, store: MemoryAccessor, options: LLMRequest): Promise<FactAgentResult> {
-		this.recentlyTouched.set(name, ttl);
+		const ghosts = store.ghosts();
-	}
 
-	getTouched(): string[] {
+		const response = await this.llm.ask(conversation, {
-		return [...this.recentlyTouched.keys()];
+			model: options.model,
-	}
+			temperature: 0.2,
+			system: `You are a fact extractor for Obsidian-style knowledge vaults. Analyze the conversation and produce:
 
-	forget(name: string, memories: Memory[] | MemoryCache): boolean {
+1. Journal recap (single paragraph)
-		const mem = this.unwrap(memories);
+   - "Captains Log" style record keeping
-		const idx = mem.findIndex(m => m.name === name);
+   - What was discussed/worked on, decisions, user's events/state/mood, general context
-		if (idx === -1) return false;
+   - Leave empty only for trivial/empty exchanges/small talk
 
-		mem.splice(idx, 1);
+2. Fact buckets
-		rebuildGraph(mem);
+   - ONLY facts the USER explicitly stated about themselves, their work, projects, or decisions made during this conversation
-		this.sync(memories);
+   - NEVER extract greetings, pleasantries, or anything the assistant itself said
-		return true;
+   - Extract the final/end state, not deltas
-	}
 
-	async recollect(query: string, memories: Memory[] | MemoryCache, limit = 5, graphDepth = 1): Promise<Memory[]> {
+Path assignment rules:
-		const mem = this.unwrap(memories);
+   - Reuse existing node names whenever possible
-		if (!mem.length) return [];
+   - Documents should be grouped and named by the root subject
+     - Person → People/Name
+     - Project → Projects/Name
+     - Concept → Concepts/Name
+   - A bug report, its investigation, should be nested and attached to the same root subject node
+   - Tickets/one-off tasks → file under the project/name/component they belong to
+   - Only create a new top-level node when the fact belongs to a genuinely new subject (person/project/concept)\`
 
-		const [e] = await this.llm.embedding(query);
+Available nodes:
-		if (!e) return [];
+${this.listNodes(store.list).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}
+${ghosts.length ? `${ghosts.map(g => `- ${g}: (Ghost)`).join('\n')}` : ''}`,
+			schema: {
+				journal: {type: 'string', description: 'Short day-to-day recap; empty if nothing happened.', required: false},
+				buckets: {type: 'array', description: 'Groups of facts to remember; empty array if nothing worth storing.', items: {
+						type: 'object', items: {
+							subject: {type: 'string', description: 'Exact node name or new path (e.g. "People/Sarah", "Projects/Oxide")', required: true},
+							facts: {type: 'array', description: 'Facts to store here', items: {type: 'string'}},
+						},
+					},
+				},
+			},
+		});
 
-		let vectorResults: MemoryRef[];
+		const buckets = new Map<string, string[]>();
-		if (memories instanceof MemoryCache) vectorResults = memories.search(e.embedding, limit);
+		for (const bucket of response.buckets ?? []) {
-		else vectorResults = this.cosineSearch(e.embedding, mem, limit);
+			const subject = bucket.subject.trim();
-		const found = new Set<string>(vectorResults.map(r => r.name));
+			const facts = buckets.get(subject) ?? [];
-
+			facts.push(...dedupeFacts(bucket.facts));
-		if (graphDepth > 0) {
+			buckets.set(subject, facts);
-			const frontier = [...found];
-			for (let depth = 0; depth < graphDepth; depth++) {
-				const next: string[] = [];
-				for (const name of frontier) {
-					const node = mem.find(m => m.name === name);
-					if (!node) continue;
-					for (const link of node.links) {
-						if (!found.has(link) && mem.find(m => m.name === link)) {
-							found.add(link);
-							next.push(link);
-						}
-					}
-				}
-				frontier.splice(0, frontier.length, ...next);
-				if (!frontier.length) break;
-			}
 		}
 
-		const vectorOrder = vectorResults.map(r => r.name);
+		return {
-		const graphExpansions = [...found].filter(n => !vectorOrder.includes(n));
+			buckets: buckets.entries().toArray().map(([subject, facts]) => ({subject, facts})),
-		const ordered = [...vectorOrder, ...graphExpansions];
+			journal: (response.journal ?? '').trim(),
-		return ordered.map(n => mem.find(m => m.name === n)!).filter(Boolean);
+		};
 	}
 
-	private cosineSearch(query: number[], memories: Memory[], limit: number): MemoryRef[] {
+	private getWeekMonday(date: Date = new Date()): string {
-		const scored = memories
+		const d = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()));
-			.filter(m => m.embedding?.length)
+		const day = d.getUTCDay();
-			.map(m => ({
+		const diff = day === 0 ? -6 : 1 - day;
-				ref: {name: m.name, description: m.description},
+		d.setUTCDate(d.getUTCDate() + diff);
-				distance: cosineDistance(query, m.embedding),
+		return d.toISOString().slice(0, 10);
-			}))
-			.sort((a, b) => a.distance - b.distance)
-			.slice(0, limit);
-		return scored.map(s => s.ref);
 	}
 
 	private listNodes(memories: Memory[]): MemoryRef[] {
 		return memories.map(m => ({name: m.name, description: m.description}));
 	}
 
-	async memorize(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest): Promise<Memory[]> {
+	/** Find the nearest node above the similarity threshold and fold the smaller/less-connected one into
-		const conversation = history
+	 * the other. Journals are exempt — they're partitioned by date, not topic, and merging across weeks
-			.filter(h => h.role === 'user' || h.role === 'assistant')
+	 * would wreck the timeline. Returns 'merged' if `node` absorbed another (caller should re-run the doc
-			.map(h => `[${h.role}]: ${h.content}`).join('\n\n').trim();
+	 * agent), 'absorbed' if `node` itself got folded away (caller should stop touching it), or null. */
-		if (!conversation) return [];
+	private async checkMerge(node: Memory, memories: Memory[] | MemoryCache, options: LLMRequest, threshold = MERGE_THRESHOLD): Promise<Memory | null> {
+		if (!node.embedding?.length || node.name.startsWith('Journal/')) return null;
+		const store = this.access(memories);
 
-		const uid = `${Date.now()}_${Math.random().toString(36).slice(2)}`;
+		let closest: Memory | null = null, closestDist = Infinity;
-		// NOTE: adjust field names below (id/tool_call_id/name) to match your LLMMessage/tool-call schema.
+		for (const other of store.list) {
-		const pending = {role: 'tool', name: 'memory_process', id: uid, content: 'Processing…'} as unknown as LLMMessage;
+			if (other.name === node.name || other.name.startsWith('Journal/') || !other.embedding?.length) continue;
-		history.push(pending);
+			const d = cosineDistance(node.embedding, other.embedding);
-
+			if (d < closestDist) { closestDist = d; closest = other; }
-		const mem = this.unwrap(memories);
-		const buckets = await this.factAgent(conversation, mem, options, getWeekMonday());
-		const touched: Memory[] = [];
-
-		for (const {subject, facts} of buckets) {
-			let node = mem.find(m => m.name === subject);
-			if (!node) {
-				node = {name: subject, description: '', content: '', embedding: [], links: [], backlinks: []};
-				mem.push(node);
-			}
-			this.appendFacts(node, facts);
-			const [e] = await this.llm.embedding(node.content);
-			if (e) node.embedding = e.embedding;
-			this.touch(node.name);
-			touched.push(node);
 		}
+		if (!closest || closestDist > threshold) return null;
 
-		if (touched.length) {
+		const result = await this.mergeAgent(node, closest, options);
-			rebuildGraph(mem);
+		const merged: Memory = {name: result.name, description: this.sanitizeDescription(result.description), content: '', embedding: [], links: [], backlinks: []};
-			this.sync(memories);
+		merged.content = this.touchHeader(merged, result.content);
-			(pending as any).content = `Saved to ${touched.map(n => `[[${n.name}]]`).join(', ')}`;
+		const [e] = await this.llm.embedding(`${merged.description}\n\n${result.content}`.trim());
-			for (const node of touched) this.reconcile(node, memories, options).catch(() => {});
+		if (e) merged.embedding = e.embedding;
-		} else {
-			(pending as any).content = 'Nothing worth remembering.';
-		}
 
-		return touched;
+		this.relink(store.list, node.name, merged.name);
+		this.relink(store.list, closest.name, merged.name);
+
+		this.queues.get(closest.name)?.request?.abort?.();
+		this.queues.delete(closest.name);
+
+		store.forget(node.name);
+		store.forget(closest.name);
+		store.list.push(merged);
+		store.commit();
+
+		return merged;
 	}
 
-	/** Manual/cron entry point. scope 'touched' only reconciles docs with a pending Facts inbox. */
-	async reconcileVault(memories: Memory[] | MemoryCache, options: LLMRequest, scope: 'touched' | 'all' = 'touched'): Promise<void> {
-		const mem = this.unwrap(memories);
-		const targets = scope === 'all' ? mem : mem.filter(m => m.content.includes(FACTS_HEADING));
-		await Promise.all(targets.map(node => this.reconcile(node, memories, options)));
-		this.sync(memories);
-	}
-
-	/**
-	 * Coalescing queue: if a doc is already reconciling, mark it dirty and abort the in-flight
-	 * request. The loop below always re-reads node.content fresh, so nothing is ever dropped.
-	 */
 	private reconcile(node: Memory, memories: Memory[] | MemoryCache, options: LLMRequest): Promise<void> {
 		const key = node.name;
 		const existing = this.queues.get(key);
@@ -388,22 +398,25 @@ export class MemoryManager {
 
 		const entry = {dirty: false, request: null, task: Promise.resolve()};
 		this.queues.set(key, entry);
-		const mem = this.unwrap(memories);
+		const store = this.access(memories);
 		entry.task = (async () => {
+			let current = node;
 			do {
 				entry.dirty = false;
-				await this.reconcileDoc(node, mem, options, entry);
+				await this.docAgent(current, store.list, options, entry);
+				const merged = await this.checkMerge(current, memories, options);
+				if (merged) { current = merged; entry.dirty = true; }
 			} while (entry.dirty);
 		})().finally(() => {
 			this.queues.delete(key);
-			rebuildGraph(mem);
+			store.commit();
-			this.sync(memories);
 		});
 		return entry.task;
 	}
 
-	private async reconcileDoc(node: Memory, memories: Memory[], options: LLMRequest, entry: {request: {abort?: () => void} | null}): Promise<void> {
+	private async docAgent(node: Memory, memories: Memory[], options: LLMRequest, entry: {request: {abort?: () => void} | null}): Promise<void> {
-		const currentBody = this.stripHeader(node.content);
+		if(!memories.includes(node)) return;
+		const currentBody = stripHeader(node.content);
 		let update;
 		try {
 			for (let i = 0; i < 2 && !update?.content; i++) {
@@ -411,27 +424,29 @@ export class MemoryManager {
 					model: options.model,
 					temperature: 0.3,
 					schema: {
-						description: {type: 'string', description: 'One-line description of what this document covers, no formatting or emojis', required: true},
+						description: {type: 'string', description: 'One factual sentence describing the document\'s ENTIRE SUBJECT MATTER — for use as a search/merge fingerprint', required: true},
 						content: {type: 'string', description: 'Rewritten document body in markdown, without the frontmatter block', required: true},
 					},
-					system: `You are a knowledge base editor maintaining one document in an Obsidian-style vault.
+					system: `You are a knowledge base editor maintaining one Obsidian-style document.
 
-If the document has a "${FACTS_HEADING}" section, integrate every bullet under it into the appropriate part of the document, then remove the "${FACTS_HEADING}" section entirely. If there is no such section, just tidy the document per the rules below.
+If it has a "## Pending" section, fold all new material into the appropriate part, resolve overlap, then remove the section entirely. If no section, just tidy per the rules below.
 
-Structure: follow this generic shape loosely, adapting section names/order to what the content actually needs (e.g. journal-style docs may want a timeline instead of "Details"):
+Use this loose structure, adapting headings to what the content needs:
-\`\`\`markdown
-${GENERIC_TEMPLATE}
-\`\`\`
 
-Formatting rules:
+# Title
-- Use Obsidian-style markdown: # headings, **bold** for emphasis, bullet & numbered lists for grouped 1D data, tables for 2D data
+## Summary
-- Link related concepts with [[WikiLink]] notation using full paths like [[People/Sarah]] or [[Projects/Website]]
+## Details
-- Create links for specific entities (person, place, project, program) and abstract concepts, but skip generics (car, red, dog)
+## Related
-- Keep the document concise, factual, and human-readable
-- Resolve contradictions: newer facts always win — delete the outdated statement entirely, never keep both
-- Do not add frontmatter blocks, filler, preamble, or AI commentary
 
-Other nodes in the vault (link to these instead of duplicating their content):
+Rules:
+- Contradictions: newer facts always win — delete outdated statements entirely
+- Journals (Journal/...): keep entries as a chronological timeline; clean up grammar within entries but never delete history
+- Use Obsidian markdown: # headings, **bold**, bullet/numbered lists, tables for 2D data
+- Link specific entities and concepts with [[WikiLink]] (e.g., [[Projects/KiwixServer]]); skip generics
+- Keep concise, factual, human-readable
+- NO frontmatter, filler, preamble, or AI commentary
+
+Available nodes to link to (don't duplicate their content):
 ${this.listNodes(memories).filter(n => n.name !== node.name).map(n => n.name).join(', ') || 'none'}
 
 Current document:
@@ -450,53 +465,180 @@ ${currentBody}
 		}
 
 		if (!update?.content) return;
-		node.description = node.name !== 'People/User' ? update.description : 'All information about the current user';
+		node.description = node.name !== 'People/User' ? this.sanitizeDescription(update.description) : 'All information about the current user';
 		node.content = this.touchHeader(node, update.content);
-		const [e] = await this.llm.embedding(node.content);
+		const [e] = await this.llm.embedding(`${node.description}\n\n${update.content}`.trim());
 		if (e) node.embedding = e.embedding;
 	}
 
-	private async factAgent(conversation: string, memories: Memory[], options: LLMRequest, weekKey: string): Promise<FactBucket[]> {
+	private async mergeAgent(a: Memory, b: Memory, options: LLMRequest): Promise<{name: string, description: string, content: string}> {
-		const buckets = new Map<string, string[]>();
+		return this.llm.ask('', {
-		await this.llm.ask(conversation, {
 			model: options.model,
-			temperature: 0.2,
+			temperature: 0.3,
-			system: `You are a fact extractor. Analyze this conversation and extract facts worth remembering long-term.
+			schema: {
+				name: {type: 'string', description: 'New path for the merged doc, collection/subject format (e.g. Projects/Oxide) — only reuse an old title if it\'s genuinely the best fit', required: true},
+				description: {type: 'string', description: 'One factual sentence describing the merged document\'s subject matter', required: true},
+				content: {type: 'string', description: 'Fully reconciled body in markdown, without frontmatter', required: true},
+			},
+			system: `You are a knowledge base editor merging two overlapping Obsidian documents into one. Newer facts win on contradiction.
 
-Rules:
+Structure loosely:
-- ONLY extract current facts the USER explicitly stated about themselves, their work, or their projects
-- ONLY extract decisions that were MADE during this conversation
-- DO NOT extract anything the AI said, its capabilities, or meta-conversation about the AI
-- DO NOT extract greetings, pleasantries, or generic exchanges
-- DO NOT extract deltas or changes in facts; ONLY the end fact
-- If nothing worth remembering was said, do not call any tools
 
-When extracting facts, you MUST also decide the exact destination path:
+# Title
-- Use an existing node name if the facts clearly belong there
+## Summary
-- All information primarily about the user should go under "People/User"
+## Details
-- When required, create a new path following collection/subject format (e.g., People/Sarah, Projects/Oxide) — you are not limited to any fixed list of collections, use whatever fits
+## Related
-- For journal entries, use "Journal"
 
-Available nodes:
+Combine both documents, resolve duplication and contradictions.
-- Journal
+
-${this.listNodes(memories).filter(n => !n.name.includes('Journal')).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}`,
+Document A ("${a.name}"):
-			tools: [{
+\`\`\`markdown
-				name: 'facts_extract',
+${stripHeader(a.content)}
-				description: 'Submit facts with their destination',
+\`\`\`
-				args: {
+
-					destination: {type: 'string', description: 'Exact existing node name OR new path (e.g. "People/Sarah", "Projects/Oxide")', required: true},
+Document B ("${b.name}"):
-					facts: {type: 'string', description: 'Comma-separated facts', required: true},
+\`\`\`markdown
-				},
+${stripHeader(b.content)}
-				fn: (args: any) => {
+\`\`\``,
-					const subject = args.destination.trim().toLowerCase() === 'journal'
-						? `Journal/${weekKey}` : args.destination.trim();
-					const facts = buckets.get(subject) ?? [];
-					facts.push(...dedupeFacts(String(args.facts).split(',')));
-					buckets.set(subject, facts);
-					return 'Recorded';
-				},
-			}],
 		});
-		return buckets.entries().toArray().map(([subject, facts]) => ({subject, facts}));
+	}
+
+	private parseFrontmatter(content: string): {fm: Map<string, string>, body: string} {
+		const match = content.match(/^---\n([\s\S]*?)\n---\n?([\s\S]*)$/);
+		if (!match) return {fm: new Map(), body: content};
+		const fm = new Map<string, string>();
+		for (const line of match[1].split('\n')) {
+			const i = line.indexOf(':');
+			if (i === -1) continue;
+			const key = line.slice(0, i).trim();
+			const raw = line.slice(i + 1).trim();
+			let value = raw;
+			try { value = JSON.parse(raw); } catch { /* legacy unquoted value, keep raw */ }
+			fm.set(key, value);
+		}
+		return {fm, body: match[2]};
+	}
+
+	private touchHeader(node: Memory, body: string): string {
+		const {fm} = this.parseFrontmatter(node.content);
+		fm.set('name', node.name);
+		fm.set('description', node.description || '');
+		fm.set('modified', new Date().toISOString());
+		return this.writeFrontmatter(fm, body);
+	}
+
+	private writeFrontmatter(fm: Map<string, string>, body: string): string {
+		const lines = [...fm.entries()].map(([k, v]) => `${k}: ${JSON.stringify(String(v).replace(/\s+/g, ' ').trim())}`);
+		return `---\n${lines.join('\n')}\n---\n\n${body.trimStart()}`;
+	}
+
+	decay() {
+		for (const [name, ttl] of this.recentlyTouched) {
+			if (ttl <= 1) this.recentlyTouched.delete(name);
+			else this.recentlyTouched.set(name, ttl - 1);
+		}
+	}
+
+	touch(name: string, ttl = 2) {
+		this.recentlyTouched.set(name, ttl);
+	}
+
+	forget(name: string, memories: Memory[] | MemoryCache): boolean {
+		return this.access(memories).forget(name);
+	}
+
+	async recollect(query: string, memories: Memory[] | MemoryCache, limit = 5, graphDepth = 1): Promise<Memory[]> {
+		const store = this.access(memories);
+		if (!store.list.length) return [];
+
+		await store.backfillEmbeddings(this.llm);
+
+		const [e] = await this.llm.embedding(query);
+		if (!e) return [];
+
+		const vectorResults = store.search(e.embedding, limit);
+		const found = new Set<string>(vectorResults.map(r => r.name));
+
+		if (graphDepth > 0) {
+			let frontier = [...found];
+			for (let depth = 0; depth < graphDepth && frontier.length; depth++) {
+				const next: string[] = [];
+				for (const name of frontier) {
+					const node = store.find(name);
+					if (!node) continue;
+					for (const link of node.links) {
+						if (!found.has(link) && store.find(link)) {
+							found.add(link);
+							next.push(link);
+						}
+					}
+				}
+				frontier = next;
+			}
+		}
+
+		const vectorOrder = vectorResults.map(r => r.name);
+		const graphExpansions = [...found].filter(n => !vectorOrder.includes(n));
+		return [...vectorOrder, ...graphExpansions].map(n => store.find(n)!).filter(Boolean);
+	}
+
+	async memorize(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest): Promise<Memory[]> {
+		const conversation = history
+			.filter(h => h.role === 'user' || h.role === 'assistant')
+			.map(h => `[${h.role}]: ${h.content}`).join('\n\n').trim();
+		if (!conversation) return [];
+
+		const uid = `${Date.now()}_${Math.random().toString(36).slice(2)}`;
+		const pending = {role: 'tool', name: 'memory_process', id: uid, content: conversation} as unknown as LLMMessage;
+		history.push(pending);
+
+		const store = this.access(memories);
+		const {buckets, journal} = await this.factAgent(conversation, store, options);
+		const touched: Memory[] = [];
+
+		if (journal) {
+			const journalName = `Journal/${this.getWeekMonday()}`;
+			let jnode = store.find(journalName);
+			if (!jnode) {
+				jnode = {name: journalName, description: '', content: '', embedding: [], links: [], backlinks: []};
+				store.list.push(jnode);
+			}
+			this.stage(jnode, `### ${new Date().toISOString().slice(0, 10)}\n${journal}`);
+			touched.push(jnode);
+		}
+
+		for (const {subject, facts} of buckets) {
+			let node = store.find(subject);
+			if (!node) {
+				node = {name: subject, description: '', content: '', embedding: [], links: [], backlinks: []};
+				store.list.push(node);
+			}
+			this.stage(node, facts.map(f => `- ${f}`).join('\n'));
+			touched.push(node);
+		}
+
+		for (const node of touched) {
+			const [e] = await this.llm.embedding(`${node.description}\n\n${stripHeader(node.content)}`.trim());
+			if (e) node.embedding = e.embedding;
+			this.touch(node.name);
+		}
+
+		if (touched.length) {
+			store.commit();
+			(pending as any).content = `Saved to ${touched.map(n => `[[${n.name}]]`).join(', ')}`;
+			await Promise.all(touched.map(node => this.reconcile(node, memories, options).catch(() => {})));
+		} else {
+			(pending as any).content = 'Nothing worth remembering.';
+		}
+
+		(touched as any).uid = uid;
+		return touched;
+	}
+
+	async reconcileAll(memories: Memory[] | MemoryCache, options: LLMRequest, scope: 'touched' | 'all' = 'touched'): Promise<void> {
+		const store = this.access(memories);
+		const targets = scope === 'all' ? store.list : store.list.filter(m => m.content.includes(PENDING_HEADING));
+		await Promise.all(targets.map(node => this.reconcile(node, memories, options)));
+		store.commit();
 	}
 }

src/open-ai.ts

@@ -25,6 +25,13 @@ export class OpenAi extends LLMProvider {
 		return client;
 	}
 
+	private toWireContent(content: any): any {
+		if(!Array.isArray(content)) return content;
+		return content.map(c => c.type === 'image'
+			? {type: 'image_url', image_url: {url: `data:${c.mime};base64,${c.data}`}}
+			: {type: 'text', text: c.text});
+	}
+
 	/** Convert standard history -> OpenAI wire format */
 	private toWire(history: LLMMessage[], system?: string): any[] {
 		const wire: any[] = [];
@@ -41,7 +48,7 @@ export class OpenAi extends LLMProvider {
 					content: h.error || h.content || '',
 				});
 			} else {
-				wire.push({role: h.role, content: h.content});
+				wire.push({role: h.role, content: this.toWireContent(h.content)});
 			}
 		}
 		return wire;
@@ -58,7 +65,7 @@ export class OpenAi extends LLMProvider {
 			const requestParams: any = {
 				model: options.model || this.model,
 				stream: !!options.stream,
-				max_completion_tokens: options.max_tokens || this.ai.options.llm?.max_tokens || undefined,
+				max_completion_tokens: options.maxTokens || this.ai.options.llm?.maxTokens || undefined,
 				temperature: options.temperature || this.ai.options.llm?.temperature || undefined,
 				tools: tools.map(t => ({
 					type: 'function',

tests/llm.spec.ts

@@ -1,167 +0,0 @@
-
-import {describe, it, expect, vi, beforeEach} from 'vitest';
-import LLM from '../src/llm';
-
-const {FakeProvider, providerLog} = vi.hoisted(() => {
-	const providerLog: any[] = [];
-	class FakeProvider {
-		model: string;
-		constructor(...args: any[]) { this.model = args[args.length - 1]; }
-		ask(message: string, opts: any) {
-			let aborted = false;
-			const p = (async () => {
-				const script = (globalThis as any).__scripts?.[this.model];
-				const plan = script ? script(message, opts) : {text: ''};
-				providerLog.push({model: this.model, message, system: opts.system, tools: (opts.tools || []).map((t: any) => t.name)});
-				for (const c of plan.calls || []) {
-					if (aborted) break;
-					const tool = (opts.tools || []).find((t: any) => t.name === c.tool);
-					const id = c.id || `${c.tool}_${Math.random()}`;
-					const content = await tool.fn(c.args, opts.stream, null, id);
-					opts.history.push({role: 'tool', id, name: c.tool, args: c.args, content, timestamp: Date.now()});
-				}
-				const text = plan.text ?? '';
-				if (opts.stream && text) opts.stream({text, done: true});
-				opts.history.push({role: 'assistant', content: text, timestamp: Date.now(), duration: 10, tps: 5});
-				return text;
-			})();
-			return Object.assign(p, {abort: () => { aborted = true; }});
-		}
-	}
-	return {FakeProvider, providerLog};
-});
-
-vi.mock('../src/antrhopic.ts', () => ({Anthropic: FakeProvider}));
-vi.mock('../src/open-ai.ts', () => ({OpenAi: FakeProvider}));
-
-function makeAi(models: any) {
-	return {options: {llm: {models}}} as any;
-}
-
-beforeEach(() => {
-	providerLog.length = 0;
-	(globalThis as any).__scripts = {};
-});
-
-describe('LLM cross-provider interchangeability', () => {
-	it('runs identical tool calls the same way on an anthropic-backed model and an openai-backed model', async () => {
-		const ai = makeAi({
-			claude: {proto: 'anthropic', token: 'x'},
-			gpt: {proto: 'openai', token: 'y', host: 'http://local'},
-		});
-		const llm = new LLM(ai);
-		const calc = {
-			name: 'calc_add',
-			description: 'Add two numbers',
-			args: {a: {type: 'number', required: true}, b: {type: 'number', required: true}},
-			fn: (args: any) => String(args.a + args.b),
-		};
-
-		(globalThis as any).__scripts.claude = () => ({calls: [{tool: 'calc_add', args: {a: 2, b: 3}}], text: 'Result: 5'});
-		(globalThis as any).__scripts.gpt = () => ({calls: [{tool: 'calc_add', args: {a: 2, b: 3}}], text: 'Result: 5'});
-
-		const historyA: any[] = [], historyB: any[] = [];
-		const respA = await llm.ask('add 2 and 3', {model: 'claude', tools: [calc], history: historyA});
-		const respB = await llm.ask('add 2 and 3', {model: 'gpt', tools: [calc], history: historyB});
-
-		expect(respA).toBe('Result: 5');
-		expect(respB).toBe('Result: 5');
-		expect(providerLog.find(l => l.model === 'claude')!.tools).toContain('calc_add');
-		expect(providerLog.find(l => l.model === 'gpt')!.tools).toContain('calc_add');
-
-		// tool timing gets recomputed from real execution regardless of proto
-		for (const h of [historyA.find(h => h.name === 'calc_add'), historyB.find(h => h.name === 'calc_add')]) {
-			expect(h.content).toBe('5');
-			expect(typeof h.duration).toBe('number');
-			expect(typeof h.tps).toBe('number');
-		}
-	});
-
-	it('lets the same shared history flow across model + proto swaps with different system prompts', async () => {
-		const ai = makeAi({
-			claude: {proto: 'anthropic', token: 'x'},
-			gpt: {proto: 'openai', token: 'y', host: 'http://local'},
-		});
-		const llm = new LLM(ai);
-		const history: any[] = [];
-
-		(globalThis as any).__scripts.claude = () => ({text: 'Hi from claude'});
-		(globalThis as any).__scripts.gpt = () => ({text: 'Hi from gpt'});
-
-		const r1 = await llm.ask('hello', {model: 'claude', system: 'You are terse.', history});
-		const r2 = await llm.ask('follow up', {model: 'gpt', system: 'You are verbose.', history});
-
-		expect(r1).toBe('Hi from claude');
-		expect(r2).toBe('Hi from gpt');
-		expect(history.filter(h => h.role === 'assistant').map(h => h.content)).toEqual(['Hi from claude', 'Hi from gpt']);
-		expect(providerLog[0].system).toContain('You are terse.');
-		expect(providerLog[1].system).toContain('You are verbose.');
-	});
-
-	it('exposes MCP tools the same way no matter which proto backs the model', async () => {
-		const ai = makeAi({claude: {proto: 'anthropic', token: 'x'}, gpt: {proto: 'openai', token: 'y', host: 'http://local'}});
-		const llm = new LLM(ai);
-		const mcp = [{name: 'weather', host: 'http://mcp.local'}];
-
-		global.fetch = vi.fn(async (url: string, opts?: any) => {
-			if (url.endsWith('/tools')) {
-				return {json: async () => ({tools: [{name: 'lookup', description: 'Look up weather', inputSchema: {properties: {city: {type: 'string'}}, required: ['city']}}]})} as any;
-			}
-			const body = JSON.parse(opts.body);
-			return {json: async () => ({content: [{text: `Sunny in ${body.arguments.city}`}]})} as any;
-		}) as any;
-
-		for (const model of ['claude', 'gpt']) {
-			(globalThis as any).__scripts[model] = () => ({calls: [{tool: 'weather_lookup', args: {city: 'Rome'}}], text: 'done'});
-			const history: any[] = [];
-			await llm.ask('weather?', {model, mcp, history});
-			expect(history.find(h => h.name === 'weather_lookup')?.content).toBe('Sunny in Rome');
-		}
-	});
-
-	it('exposes and resolves skill documents identically across protos', async () => {
-		const ai = makeAi({claude: {proto: 'anthropic', token: 'x'}, gpt: {proto: 'openai', token: 'y', host: 'http://local'}});
-		const llm = new LLM(ai);
-		const skills = [{name: 'Onboarding', description: 'How to onboard a user', content: 'Step 1...'}];
-
-		for (const model of ['claude', 'gpt']) {
-			(globalThis as any).__scripts[model] = () => ({calls: [{tool: 'skill_read', args: {name: 'Onboarding'}}], text: 'done'});
-			const history: any[] = [];
-			await llm.ask('onboard me', {model, skills, history});
-			expect(history.find(h => h.name === 'skill_read')?.content).toContain('Step 1...');
-		}
-	});
-
-	it('delegate agent mutates the shared history directly and backfills the orchestrator response, across protos', async () => {
-		const ai = makeAi({claude: {proto: 'anthropic', token: 'x'}, gpt: {proto: 'openai', token: 'y', host: 'http://local'}});
-		const llm = new LLM(ai);
-		const history: any[] = [{role: 'user', content: 'research quantum computing'}];
-		const researcher = {name: 'researcher', system: 'You research topics.', delegate: true, model: 'gpt'};
-
-		(globalThis as any).__scripts.claude = () => ({calls: [{tool: 'agent_researcher', args: {}}], text: ''});
-		(globalThis as any).__scripts.gpt = () => ({text: 'Quantum computers use qubits.'});
-
-		const resp = await llm.ask('go', {model: 'claude', agents: [researcher], history});
-
-		expect(resp).toBe('Quantum computers use qubits.');
-		expect(history.some(h => h.role === 'assistant' && h.content === 'Quantum computers use qubits.')).toBe(true);
-		expect(history.find(h => h.name === 'agent_researcher')?.content).toBe('');
-	});
-
-	it('regular (non-delegate) subagent keeps its own isolated history separate from the parent, across protos', async () => {
-		const ai = makeAi({claude: {proto: 'anthropic', token: 'x'}, gpt: {proto: 'openai', token: 'y', host: 'http://local'}});
-		const llm = new LLM(ai);
-		const history: any[] = [];
-		const summarizer = {name: 'summarizer', system: 'You summarize text.', model: 'gpt'};
-
-		(globalThis as any).__scripts.claude = () => ({calls: [{tool: 'subagent_summarizer', args: {context: 'a long article', instructions: 'summarize it'}}], text: 'Summary: short version'});
-		(globalThis as any).__scripts.gpt = () => ({text: 'short version'});
-
-		const resp = await llm.ask('summarize this', {model: 'claude', agents: [summarizer], history});
-
-		expect(resp).toBe('Summary: short version');
-		expect(history.find(h => h.name === 'subagent_summarizer')?.content).toBe('short version');
-		// isolated history - subagent's own assistant turn never leaks into the parent
-		expect(history.some(h => h.role === 'assistant' && h.content === 'short version')).toBe(false);
-	});
-});

tests/memory.spec.ts

@@ -1,256 +0,0 @@
-import {describe, it, expect, vi, beforeEach} from 'vitest';
-import {MemoryManager, MemoryCache, rebuildGraph, Memory} from '../src/memory';
-
-function makeMemory(overrides: Partial<Memory> = {}): Memory {
-	return {
-		name: 'Test/Doc',
-		description: '',
-		content: '',
-		embedding: [],
-		links: [],
-		backlinks: [],
-		...overrides,
-	};
-}
-
-function makeLLM() {
-	return {
-		embedding: vi.fn(async (_text: string) => [{embedding: [1, 0, 0]}]),
-		ask: vi.fn(async () => undefined),
-	};
-}
-
-describe('rebuildGraph', () => {
-	it('extracts [[WikiLinks]] from content, excluding self-links', () => {
-		const a = makeMemory({name: 'A', content: '[[B]] and [[A]] and [[C]]'});
-		const b = makeMemory({name: 'B', content: 'no links here'});
-		const mem = [a, b];
-
-		rebuildGraph(mem);
-
-		expect(a.links).toEqual(['B', 'C']);
-		expect(b.links).toEqual([]);
-	});
-
-	it('computes backlinks only for links that resolve to a real node', () => {
-		const a = makeMemory({name: 'A', content: '[[B]] [[Missing]]'});
-		const b = makeMemory({name: 'B', content: ''});
-		const mem = [a, b];
-
-		rebuildGraph(mem);
-
-		expect(b.backlinks).toEqual(['A']);
-		expect(mem.find(m => m.name === 'Missing')).toBeUndefined();
-	});
-
-	it('resets stale backlinks on every rebuild (no leftover from a removed link)', () => {
-		const a = makeMemory({name: 'A', content: '[[B]]'});
-		const b = makeMemory({name: 'B', content: ''});
-		const mem = [a, b];
-		rebuildGraph(mem);
-		expect(b.backlinks).toEqual(['A']);
-
-		a.content = 'no more links';
-		rebuildGraph(mem);
-		expect(b.backlinks).toEqual([]);
-	});
-});
-
-describe('MemoryCache', () => {
-	it('finds nearest neighbor by embedding via KD-tree search', () => {
-		const close = makeMemory({name: 'Close', embedding: [1, 0, 0]});
-		const far = makeMemory({name: 'Far', embedding: [0, 0, 1]});
-		const cache = new MemoryCache([close, far]);
-
-		const results = cache.search([1, 0, 0], 1);
-
-		expect(results[0].name).toBe('Close');
-	});
-
-	it('rebuilds the tree on add/update/remove', () => {
-		const cache = new MemoryCache([makeMemory({name: 'A', embedding: [1, 0, 0]})]);
-		cache.add(makeMemory({name: 'B', embedding: [0, 1, 0]}));
-		expect(cache.search([0, 1, 0], 1)[0].name).toBe('B');
-
-		cache.remove('B');
-		expect(cache.search([0, 1, 0], 1)[0]?.name).not.toBe('B');
-	});
-});
-
-describe('MemoryManager.forget', () => {
-	it('removes the node and recomputes backlinks for the rest of the graph', () => {
-		const llm = makeLLM();
-		const mgr = new MemoryManager(llm);
-		const a = makeMemory({name: 'A', content: '[[B]]'});
-		const b = makeMemory({name: 'B', content: '[[C]]'});
-		const c = makeMemory({name: 'C', content: ''});
-		const mem = [a, b, c];
-		rebuildGraph(mem);
-		expect(c.backlinks).toEqual(['B']);
-
-		const ok = mgr.forget('B', mem);
-
-		expect(ok).toBe(true);
-		expect(mem.find(m => m.name === 'B')).toBeUndefined();
-		expect(a.links).toEqual(['B']);
-		expect(c.backlinks).toEqual([]);
-	});
-
-	it('returns false for an unknown name', () => {
-		const mgr = new MemoryManager(makeLLM());
-		expect(mgr.forget('Nope', [makeMemory({name: 'A'})])).toBe(false);
-	});
-});
-
-describe('MemoryManager.recollect', () => {
-	it('orders vector matches first, then expands one hop via links', async () => {
-		const llm = makeLLM();
-		llm.embedding.mockResolvedValue([{embedding: [1, 0, 0]}]);
-		const mgr = new MemoryManager(llm);
-
-		const near = makeMemory({name: 'Near', embedding: [1, 0, 0], content: '[[Linked]]'});
-		const linked = makeMemory({name: 'Linked', embedding: [0, 0, 1], content: ''});
-		const far = makeMemory({name: 'Far', embedding: [0, 1, 0], content: ''});
-		const mem = [near, linked, far];
-		rebuildGraph(mem);
-
-		const result = await mgr.recollect('query', mem, 1, 1);
-
-		expect(result.map(r => r.name)).toEqual(['Near', 'Linked']);
-	});
-
-	it('returns [] when there are no memories', async () => {
-		const mgr = new MemoryManager(makeLLM());
-		expect(await mgr.recollect('q', [])).toEqual([]);
-	});
-});
-
-describe('MemoryManager.memorize (fast path)', () => {
-	let llm: ReturnType<typeof makeLLM>;
-	let mgr: MemoryManager;
-
-	beforeEach(() => {
-		llm = makeLLM();
-		mgr = new MemoryManager(llm);
-	});
-
-	it('pushes a pending tool message, then resolves it to links once facts land', async () => {
-		llm.ask.mockImplementation(async (_prompt: string, opts: any) => {
-			if (opts.tools) {
-				opts.tools[0].fn({destination: 'Projects/Oxide', facts: 'Uses a hybrid memory system'});
-				return undefined;
-			}
-			return {description: 'd', content: '# doc'};
-		});
-
-		const history: any[] = [{role: 'user', content: 'we use a hybrid memory system'}];
-		const touched = await mgr.memorize(history, [], {model: 'test'} as any);
-
-		const pending = history.find(h => h.name === 'memory_process');
-		expect(pending).toBeDefined();
-		expect(pending.content).toContain('[[Projects/Oxide]]');
-		expect(touched.map(t => t.name)).toEqual(['Projects/Oxide']);
-	});
-
-	it('creates a new node and appends facts under "## Facts" without calling the doc LLM', async () => {
-		llm.ask.mockImplementation(async (_prompt: string, opts: any) => {
-			if (opts.tools) opts.tools[0].fn({destination: 'People/Sarah', facts: 'Works at Acme, Likes hiking'});
-			return undefined;
-		});
-
-		const mem: Memory[] = [];
-		await mgr.memorize([{role: 'user', content: 'Sarah works at Acme and likes hiking'}] as any, mem, {model: 'test'} as any);
-
-		const node = mem.find(m => m.name === 'People/Sarah')!;
-		expect(node).toBeDefined();
-		expect(node.content).toContain('## Facts');
-		expect(node.content).toContain('- Works at Acme');
-		expect(node.content).toContain('- Likes hiking');
-		// doc reconciler LLM (schema call) should NOT have been awaited synchronously in this fast path assertion
-	});
-
-	it('routes "journal" destination to Journal/{weekMonday}', async () => {
-		llm.ask.mockImplementation(async (_prompt: string, opts: any) => {
-			if (opts.tools) opts.tools[0].fn({destination: 'journal', facts: 'Shipped v1'});
-			return undefined;
-		});
-
-		const mem: Memory[] = [];
-		const touched = await mgr.memorize([{role: 'user', content: 'shipped v1 today'}] as any, mem, {model: 'test'} as any);
-
-		expect(touched[0].name).toMatch(/^Journal\/\d{4}-\d{2}-\d{2}$/);
-	});
-
-	it('reports nothing to remember when no facts are extracted', async () => {
-		llm.ask.mockResolvedValue(undefined); // tools present but fn never called
-
-		const history: any[] = [{role: 'user', content: 'hey'}];
-		const touched = await mgr.memorize(history, [], {model: 'test'} as any);
-
-		expect(touched).toEqual([]);
-		expect(history.find(h => h.name === 'memory_process').content).toBe('Nothing worth remembering.');
-	});
-
-	it('returns [] and does nothing for an empty conversation', async () => {
-		const touched = await mgr.memorize([], [], {model: 'test'} as any);
-		expect(touched).toEqual([]);
-		expect(llm.ask).not.toHaveBeenCalled();
-	});
-});
-
-describe('MemoryManager reconcileVault', () => {
-	it('integrates the "## Facts" section via the doc LLM and removes it', async () => {
-		const llm = makeLLM();
-		llm.ask.mockResolvedValue({description: 'Tidy summary', content: '# Doc\n\nIntegrated fact.'});
-		const mgr = new MemoryManager(llm);
-
-		const node = makeMemory({
-			name: 'Projects/Oxide',
-			content: '---\nname: Projects/Oxide\n---\n\n# Doc\n\n## Facts\n- some raw fact\n',
-		});
-		const mem = [node];
-
-		await mgr.reconcileVault(mem, {model: 'test'} as any, 'all');
-
-		expect(node.content).not.toContain('## Facts');
-		expect(node.content).toContain('Integrated fact.');
-		expect(node.description).toBe('Tidy summary');
-	});
-
-	it('only targets docs with a pending Facts inbox when scope is "touched"', async () => {
-		const llm = makeLLM();
-		llm.ask.mockResolvedValue({description: 'd', content: '# clean'});
-		const mgr = new MemoryManager(llm);
-
-		const dirty = makeMemory({name: 'A', content: '## Facts\n- x'});
-		const clean = makeMemory({name: 'B', content: '# already tidy'});
-		await mgr.reconcileVault([dirty, clean], {model: 'test'} as any, 'touched');
-
-		expect(dirty.content).toContain('# clean'); // rewritten (frontmatter now wraps it)
-		expect(clean.content).toBe('# already tidy'); // untouched, never queued
-	});
-});
-
-describe('MemoryManager reconcile coalescing', () => {
-	it('coalesces a second call while one is in-flight: marks dirty, aborts, reuses the same task promise', () => {
-		const llm = makeLLM();
-		const abort = vi.fn();
-		let calls = 0;
-		llm.ask.mockImplementation(() => {
-			calls++;
-			const pending: any = new Promise(() => {}); // never resolves in this test
-			pending.abort = abort;
-			return pending;
-		});
-		const mgr: any = new MemoryManager(llm);
-		const node = makeMemory({name: 'Q', content: '# Q\n\n## Facts\n- f'});
-		const mem = [node];
-
-		const p1 = mgr.reconcile(node, mem, {model: 'test'});
-		const p2 = mgr.reconcile(node, mem, {model: 'test'});
-
-		expect(p2).toBe(p1); // same in-flight task, not a new queue entry
-		expect(abort).toHaveBeenCalledTimes(1); // second call aborted the in-flight request
-		expect(calls).toBe(1); // no second ask() fired synchronously — it'll rerun via the dirty loop
-	});
-});