Improved levenshtein fuzzy match

Tools can now emit "done" event and end chat early gracefully
Fixed history poisoning on empty tool response
2026-08-01 12:00:26 -04:00 · 2026-07-31 17:49:06 -04:00 · 2026-07-30 22:12:49 -04:00 · 2026-07-30 16:00:03 -04:00 · 2026-07-29 22:35:29 -04:00 · 2026-07-29 22:34:51 -04:00
11 changed files with 1265 additions and 637 deletions
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,12 +1,12 @@
 {
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 	"packages": {
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+			"version": "1.2.6",
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 			"dependencies": {
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@@ -57,34 +57,38 @@
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 			"license": "MIT",
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@@ -573,6 +577,16 @@
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+			"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.3.tgz",
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@@ -681,22 +695,25 @@
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 				"type": "github",
 				"url": "https://github.com/sponsors/Brooooooklyn"
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@@ -1007,6 +1024,18 @@
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@@ -1018,6 +1047,17 @@
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@@ -1408,18 +1448,18 @@
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@@ -1504,9 +1544,9 @@
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@@ -2382,9 +2422,9 @@
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 		},
 		"node_modules/lightningcss-linux-x64-musl": {
-			"version": "1.32.0",
-			"resolved": "https://registry.npmjs.org/lightningcss-linux-x64-musl/-/lightningcss-linux-x64-musl-1.32.0.tgz",
-			"integrity": "sha512-bYcLp+Vb0awsiXg/80uCRezCYHNg1/l3mt0gzHnWV9XP1W5sKa5/TCdGWaR/zBM2PeF/HbsQv/j2URNOiVuxWg==",
+			"version": "1.33.0",
+			"resolved": "https://registry.npmjs.org/lightningcss-linux-x64-musl/-/lightningcss-linux-x64-musl-1.33.0.tgz",
+			"integrity": "sha512-RYiYbkokw0trfKqqzfF55lginwEPrD3OJDfTuJzFs1MK6iFnDenaz1fqLLtX4ITG3OktJQXOeTaw1awrBAlZPw==",
 			"cpu": [
 				"x64"
 			],
@@ -2613,9 +2653,9 @@
 			}
 		},
 		"node_modules/lightningcss-win32-arm64-msvc": {
-			"version": "1.32.0",
-			"resolved": "https://registry.npmjs.org/lightningcss-win32-arm64-msvc/-/lightningcss-win32-arm64-msvc-1.32.0.tgz",
-			"integrity": "sha512-8SbC8BR40pS6baCM8sbtYDSwEVQd4JlFTOlaD3gWGHfThTcABnNDBda6eTZeqbofalIJhFx0qKzgHJmcPTnGdw==",
+			"version": "1.33.0",
+			"resolved": "https://registry.npmjs.org/lightningcss-win32-arm64-msvc/-/lightningcss-win32-arm64-msvc-1.33.0.tgz",
+			"integrity": "sha512-1K+MPfLSFVpphzpdbfkhlWk6wBrTObBzS2T6db10PNOZgR9GoVsAWzwNyuhUYYbTp23j+4RrncfujZ4uAzXvwA==",
 			"cpu": [
 				"arm64"
 			],
@@ -2634,9 +2674,9 @@
 			}
 		},
 		"node_modules/lightningcss-win32-x64-msvc": {
-			"version": "1.32.0",
-			"resolved": "https://registry.npmjs.org/lightningcss-win32-x64-msvc/-/lightningcss-win32-x64-msvc-1.32.0.tgz",
-			"integrity": "sha512-Amq9B/SoZYdDi1kFrojnoqPLxYhQ4Wo5XiL8EVJrVsB8ARoC1PWW6VGtT0WKCemjy8aC+louJnjS7U18x3b06Q==",
+			"version": "1.33.0",
+			"resolved": "https://registry.npmjs.org/lightningcss-win32-x64-msvc/-/lightningcss-win32-x64-msvc-1.33.0.tgz",
+			"integrity": "sha512-OlEICDx/Xl0FqSp4bry8zFnCvGpig3Gl4gCquvYwHuqJKEC1+n9NgDniFvqHGmMv1ZkqDJrDqKKSykTDX+ehuA==",
 			"cpu": [
 				"x64"
 			],
@@ -2794,9 +2834,9 @@
 			}
 		},
 		"node_modules/mdurl": {
-			"version": "2.0.0",
-			"resolved": "https://registry.npmjs.org/mdurl/-/mdurl-2.0.0.tgz",
-			"integrity": "sha512-Lf+9+2r+Tdp5wXDXC4PcIBjTDtq4UKjCPMQhKIuzpJNW0b96kVqSwW0bT7FhRSfmAiFYgP+SCRvdrDozfh0U5w==",
+			"version": "2.1.0",
+			"resolved": "https://registry.npmjs.org/mdurl/-/mdurl-2.1.0.tgz",
+			"integrity": "sha512-1+HBaOx0zi/dQWht8rNv9MYf9qqpqL/kxI0hXImU6Y547zM6Sni8BQibt7ifgMcYtQg41ao3Ivd6cnSM86inpg==",
 			"dev": true,
 			"license": "MIT"
 		},
@@ -2971,9 +3011,9 @@
 			"license": "MIT"
 		},
 		"node_modules/nanoid": {
-			"version": "3.3.15",
-			"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.15.tgz",
-			"integrity": "sha512-y7Wygv/7mEOvxTuEQDB8StXdMRBWf1kR/tlhAzBRUFkB2jfcLOAxO/SHmOO2zgz1pVgK29/kyupn059/bCHdjA==",
+			"version": "3.3.16",
+			"resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.16.tgz",
+			"integrity": "sha512-bzlKTyNJ7+LdGIIwy8ijFpIqEQIvafahV7eYykJ8Cvh42EdJeODoJ6gUJXpQJvej1BddH8OqTXZNE/KfbWAu8Q==",
 			"dev": true,
 			"funding": [
 				{
@@ -3092,9 +3132,9 @@
 			"license": "MIT"
 		},
 		"node_modules/openai": {
-			"version": "6.46.0",
-			"resolved": "https://registry.npmjs.org/openai/-/openai-6.46.0.tgz",
-			"integrity": "sha512-DFg6jEPT2RO+oAyXtddeUJU8zkGy1OQ1AjGzNIJUMQG03TTqvCpy9tBpQ+2VVVnvrl3E56F8GEin2JYtWpITtA==",
+			"version": "6.49.0",
+			"resolved": "https://registry.npmjs.org/openai/-/openai-6.49.0.tgz",
+			"integrity": "sha512-aYCc0C6L864eR6WSYIwQGyXriw/nIyZx0ObvhzOEVuk0zoBDpynjSbrionWI7q65B5H8jJX0DXR9snEzM6bfPg==",
 			"license": "Apache-2.0",
 			"peerDependencies": {
 				"@aws-sdk/credential-provider-node": ">=3.972.0 <4",
@@ -3232,9 +3272,9 @@
 			"license": "MIT"
 		},
 		"node_modules/postcss": {
-			"version": "8.5.17",
-			"resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.17.tgz",
-			"integrity": "sha512-J7EF+8X+CzRPaJPOv9Ck2wNWJvGnnl3PcNPAdGg6GTLjyVpyQ0yATMSXRFRV01BviT/9Gwuc3rjEyJbDJG9a4w==",
+			"version": "8.5.25",
+			"resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.25.tgz",
+			"integrity": "sha512-DTPx3RWSSnWyzLxQnlH0rJP+EW5ekl16ZU4/psbIhA0e53kJfdgaN5vKM+xP7yJtXVu+nfdVFmlgFDEKAe4Pyw==",
 			"dev": true,
 			"funding": [
 				{
@@ -3252,7 +3292,7 @@
 			],
 			"license": "MIT",
 			"dependencies": {
-				"nanoid": "^3.3.12",
+				"nanoid": "^3.3.16",
 				"picocolors": "^1.1.1",
 				"source-map-js": "^1.2.1"
 			},
@@ -3787,9 +3827,9 @@
 			"license": "MIT"
 		},
 		"node_modules/undici": {
-			"version": "7.28.0",
-			"resolved": "https://registry.npmjs.org/undici/-/undici-7.28.0.tgz",
-			"integrity": "sha512-cRZYrTDwWznlnRiPjggAGxZXanty6M8RV1ff8Wm4LWXBp7/IG8v5DnOm74DtUBp9OONpK75YlPnIjQqX0dBDtA==",
+			"version": "7.29.0",
+			"resolved": "https://registry.npmjs.org/undici/-/undici-7.29.0.tgz",
+			"integrity": "sha512-IDxfleLmmbSskfWSUATiN1nfn2rDuvnMOqb5CWR92iIfojA0Ud+ulOAAEQ57LPr9rWmsreUyf5lwyao+7GNNVw==",
 			"license": "MIT",
 			"engines": {
 				"node": ">=20.18.1"
@@ -3981,16 +4021,16 @@
 			}
 		},
 		"node_modules/vite": {
-			"version": "8.1.4",
-			"resolved": "https://registry.npmjs.org/vite/-/vite-8.1.4.tgz",
-			"integrity": "sha512-bTT9PsdWO+MQMNG9ZXIP/qM9wGh37DFxTV/sPq9cFpHr3w4jkgef032PkAL9jAqhk3Nz8NQw3O8n6/xFkqO4QQ==",
+			"version": "8.1.5",
+			"resolved": "https://registry.npmjs.org/vite/-/vite-8.1.5.tgz",
+			"integrity": "sha512-7ULLwsCdYx/nRyrpiEwvqb5TFHrMVZyBt+rg/OAXT7rgj/z+DtTDyKFeLAdDkubDVDKD8jOsndmy7m55XcfUsw==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
 				"lightningcss": "^1.32.0",
 				"picomatch": "^4.0.5",
-				"postcss": "^8.5.16",
-				"rolldown": "~1.1.4",
+				"postcss": "^8.5.17",
+				"rolldown": "~1.1.5",
 				"tinyglobby": "^0.2.17"
 			},
 			"bin": {
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "1.2.3",
+	"version": "1.2.13",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",
--- a/src/antrhopic.ts
+++ b/src/antrhopic.ts
@@ -21,10 +21,10 @@ export class Anthropic extends LLMProvider {
 				messages.push(<any>{timestamp, ...h});
 			} else {
 				const textContent = h.content?.filter((c: any) => c.type == 'text').map((c: any) => c.text).join('\n\n');
-				if(textContent) messages.push({timestamp, role: h.role, content: textContent});
+				if(textContent) messages.push({role: h.role, content: textContent, timestamp: timestamp});
 				h.content.forEach((c: any) => {
 					if(c.type == 'tool_use') {
-						messages.push({timestamp, role: 'tool', id: c.id, name: c.name, args: c.input, content: undefined});
+						messages.push({role: 'tool', id: c.id, name: c.name, args: c.input, timestamp: c.timestamp, content: undefined});
 					} else if(c.type == 'tool_result') {
 						const m: any = messages.findLast(m => (<any>m).id == c.tool_use_id);
 						if(m) m[c.is_error ? 'error' : 'content'] = c.content;
@@ -46,7 +46,7 @@ export class Anthropic extends LLMProvider {
 				i++;
 			}
 		}
-		return history.map(({timestamp, ...h}) => h);
+		return history;
 	}

 	ask(message: string, options: LLMRequest = {}): AbortablePromise<string | any> {
@@ -83,8 +83,9 @@ export class Anthropic extends LLMProvider {
 				};
 			}

-			let resp: any, isFirstMessage = true;
+			let resp: any, isFirstMessage = true, terminal = false;
 			do {
+				requestParams.messages = history.map(({timestamp, ...m}) => m);
 				resp = await this.client.messages.create(requestParams).catch(err => {
 					err.message += `\n\nMessages:\n${JSON.stringify(history, null, 2)}`;
 					throw err;
@@ -113,7 +114,7 @@ export class Anthropic extends LLMProvider {
 							}
 						} else if(chunk.type === 'content_block_stop') {
 							const last = resp.content.at(-1);
-							if(last.input != null) last.input = last.input ? JSONAttemptParse(last.input, {}) : {};
+							if(last?.input != null) last.input = last.input ? JSONAttemptParse(last.input, {}) : {};
 						} else if(chunk.type === 'message_stop') {
 							break;
 						}
@@ -123,31 +124,35 @@ export class Anthropic extends LLMProvider {
 				// Run tools
 				const toolCalls = resp.content.filter((c: any) => c.type === 'tool_use');
 				if(toolCalls.length && !controller.signal.aborted) {
-					history.push({role: 'assistant', content: resp.content});
+					history.push({role: 'assistant', content: resp.content, timestamp: Date.now()});
 					const results = await Promise.all(toolCalls.map(async (toolCall: any) => {
 						const tool = tools.find(findByProp('name', toolCall.name));
 						if(options.stream) options.stream({tool: toolCall.name});
 						if(!tool) return {tool_use_id: toolCall.id, is_error: true, content: 'Tool not found'};
 						try {
-							const result = await tool.fn(toolCall.input, options?.stream, this.ai);
+							// Wrap stream so a tool's `done` ends turn gracefully
+							const toolStream = options.stream && ((chunk: any) => {
+								if(chunk.done) { terminal = true; return; }
+								options.stream!(chunk);
+							});
+							const result = await tool.fn(toolCall.input, toolStream, this.ai);
 							return {type: 'tool_result', tool_use_id: toolCall.id, content: typeof result == 'object' ? JSONSanitize(result) : result};
 						} catch (err: any) {
 							return {type: 'tool_result', tool_use_id: toolCall.id, is_error: true, content: err?.message || err?.toString() || 'Unknown'};
 						}
 					}));
-					history.push({role: 'user', content: results});
+					history.push({role: 'user', content: results, timestamp: Date.now()});
 					requestParams.messages = history;
 				}
-			} while (!controller.signal.aborted && resp.content.some((c: any) => c.type === 'tool_use'));
+			} while (!terminal && !controller.signal.aborted && resp.content.some((c: any) => c.type === 'tool_use'));

+			if(!terminal) {
 				const textContent = resp.content.filter((c: any) => c.type == 'text').map((c: any) => c.text).join('\n\n');
-			history.push({role: 'assistant', content: textContent});
+				history.push({role: 'assistant', content: textContent, timestamp: Date.now()});
+			}
 			history = this.toStandard(history);
-
 			if(options.stream) options.stream({done: true});
 			if(options.history) options.history.splice(0, options.history.length, ...history);
-
-			// Return parsed JSON if schema provided
 			const finalContent = history.at(-1)?.content;
 			res(options.schema ? JSONAttemptParse(finalContent, finalContent) : finalContent);
 		}), {abort: () => controller.abort()});
--- a/src/index.ts
+++ b/src/index.ts
@@ -3,6 +3,8 @@ export * from './antrhopic';
 export * from './audio';
 export * from './llm';
 export * from './memory';
+export * from './memory-cache';
+export * from './memory-graph';
 export * from './open-ai';
 export * from './provider';
 export * from './tools';
--- a/src/llm.ts
+++ b/src/llm.ts
@@ -1,12 +1,13 @@
 import {AbortablePromise, Ai} from './ai.ts';
 import {Anthropic} from './antrhopic.ts';
+import {MemoryCache} from './memory-cache.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} from './memory.ts';
+import {Memory, MemoryManager} from './memory.ts';

 export type AnthropicConfig = {proto: 'anthropic', token: string};
 export type OpenAiConfig = {proto: 'openai', host?: string, token: string};
@@ -143,7 +144,7 @@ class LLM {
 		return {
 			prompt: `You have access to the following skill documents, use \`read_skill\` to access them:\n${list}`,
 			tools: [{
-				name: 'read_skill',
+				name: 'skill_read',
 				description: 'Read the full content of a skill/knowledge document',
 				args: {
 					name: {type: 'string', description: 'Exact skill name', required: true}
@@ -167,8 +168,14 @@ class LLM {
 		}
 		const m = options.model || this.defaultModel;
 		if(!this.models[m]) throw new Error(`Model does not exist: ${m}`);
-		let abort = () => {};
-		return Object.assign(new Promise<string>(async res => {
+		let request: AbortablePromise<string> | null = null;
+		let aborted = false;
+		const abort = () => {
+			aborted = true;
+			request?.abort?.();
+		};
+
+		const promise = (async () => {
 			let tools: AiTool[] = options.tools || this.ai.options.llm?.tools || [];
 			const prompts: string[] = [];
 			let history = options.history || [];
@@ -192,6 +199,7 @@ class LLM {
 			// Memory
 			if (options.memory) {
 				const mems = options.memory instanceof MemoryCache ? options.memory.memories : options.memory;
+				if(mems.length) {
 					const relevant = await this.memoryManager.recollect(message, options.memory, 5);
 					prompts.unshift(`You have access to the following memory files:
 	${mems.map(m => `- ${m.name}: ${m.description}`).join('\n')}
@@ -205,9 +213,13 @@ ${r.content}
 	` : ''}`.trim());
 					tools.push(this.memoryManager.tools.read(options.memory));
 				}
+			}
+
+			if(aborted) throw Object.assign(new Error('Aborted'), {name: 'AbortError'});

 			prompts.unshift(options.system || this.ai.options.llm?.system || '');
-			const resp = await this.models[m].ask(message, {...options, tools, system: prompts.filter(Boolean).join('\n\n')});
+			request = this.models[m].ask(message, {...options, tools, system: prompts.filter(Boolean).join('\n\n')});
+			const resp = await request;

 			// Trim memory injections from history
 			if(options.memory) {
@@ -221,16 +233,18 @@ ${r.content}
 				if(options.history) options.history.splice(0, options.history.length, ...compressed);
 			}

-			return res(resp);
-		}), {abort});
+			return resp;
+		})();
+
+		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<void> {
-		await this.memoryManager.memorize(history, memories, {model: this.defaultModel, ...options});
+	async updateMemory(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest = {}): Promise<Memory[]> {
+		return this.memoryManager.memorize(history, memories, {model: this.defaultModel, ...options});
 	}

 	/**
@@ -383,15 +397,37 @@ ${r.content}
 	 * @param {string} searchTerms Multiple search terms to check against target
 	 * @returns {{avg: number, max: number, similarities: number[]}} Similarity values 0-1: 0 = unique, 1 = identical
 	 */
-	fuzzyMatch(target: string, ...searchTerms: string[]) {
+	fuzzyMatch(target, ...searchTerms) {
 		if (searchTerms.length < 2) throw new Error('Requires at least 2 strings to compare');
-		const vector = (text: string, dimensions: number = 10): number[] => {
-			return text.toLowerCase().split('').map((char, index) =>
-				(char.charCodeAt(0) * (index + 1)) % dimensions / dimensions).slice(0, dimensions);
+
+		const levenshtein = (a, b) => {
+			const m = a.length, n = b.length;
+			if (!m) return n;
+			if (!n) return m;
+			const dp = Array.from({length: m + 1}, (_, i) => [i, ...Array(n).fill(0)]);
+			for (let j = 0; j <= n; j++) dp[0][j] = j;
+			for (let i = 1; i <= m; i++) {
+				for (let j = 1; j <= n; j++) {
+					dp[i][j] = a[i - 1] === b[j - 1]
+						? dp[i - 1][j - 1]
+						: 1 + Math.min(dp[i - 1][j - 1], dp[i - 1][j], dp[i][j - 1]);
 				}
-		const v = vector(target);
-		const similarities = searchTerms.map(t => vector(t)).map(refVector => this.cosineSimilarity(v, refVector));
-		return {avg: similarities.reduce((acc, s) => acc + s, 0) / similarities.length, max: Math.max(...similarities), similarities};
+			}
+			return dp[m][n];
+		};
+
+		const similarity = (a, b) => {
+			a = a.toLowerCase(); b = b.toLowerCase();
+			const dist = levenshtein(a, b);
+			return 1 - dist / Math.max(a.length, b.length, 1);
+		};
+
+		const similarities = searchTerms.map(t => similarity(target, t));
+		return {
+			avg: similarities.reduce((acc, s) => acc + s, 0) / similarities.length,
+			max: Math.max(...similarities),
+			similarities
+		};
 	}

 	/**
--- a/src/memory-cache.ts
+++ b/src/memory-cache.ts
@@ -0,0 +1,59 @@
+import {KDPoint, KDTree} from './kd-tree.ts';
+import {Memory, MemoryRef} from './memory.ts';
+
+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();
+	}
+}
--- a/src/memory-graph.ts
+++ b/src/memory-graph.ts
@@ -0,0 +1,69 @@
+import {MemoryCache} from './memory-cache.ts';
+import {extractMetadata, Memory, MemoryNode} from './memory.ts';
+
+export function buildMemoryGraph(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>();
+
+	const nodes: MemoryNode[] = mems.map(m => {
+		const {links, backlinks} = extractMetadata(m.content);
+		return {
+			name: m.name,
+			missing: false,
+			links,
+			backlinks,
+		};
+	});
+
+	for (const node of nodes) {
+		for (const link of node.links) {
+			if (!nameSet.has(link)) ghosts.add(link);
+		}
+	}
+
+	return [
+		...nodes,
+		...[...ghosts].map(name => ({
+			name,
+			missing: true,
+			links: [],
+			backlinks: nodes
+				.filter(n => n.links.includes(name))
+				.map(n => n.name),
+		}))
+	];
+}
+
+export function renderMemoryGraph(nodes) {
+	if (!nodes.length) return 'No memories yet.';
+
+	const groups = new Map();
+	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});
+	}
+
+	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));
+		lines.push(`${group}/`);
+		items.forEach((n, i) => {
+			const last = i === items.length - 1;
+			const branch = last ? '└─' : '├─';
+			const pad = last ? '  ' : '│ ';
+			const tag = n.missing ? ' (ghost)' : '';
+			lines.push(`  ${branch} ${n.label}${tag}`);
+			if (n.links.length) lines.push(`  ${pad}   → ${n.links.join(', ')}`);
+			if (n.backlinks.length) lines.push(`  ${pad}   ← ${n.backlinks.join(', ')}`);
+		});
+		lines.push('');
+	}
+
+	return lines.join('\n').trimEnd();
+}
--- a/src/memory.ts
+++ b/src/memory.ts
@@ -1,22 +1,20 @@
 import {LLMRequest, LLMMessage} from './llm.ts';
+import {MemoryCache} from './memory-cache.ts';
 import {AiTool} from './tools.ts';
-import {KDTree, KDPoint} from './kd-tree.ts';

 export type Memory = {
 	name: string;
 	description: string;
 	content: string;
 	embedding: number[];
-	links: string[];
-	backlinks: string[];
 }

-type MemoryRef = {
+export type MemoryRef = {
 	name: string;
 	description: string;
 }

-type FactBucket = {
+export type FactBucket = {
 	subject: string;
 	facts: string[];
 }
@@ -28,48 +26,36 @@ export type MemoryNode = {
 	backlinks: string[];
 }

-export function buildMemoryGraph(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) {
-		for (const link of m.links) {
-			if (!nameSet.has(link)) ghosts.add(link);
-		}
-	}
-
-	return [
-		...mems.map(m => ({
-			name: m.name,
-			missing: false,
-			links: m.links,
-			backlinks: m.backlinks,
-		})),
-		...[...ghosts].map(name => ({
-			name,
-			missing: true,
-			links: [],
-			backlinks: mems
-				.filter(m => m.links.includes(name))
-				.map(m => m.name),
-		}))
-	];
-}
-
 function extractLinks(content: string): string[] {
+	if(!content) return [];
 	const matches = content.matchAll(/\[\[([^\]]+)\]\]/g);
 	return [...new Set([...matches].map(m => m[1].trim()))];
 }

-function rebuildBacklinks(memories: Memory[]): void {
-	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);
+export function extractMetadata(content: string): {links: string[], backlinks: string[]} {
+	const match = content.match(/^---\n([\s\S]*?)\n---/);
+	if (!match) return {links: [], backlinks: []};
+
+	const fm = match[1];
+	const getList = (key: string): string[] => {
+		const m = fm.match(new RegExp(`^${key}:\\s*\\[(.*)\\]$`, 'm'));
+		if (!m || !m[1].trim()) return [];
+		return m[1].split(',').map(s => s.trim().replace(/^"|"$/g, '')).filter(Boolean);
+	};
+
+	return {
+		links: getList('links'),
+		backlinks: getList('backlinks'),
+	};
 }
+
+function dedupeFacts(facts: string[]): string[] {
+	const seen = new Map<string, string>();
+	for (const f of facts) {
+		const clean = f.trim();
+		if (clean) seen.set(clean.toLowerCase(), clean);
 	}
+	return [...seen.values()];
 }

 function cosineDistance(a: number[], b: number[]): number {
@@ -83,62 +69,38 @@ function cosineDistance(a: number[], b: number[]): number {
 	return denom === 0 ? 1 : 1 - dot / denom;
 }

-export class MemoryCache {
-	private tree: KDTree<MemoryRef>;
-	public memories: Memory[];
-
-	constructor(memories: Memory[]) {
-		this.memories = memories;
-		this.tree = this.buildTree();
+function getWeekMonday(date: Date = new Date()): string {
+	const d = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()));
+	const day = d.getUTCDay();
+	const diff = day === 0 ? -6 : 1 - day;
+	d.setUTCDate(d.getUTCDate() + diff);
+	return d.toISOString().slice(0, 10);
 }

-	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);
+function getWeekSunday(monday: string): string {
+	const d = new Date(`${monday}T00:00:00Z`);
+	d.setUTCDate(d.getUTCDate() + 6);
+	return d.toISOString().slice(0, 10);
 }

-	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();
-	}
-
-	rebuild(): void {
-		this.tree = this.buildTree();
-	}
-
-	rebuildLinks(): void {
-		rebuildBacklinks(this.memories);
-	}
-}

 export class MemoryManager {
+	private pendingMemorizations = new Map<string, {
+		memories: Memory[] | MemoryCache,
+		tempMemoryName: string,
+		timestamp: number,
+	}>();
+
+	private queues = new Map<string, {
+		pending: string[],
+		request: {abort?: () => void} | null,
+		task: Promise<void>,
+	}>();

 	tools = {
 		read: (memories: Memory[] | MemoryCache): AiTool => ({
-			name: 'read_memory',
+			name: 'memory_recall',
 			description: 'Read the full content of a memory document',
 			args: {
 				name: {type: 'string', description: 'Exact memory name', required: true},
@@ -147,49 +109,84 @@ export class MemoryManager {
 				const mems = memories instanceof MemoryCache ? memories.memories : memories;
 				const mem = mems.find(m => m.name === args.name);
 				if (!mem) return 'Document not found';
-				return this.formatMemory(mem);
-			}
+				return mem.content;
+			},
+		}),
+
+		forget: (memories: Memory[] | MemoryCache): AiTool => ({
+			name: 'memory_forget',
+			description: 'Permanently delete a memory document and clean up all references to it',
+			args: {
+				name: {type: 'string', description: 'Exact memory name to forget', required: true}
+			},
+			fn: (args: any) => {
+				const result = this.forget(args.name, memories);
+				return result ? `Forgotten: ${args.name}` : `Not found: ${args.name}`;
+			},
 		}),
 	};

 	constructor(private llm: any) {}

+	private async createTempMemory(conversation: string): Promise<Memory> {
+		const timestamp = Date.now();
+		const content = `---
+name: _temp_${timestamp}
+description: Temporary memory - processing in background
+tags: [_temporary]
+links: []
+backlinks: []
+modified: ${new Date().toISOString()}
+---
+
+# Recent Conversation (Processing)
+
+${conversation}`;
+		const [e] = await this.llm.embedding(content);
+		return {
+			name: `_temp_${timestamp}`,
+			description: 'Temporary memory - processing in background',
+			content,
+			embedding: e?.embedding || [],
+		};
+	}
+
+	forget(name: string, memories: Memory[] | MemoryCache): boolean {
+		const mem = memories instanceof MemoryCache ? memories.memories : memories;
+		const idx = mem.findIndex(m => m.name === name);
+		if (idx === -1) return false;
+
+		for (const node of mem) {
+			const {links, backlinks} = extractMetadata(node.content);
+			const newBacklinks = backlinks.filter(b => b !== name);
+			const newLinks = links.filter(l => l !== name);
+
+			if (newBacklinks.length !== backlinks.length || newLinks.length !== links.length) {
+				node.content = this.updateFrontmatter(node.content, {
+					links: newLinks,
+					backlinks: newBacklinks,
+				});
+			}
+		}
+
+		mem.splice(idx, 1);
+
+		if (memories instanceof MemoryCache) memories.rebuild();
+		return true;
+	}
+
 	private cosineSearch(query: number[], memories: Memory[], limit: number): MemoryRef[] {
 		const scored = memories
 			.filter(m => m.embedding?.length)
 			.map(m => ({
 				ref: {name: m.name, description: m.description},
-				distance: cosineDistance(query, m.embedding)
+				distance: cosineDistance(query, m.embedding),
 			}))
 			.sort((a, b) => a.distance - b.distance)
 			.slice(0, limit);
 		return scored.map(s => s.ref);
 	}

-	private createNode(name: string, memories: Memory[]): Memory {
-		const existing = memories.find(m => m.name === name);
-		if(existing) return existing;
-		return {
-			name,
-			description: '',
-			content: '',
-			embedding: [],
-			links: [],
-			backlinks: [],
-		};
-	}
-
-	private formatMemory(mem: Memory): string {
-		return [
-			`# ${mem.name}`,
-			mem.description ? `> ${mem.description}` : '',
-			mem.links.length ? `**Links:** ${mem.links.map(l => `[[${l}]]`).join(', ')}` : '',
-			mem.backlinks.length ? `**Referenced by:** ${mem.backlinks.map(l => `[[${l}]]`).join(', ')}` : '',
-			'',
-			mem.content,
-		].filter(l => l !== undefined).join('\n');
-	}
-
 	private listNodes(memories: Memory[]): MemoryRef[] {
 		return memories.map(m => ({name: m.name, description: m.description}));
 	}
@@ -197,6 +194,7 @@ export class MemoryManager {
 	async recollect(query: string, memories: Memory[] | MemoryCache, limit = 5, graphDepth = 1): Promise<Memory[]> {
 		const mem: Memory[] = memories instanceof MemoryCache ? memories.memories : memories;
 		if (!mem.length) return [];
+
 		const [e] = await this.llm.embedding(query);
 		if (!e) return [];

@@ -212,7 +210,8 @@ export class MemoryManager {
 				for (const name of frontier) {
 					const node = mem.find(m => m.name === name);
 					if (!node) continue;
-					for(const link of node.links) {
+					const {links} = extractMetadata(node.content);
+					for (const link of links) {
 						if (!found.has(link) && mem.find(m => m.name === link)) {
 							found.add(link);
 							next.push(link);
@@ -230,272 +229,255 @@ export class MemoryManager {
 		return ordered.map(n => mem.find(m => m.name === n)!).filter(Boolean);
 	}

-	async memorize(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest): Promise<void> {
-		const mem = memories instanceof MemoryCache ? memories.memories : memories;
+	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 [];

-		if(conversation) {
-			const buckets = await this.factAgent(conversation, mem, options);
-			if(buckets.length) {
-				await Promise.all(buckets.map(async bucket => {
-					const node = await this.organizingAgent(bucket, mem, options);
-					if(!mem.find(m => m.name === node.name)) mem.push(node);
-					await this.docAgent(node, bucket, mem, options);
-				}));
-			}
-		}
-
-		// Auto-compress old journals
-		const weekAgo = Date.now() - (7 * 24 * 60 * 60 * 1000);
-		const oldDailies = mem.filter(m => {
-			const journal = /^Journal\/(\d{4}-\d{2}-\d{2}$)/.exec(m.name);
-			return journal && new Date(journal[1]).getTime() < weekAgo;
+		const trackingId = `${Date.now()}_${Math.random()}`;
+		const tempMemory = await this.createTempMemory(conversation);
+		const mem = memories instanceof MemoryCache ? memories.memories : memories;
+		mem.push(tempMemory);
+		if (memories instanceof MemoryCache) memories.rebuild();
+		this.pendingMemorizations.set(trackingId, {
+			memories,
+			tempMemoryName: tempMemory.name,
+			timestamp: Date.now(),
 		});

-		if(oldDailies.length) {
-			const byMonth = new Map<string, Memory[]>();
-			for(const daily of oldDailies) {
-				const match = daily.name.match(/^Journal\/(\d{4}-\d{2})-\d{2}$/);
-				if(!match) continue;
-				const monthKey = match[1];
-				if(!byMonth.has(monthKey)) byMonth.set(monthKey, []);
-				byMonth.get(monthKey)!.push(daily);
+		try {
+			await this._memorizeBackground(conversation, memories, options, tempMemory.name);
+			const finalMem = memories instanceof MemoryCache ? memories.memories : memories;
+			return finalMem.filter(m => !m.name.startsWith('_temp_'));
+		} finally {
+			const pending = this.pendingMemorizations.get(trackingId);
+			if (pending) {
+				const cleanMem = pending.memories instanceof MemoryCache
+					? pending.memories.memories
+					: pending.memories;
+				const idx = cleanMem.findIndex(m => m.name === pending.tempMemoryName);
+				if (idx !== -1) cleanMem.splice(idx, 1);
+				if (pending.memories instanceof MemoryCache) pending.memories.rebuild();
 			}
-
-			for(const [monthKey, entries] of byMonth) {
-				const monthlyPath = `Journal/${monthKey}`;
-				let monthly = mem.find(m => m.name === monthlyPath);
-				if(!monthly) {
-					monthly = this.createNode(monthlyPath, mem);
-					mem.push(monthly);
-				}
-
-				const bucket: FactBucket = {
-					subject: monthlyPath,
-					facts: entries.flatMap(e => e.content.split('\n').filter(line => line.trim())),
-				};
-
-				await this.docAgent(monthly, bucket, mem, options);
-				for(const daily of entries) {
-					const idx = mem.indexOf(daily);
-					if(idx !== -1) mem.splice(idx, 1);
-				}
-			}
-		}
-
-		if (memories instanceof MemoryCache) {
-			memories.rebuildLinks();
-			memories.rebuild();
-		} else {
-			rebuildBacklinks(mem);
+			this.pendingMemorizations.delete(trackingId);
 		}
 	}

-	private async docAgent(node: Memory, bucket: FactBucket, memories: Memory[], options: LLMRequest): Promise<void> {
-		let finalContent = node.content;
-		const isJournalCompression = node.name.match(/^Journal\/\d{4}-\d{2}$/);
-		const systemPrompt = isJournalCompression
-			? `You are a journal compressor. Condense the daily entries below into a monthly summary.
+	private async _memorizeBackground(conversation: string, memories: Memory[] | MemoryCache, options: LLMRequest, tempName: string): Promise<void> {
+		const mem = memories instanceof MemoryCache ? memories.memories : memories;
+		const monday = getWeekMonday();
+		const sunday = getWeekSunday(monday);
+		const buckets = await this.factAgent(conversation, mem, options, monday);
+		if(!buckets.length) return;
+		const jobs = [...buckets].map(({subject, facts}) => {
+			let node = mem.find(m => m.name === subject);
+			if(!node) {
+				node = {name: subject, description: '', content: '', embedding: [],};
+				mem.push(node);
+			}
+			const week = subject.startsWith('Journal/') ? {monday, sunday} : undefined;
+			return this.enqueue(node, facts, mem, options, tempName, week);
+		});
+		await Promise.all(jobs);
+	}

-Format:
-# ${node.name}
+	/**
+	 * Coalescing queue: if a doc is already compiling, abort the in-flight run, merge its
+	 * facts with the new ones and restart. Never blocks a pending update, never drops facts.
+	 */
+	private enqueue(node: Memory, facts: string[], memories: Memory[] | MemoryCache, options: LLMRequest, tempName: string, week?: {monday: string, sunday: string}): Promise<void> {
+		const key = node.name;
+		const existing = this.queues.get(key);
+		if (existing) {
+			existing.pending.push(...facts);
+			existing.request?.abort?.();
+			return existing.task;
+		}

-## Themes
-(Recurring topics, moods, patterns)
+		const entry: {pending: string[], request: {abort?: () => void} | null, task: Promise<void>} = {pending: [...facts], request: null, task: Promise.resolve()};
+		this.queues.set(key, entry);
+		const m = memories instanceof MemoryCache ? memories.memories : memories;
+		entry.task = (async () => {
+			while (entry.pending.length) {
+				const batch = dedupeFacts(entry.pending.splice(0, entry.pending.length));
+				const written = await this.docAgent(node, batch, m, options, tempName, week, entry);
+				if (!written) entry.pending.unshift(...batch);
+			}
+		})().finally(() => {
+			this.queues.delete(key);
+			if(!this.queues.size && memories instanceof MemoryCache) memories.rebuild();
+		});
+		return entry.task;
+	}

-## Key Events
-(Important moments, decisions, milestones)
+	private buildHeader(node: Memory, week?: {monday: string, sunday: string}, links: string[] = [], backlinks: string[] = []): string {
+		const tags = node.name.split('/')[0]?.toLowerCase();
+		const lines = [
+			'---',
+			`name: ${node.name}`,
+			`description: ${node.description || ''}`,
+			tags ? `tags: [${tags}]` : '',
+			links.length ? `links: [${links.map(l => `"${l}"`).join(', ')}]` : 'links: []',
+			backlinks.length ? `backlinks: [${backlinks.map(l => `"${l}"`).join(', ')}]` : 'backlinks: []',
+			week ? `week: ${week.monday} – ${week.sunday}` : '',
+			`modified: ${new Date().toISOString()}`,
+			'---',
+		].filter(Boolean);
+		return lines.join('\n');
+	}

-## Notable Conversations
-(Significant discussions or revelations)
+	private applyHeader(content: string, header: string): string {
+		return `${header}\n\n${this.stripHeader(content)}`;
+	}

-Rules:
- Use [[WikiLinks]] to reference permanent notes using full paths like [[People/Sarah]] or [[Projects/Website]]
- Keep it concise but preserve emotional/temporal context
- Discard filler but keep things the user vented about or cared about
- If a fact belongs in a permanent note, link to it instead of duplicating
+	private updateFrontmatter(content: string, updates: {links?: string[], backlinks?: string[]}): string {
+		const match = content.match(/^---\n([\s\S]*?)\n---\n\n?([\s\S]*)$/);
+		if (!match) return content;

-Current monthly summary:
-\`\`\`markdown
-${node.content || '(empty — first compression for this month)'}
-\`\`\``
-			: `You are a knowledge base editor. Integrate the provided facts into the document below.
+		const [, fm, body] = match;
+		let newFm = fm;
+
+		if (updates.links !== undefined) {
+			const linksList = updates.links.length ? `[${updates.links.map(l => `"${l}"`).join(', ')}]` : '[]';
+			newFm = newFm.replace(/^links:.*$/m, `links: ${linksList}`);
+		}
+
+		if (updates.backlinks !== undefined) {
+			const backlinksList = updates.backlinks.length ? `[${updates.backlinks.map(l => `"${l}"`).join(', ')}]` : '[]';
+			newFm = newFm.replace(/^backlinks:.*$/m, `backlinks: ${backlinksList}`);
+		}
+
+		newFm = newFm.replace(/^modified:.*$/m, `modified: ${new Date().toISOString()}`);
+
+		return `---\n${newFm}\n---\n\n${body}`;
+	}
+
+	private stripHeader(content: string): string {
+		return content.replace(/^---[\s\S]*?\n---\n?/, '').trimStart();
+	}
+
+	private async docAgent(node: Memory, facts: string[], memories: Memory[], options: LLMRequest, tempName: string, week: {monday: string, sunday: string} | undefined, entry: {request: {abort?: () => void} | null}): Promise<boolean> {
+		const {links: oldLinks} = extractMetadata(node.content);
+		const currentBody = this.stripHeader(node.content);
+		let update;
+		try {
+			for(let i = 0; i < 3 && !update?.content; i++) {
+				const request = this.llm.ask(`New Facts:\n${facts.map(f => `- ${f}`).join('\n')}`, {
+					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},
+						content: {type: 'string', description: 'Rewritten document in markdown, without the frontmatter block', required: true},
+					},
+					system: `You are a knowledge base editor. Rewrite the current document below so it incorporates the new facts.

 Formatting rules:
- Use Obsidian-style markdown: # headings, **bold** for key terms, bullet lists for facts
+- Use Obsidian-style markdown: # headings, **bold** to add emphasis, __italics__ for titles, terms, etc, bullet & numbered lists for grouped 1D data and tables for 2D data
 - Link related concepts with [[WikiLink]] notation using full paths like [[People/Sarah]] or [[Projects/Website]]
- You may create links to nodes that don't exist yet if the concept is important
+- Create links for specific entities (person, place, project, program) and abstract concepts (quantum mechanics, entropy) but skip generics (car, red, dog)
 - Keep the document concise, factual, and human-readable
- Resolve any contradictions between old content and new facts (new facts win)
- Do not add filler, preamble, or AI commentary — just clean knowledge documents
-
+- Resolve contradictions: the new facts always win — delete the outdated statement entirely, never keep both
+- Later facts in the list override earlier ones
+- Do not add frontmatter blocks, filler, preamble, or AI commentary
+${week ? '- This is a weekly journal entry.\n' : ''}
 All nodes:
 ${this.listNodes(memories).map(n => n.name).join(', ') || 'none'}

 Current document:
 \`\`\`markdown
-${node.content || '(empty — this is a new document)'}
-\`\`\``;
-
-		await this.llm.ask(
-			`New facts to integrate:\n${bucket.facts.map(f => `- ${f}`).join('\n')}`,
-			{
-				model: options.model,
-				temperature: 0.3,
-				system: systemPrompt,
-				tools: [{
-					name: 'update_document',
-					description: 'Write the complete updated document content',
-					args: {
-						description: {type: 'string', description: 'One-line description of what this document covers, no formatting or emojis', required: true},
-						content: {type: 'string', description: 'Fully updated document in markdown', required: true},
-					},
-					fn:(args: any) => {
-						node.description = args.description;
-						finalContent = args.content;
-						return 'Saved';
-					}
-				}]
-			}
+${currentBody}
+\`\`\``}
 				);
+				entry.request = request;
+				update = await request;
+			}
+		} catch (err: any) {
+			if (err?.name === 'AbortError') return false;
+			throw err;
+		} finally {
+			entry.request = null;
+		}

-		node.content = finalContent;
-		node.links = extractLinks(finalContent);
-		const needsEmbed = !node.embedding?.length || node.description !== memories.find(m => m.name === node.name)?.description;
-		if (needsEmbed) {
-			const [e] = await this.llm.embedding(node.description);
+		if(!update?.content) return false;
+		const newLinks = extractLinks(update.content).filter(l => l !== node.name && l !== tempName);
+		const newLinkSet = new Set(newLinks);
+		const oldLinkSet = new Set(oldLinks);
+
+		for (const added of newLinkSet) {
+			if (!oldLinkSet.has(added)) {
+				const target = memories.find(m => m.name === added);
+				if (target) {
+					const {backlinks} = extractMetadata(target.content);
+					if (!backlinks.includes(node.name)) {
+						target.content = this.updateFrontmatter(target.content, {
+							backlinks: [...backlinks, node.name],
+						});
+					}
+				}
+			}
+		}
+		for (const removed of oldLinkSet) {
+			if (!newLinkSet.has(removed)) {
+				const target = memories.find(m => m.name === removed);
+				if (target) {
+					const {backlinks} = extractMetadata(target.content);
+					target.content = this.updateFrontmatter(target.content, {
+						backlinks: backlinks.filter(b => b !== node.name),
+					});
+				}
+			}
+		}
+
+		const {backlinks} = extractMetadata(node.content);
+		node.description = node.name !== 'Person/User' ? update.description : 'All information about the current user';
+		node.content = this.applyHeader(update.content, this.buildHeader(node, week, newLinks, backlinks));
+		const [e] = await this.llm.embedding(node.content);
 		if(e) node.embedding = e.embedding;
-		}
+		return true;
 	}

-	private async factAgent(conversation: string, memories: Memory[], options: LLMRequest): Promise<FactBucket[]> {
-		const buckets: FactBucket[] = [];
-		const today = new Date().toISOString().split('T')[0];
-
+	private async factAgent(conversation: string, memories: Memory[], options: LLMRequest, weekKey: string): Promise<FactBucket[]> {
+		const buckets = new Map<string, string[]>();
 		await this.llm.ask(conversation, {
 			model: options.model,
 			temperature: 0.2,
 			system: `You are a fact extractor. Analyze this conversation and extract facts worth remembering long-term.

 Rules:
- ONLY extract facts the USER explicitly stated about themselves, their work, or their projects
+- 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

-**Organizational patterns:**
- Journal entries use paths like: Journal/${today}
- People use paths like: People/Name
- Projects use paths like: Projects/Name
- Personal info uses paths like: Personal/Goals, Personal/Tasks, etc.
- General knowledge uses paths like: Biology/Topic, History/Topic, etc.
-
-Learn from existing nodes and follow the same pattern when extracting.
-
-Group facts by subject. For each group call \`extract_facts\` once with the FULL PATH.
-
-Known nodes (name: description):
-${this.listNodes(memories).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}`,
-			tools: [{
-				name: 'extract_facts',
-				description: 'Submit a group of related facts for a specific subject',
-				args: {
-					subject: {type: 'string', description: 'Full path for the subject (e.g., "Journal/2025-01-27", "People/Sarah", "Projects/Website")', required: true},
-					facts: {type: 'string', description: 'Comma-separated list of extracted facts', required: true},
-				},
-				fn: (args: any) => {
-					buckets.push({
-						subject: args.subject,
-						facts: args.facts.split(',').map((f: string) => f.trim()).filter(Boolean),
-					});
-					return 'Recorded';
-				}
-			}]
-		});
-
-		return buckets;
-	}
-
-	private async organizingAgent(bucket: FactBucket, memories: Memory[], options: LLMRequest): Promise<Memory> {
-		let candidates = this.listNodes(memories);
-		let attempts = 0;
-		const maxAttempts = 3;
-
-		while (attempts++ < maxAttempts) {
-			let home = '', mode: string | null = null;
-
-			const resp = await this.llm.ask(`Subject: ${bucket.subject}\n\nFacts:\n${bucket.facts.map(f => `- ${f}`).join('\n')}`, {
-				model: options.model,
-				temperature: 0.1,
-				system: `You are a knowledge organizer. Your job is to find the correct home for the supplied facts.
-
-1. Review the facts and the node list below. Pick the most likely match or decide if a new node is needed.
-2. If you picked an existing node, use \`read\` to verify it's the right place.
- After reading, call either \`confirm\` (correct node) or \`mismatched\` (wrong node).
-3. If none of the nodes match, call \`create\` to make a new node.
-
-**Organizational patterns:**
- Journal entries: Journal/YYYY-MM-DD
- People: People/Name
- Projects: Projects/Name
- Personal: Personal/Goals, Personal/Tasks, etc.
- Knowledge: Biology/Topic, History/Topic, etc.
+When extracting facts, you MUST also decide the exact destination path:
+- Use an existing node name if the facts clearly belong there
+- All information primary about the user should go under "People/User"
+- When required, create a new path following collection/subject format (e.g., People/Sarah, Projects/Oxide)
+- For journal entries, use "Journal"

 Available nodes:
-${candidates.map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None — create a new node.'}`,
+- Journal
+${this.listNodes(memories).filter(n => !n.name.includes('_temp_') && !n.name.includes('Journal')).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}`,
 			tools: [{
-					name: 'read',
-					description: 'Read a node file to verify it is the right home for these facts',
-					args: {name: {type: 'string', description: 'Exact node name (full path)', required: true}},
-					fn: ({name}) => {
-						const mem = memories.find(m => m.name === name);
-						if (!mem) return 'Node not found';
-						home = name;
-						return this.formatMemory(mem);
-					}
-				}, {
-					name: 'confirm',
-					description: 'Confirm this is the correct node for the facts',
-					args: {},
-					fn: () => {
-						mode = 'success';
-						resp.abort();
-					}
-				}, {
-					name: 'mismatched',
-					description: 'This is not the node you are looking for',
-					args: {},
-					fn: () => {
-						mode = 'failed';
-						resp.abort();
-					}
-				}, {
-					name: 'create',
-					description: 'No existing node fits — create a new one',
+				name: 'facts_extract',
+				description: 'Submit facts with their destination',
 				args: {
-						name: {type: 'string', description: 'Full path for the new node (e.g., "People/Sarah", "Journal/2025-01-27")', required: true}
+					destination: {type: 'string', description: 'Exact existing node name OR new path (e.g. "People/Sarah", "Projects/Oxide")', required: true},
+					facts: {type: 'string', description: 'Comma-separated facts', required: true},
 				},
-					fn: ({name}) => {
-						home = name;
-						mode = 'create';
-						resp.abort();
-					}
-				}]
+				fn: (args: any) => {
+					const subject = args.destination.trim().toLowerCase() === 'journal'
+						? `Journal/${weekKey}` : args.destination.trim();
+					const facts = buckets.get(subject) ?? [];
+					facts.push(...dedupeFacts(String(args.facts).split(',')));
+					buckets.set(subject, facts);
+					return 'Recorded';
+				},
+			}],
 		});
-
-			if(mode === 'create') {
-				return this.createNode(home, memories);
-			} else if (mode === 'failed') {
-				candidates = candidates.filter(c => c.name !== home);
-				if(!candidates.length) return this.createNode(bucket.subject, memories);
-			} else if (mode === 'success') {
-				const existing = memories.find(m => m.name === home);
-				return existing || this.createNode(home, memories);
-			}
-		}
-		return this.createNode(bucket.subject, memories);
+		return buckets.entries().toArray().map(([subject, facts]) => ({subject, facts}));
 	}
 }
--- a/src/open-ai.ts
+++ b/src/open-ai.ts
@@ -29,11 +29,11 @@ export class OpenAi extends LLMProvider {
 				}));
 				history.splice(i, 1, ...tools);
 				i += tools.length - 1;
-			} else if(h.role === 'tool' && h.content) {
+			} else if(h.role === 'tool') {
 				const record = history.find(h2 => h.tool_call_id == h2.id);
 				if(record) {
-					if(h.content.includes('"error":')) record.error = h.content;
-					else record.content = h.content;
+					if(h.content?.includes('"error":')) record.error = h.content;
+					else record.content = h.content || '';
 				}
 				history.splice(i, 1);
 				i--;
@@ -51,15 +51,16 @@ export class OpenAi extends LLMProvider {
 					content: null,
 					tool_calls: [{ id: h.id, type: 'function', function: { name: h.name, arguments: JSON.stringify(h.args) } }],
 					refusal: null,
-					annotations: []
+					annotations: [],
+					timestamp: h.timestamp,
 				}, {
 					role: 'tool',
 					tool_call_id: h.id,
-					content: h.error || h.content
+					content: h.error || h.content,
+					timestamp: h.timestamp,
 				});
 			} else {
-				const {timestamp, ...rest} = h;
-				result.push(rest);
+				result.push(h);
 			}
 			return result;
 		}, [] as any[]);
@@ -106,8 +107,9 @@ export class OpenAi extends LLMProvider {
 				};
 			}

-			let resp: any, isFirstMessage = true;
+			let resp: any, isFirstMessage = true, terminal = false;
 			do {
+				requestParams.messages = history.map(({timestamp, ...m}) => m);
 				resp = await this.client.chat.completions.create(requestParams).catch(err => {
 					err.message += `\n\nMessages:\n${JSON.stringify(history, null, 2)}`;
 					throw err;
@@ -116,7 +118,7 @@ export class OpenAi extends LLMProvider {
 				if(options.stream) {
 					if(!isFirstMessage) options.stream({text: '\n\n'});
 					else isFirstMessage = false;
-					resp.choices = [{message: {role: 'assistant', content: '', tool_calls: []}}];
+					resp.choices = [{message: {role: 'assistant', content: '', tool_calls: [], timestamp: Date.now()}}];
 					for await (const chunk of resp) {
 						if(controller.signal.aborted) break;
 						if(chunk.choices[0].delta.content) {
@@ -158,28 +160,32 @@ export class OpenAi extends LLMProvider {
 					const results = await Promise.all(toolCalls.map(async (toolCall: any) => {
 						const tool = tools?.find(findByProp('name', toolCall.function.name));
 						if(options.stream) options.stream({tool: toolCall.function.name});
-						if(!tool) return {role: 'tool', tool_call_id: toolCall.id, content: '{"error": "Tool not found"}'};
+						if(!tool) return {role: 'tool', tool_call_id: toolCall.id, content: '{"error": "Tool not found"}', timestamp: Date.now()};
 						try {
 							const args = JSONAttemptParse(toolCall.function.arguments, {});
-							const result = await tool.fn(args, options.stream, this.ai);
-							return {role: 'tool', tool_call_id: toolCall.id, content: typeof result == 'object' ? JSONSanitize(result) : result};
+							// Wrap stream so a tool's `done` ends turn gracefully
+							const toolStream = options.stream && ((chunk: any) => {
+								if(chunk.done) { terminal = true; return; }
+								options.stream!(chunk);
+							});
+							const result = await tool.fn(args, toolStream, this.ai);
+							return {role: 'tool', tool_call_id: toolCall.id, content: typeof result == 'object' ? JSONSanitize(result) : result, timestamp: Date.now()};
 						} catch (err: any) {
-							return {role: 'tool', tool_call_id: toolCall.id, content: JSONSanitize({error: err?.message || err?.toString() || 'Unknown'})};
+							return {role: 'tool', tool_call_id: toolCall.id, content: JSONSanitize({error: err?.message || err?.toString() || 'Unknown'}), timestamp: Date.now()};
 						}
 					}));
 					history.push(...results);
 					requestParams.messages = history;
 				}
-			} while (!controller.signal.aborted && resp.choices?.[0]?.message?.tool_calls?.length);
+			} while (!terminal && !controller.signal.aborted && resp.choices?.[0]?.message?.tool_calls?.length);

+			if(!terminal) {
 				const textContent = resp.choices[0].message.content?.trim() || '';
-			history.push({role: 'assistant', content: textContent});
+				history.push({role: 'assistant', content: textContent, timestamp: Date.now()});
+			}
 			history = this.toStandard(history);
-
 			if(options.stream) options.stream({done: true});
 			if(options.history) options.history.splice(0, options.history.length, ...history);
-
-			// Return parsed JSON if schema provided
 			const finalContent = history.at(-1)?.content;
 			res(options.schema ? JSONAttemptParse(finalContent, finalContent) : finalContent);
 		}), {abort: () => controller.abort()});
--- a/src/provider.ts
+++ b/src/provider.ts
@@ -1,5 +1,5 @@
 import {AbortablePromise} from './ai.ts';
-import {LLMMessage, LLMRequest} from './llm.ts';
+import {LLMRequest} from './llm.ts';

 export abstract class LLMProvider {
 	abstract ask(message: string, options: LLMRequest): AbortablePromise<string>;
--- a/src/tools.ts
+++ b/src/tools.ts
@@ -91,20 +91,33 @@ export function convertSchema(schema: any): any {
 	};
 }

-export const CliTool: AiTool = {
+export const ExecCliTool: AiTool = {
 	name: 'cli',
 	description: 'Use the command line interface, returns any output',
 	args: {command: {type: 'string', description: 'Command to run', required: true}},
 	fn: (args: {command: string}) => $Sync`${args.command}`
 }

-export const DateTimeTool: AiTool = {
-	name: 'get_datetime',
-	description: 'Get local/UTC date/time',
+export const ExecJSTool: AiTool = {
+	name: 'exec_javascript',
+	description: 'Execute commonjs javascript',
 	args: {
-		timezone: {type: 'string', description: 'Which timezone to return, defaults to local', enum: ['local', 'utc'], default: 'local'}
+		code: {type: 'string', description: 'CommonJS javascript', required: true}
 	},
-	fn: ({timezone}) => new Date()[timezone === 'local' ? 'toString' : 'toUTCString']()
+	fn: async (args: {code: string}) => {
+		const c = consoleInterceptor(null);
+		const resp = await Fn<any>({console: c}, args.code, true).catch((err: any) => c.output.error.push(err));
+		return {...c.output, return: resp, stdout: undefined, stderr: undefined};
+	}
+}
+
+export const ExecPythonTool: AiTool = {
+	name: 'exec_python',
+	description: 'Execute commonjs javascript',
+	args: {
+		code: {type: 'string', description: 'CommonJS javascript', required: true}
+	},
+	fn: async (args: {code: string}) => ({result: $Sync`python -c "${args.code}"`})
 }

 export const ExecTool: AiTool = {
@@ -118,11 +131,11 @@ export const ExecTool: AiTool = {
 		try {
 			switch(args.language) {
 				case 'cli':
-					return await CliTool.fn({command: args.code}, stream, ai);
+					return await ExecCliTool.fn({command: args.code}, stream, ai);
 				case 'node':
-					return await JSTool.fn({code: args.code}, stream, ai);
+					return await ExecJSTool.fn({code: args.code}, stream, ai);
 				case 'python':
-					return await PythonTool.fn({code: args.code}, stream, ai);
+					return await ExecPythonTool.fn({code: args.code}, stream, ai);
 				default:
 					throw new Error(`Unsupported language: ${args.language}`);
 			}
@@ -132,8 +145,483 @@ export const ExecTool: AiTool = {
 	}
 }

-export const FetchTool: AiTool = {
-	name: 'fetch',
+export const FsDeleteTool = (whitelist: null | string[] = null): AiTool => {
+	return {
+		name: 'fs_delete',
+		description: 'Delete a file or directory',
+		args: {
+			path: {type: 'string', description: 'Path to file or directory', required: true},
+			recursive: {type: 'boolean', description: 'Delete all children', required: false}
+		},
+		fn: async ({path, recursive = false}) => {
+			const {existsSync, rmSync} = await import('fs');
+			const normalizePath = p => p.replace(/\\/g, '/');
+
+			path = normalizePath(path);
+			if(whitelist && !whitelist.some(p => path.startsWith(p))) return {error: 'Permission denied'};
+			if(!existsSync(path)) return {error: 'Path does not exist'};
+
+			rmSync(path, {recursive, force: true});
+			return {success: true, path};
+		}
+	}
+}
+
+export const FsMoveTool = (whitelist: null | string[] = null): AiTool => {
+	return {
+		name: 'fs_move',
+		description: 'Move or rename a file or directory',
+		args: {
+			source: {type: 'string', description: 'Path to source file or directory', required: true},
+			destination: {type: 'string', description: 'Path to destination file or directory', required: true}
+		},
+		fn: async ({source, destination}) => {
+			const {existsSync, renameSync} = await import('fs');
+			const normalizePath = p => p.replace(/\\/g, '/');
+
+			source = normalizePath(source);
+			destination = normalizePath(destination);
+			if(whitelist && !whitelist.some(p => source.startsWith(p) && destination.startsWith(p))) return {error: 'Permission denied'};
+
+			if(!existsSync(source)) return {error: 'Source path does not exist'};
+			if(existsSync(destination)) return {error: 'Destination path already exists'};
+
+			renameSync(source, destination);
+			return {success: true, source, destination};
+		}
+	}
+}
+
+export const FsReadTool = (whitelist: null | string[] = null): AiTool => {
+	return {
+		name: 'fs_read',
+		description: 'Read the contents of a provided path. Works with files and directories',
+		args: {path: {type: 'string', description: 'Path to file or directory', required: true}},
+		fn: async ({path}) => {
+			const {existsSync, lstatSync, readdirSync, readFileSync} = await import('fs');
+			const {join} = await import('path');
+			const normalizePath = p => p.replace(/\\/g, '/');
+
+			path = normalizePath(path);
+			if(whitelist && !whitelist.some(p => path.startsWith(p))) return {error: 'Permission denied'};
+
+			if(!existsSync(path)) return {error: 'Path does not exist'};
+			const stats = lstatSync(path);
+			if(stats.isDirectory()) {
+				const children = readdirSync(path).map(name => {
+					const childPath = normalizePath(join(path, name));
+					const childStats = lstatSync(childPath);
+					return {name, type: childStats.isDirectory() ? 'directory' : 'file', size: childStats.size};
+				});
+				return {type: 'directory', children};
+			}
+			const content = readFileSync(path, 'utf-8');
+			return {type: 'file', content};
+		}
+	}
+}
+
+export const FsSearchTool = (whitelist: null | string[] = null): AiTool => {
+	return {
+		name: 'fs_search',
+		description: 'Scan a directory for matching glob patterns (e.g. "**/*.js", "src/**/*.test.ts")',
+		args: {
+			pattern: {type: 'string', description: 'Glob pattern to match against paths', required: true},
+			root: {type: 'string', description: 'Directory to search from', required: false, default: '.'}
+		},
+		fn: async ({pattern, root = '.'}) => {
+			const {existsSync, lstatSync, readdirSync} = await import('fs');
+			const {join, relative} = await import('path');
+			const normalizePath = p => p.replace(/\\/g, '/');
+
+			root = normalizePath(root);
+			if(!existsSync(root)) return {error: 'Root path does not exist'};
+			if(!lstatSync(root).isDirectory()) return {error: 'Root path is not a directory'};
+
+			if(whitelist && !whitelist.some(p => root.startsWith(p))) return {error: 'Permission denied'};
+
+			const globToRegex = (glob) => {
+				let re = '';
+				for(let i = 0; i < glob.length; i++) {
+					const c = glob[i];
+					if(c === '*') {
+						if(glob[i + 1] === '*') {
+							const isSlash = glob[i + 2] === '/';
+							re += '.*';
+							i += isSlash ? 2 : 1;
+						} else {
+							re += '[^/]*';
+						}
+					} else if(c === '?') {
+						re += '[^/]';
+					} else if('.+^$(){}|[]\\'.includes(c)) {
+						re += '\\' + c;
+					} else {
+						re += c;
+					}
+				}
+				return new RegExp('^' + re + '$');
+			};
+			const regex = globToRegex(pattern);
+
+			const results: any = [];
+			const walk = (dir) => {
+				for(const name of readdirSync(dir)) {
+					const fullPath = normalizePath(join(dir, name));
+					const stats = lstatSync(fullPath);
+					const relPath = normalizePath(relative(root, fullPath));
+					if(regex.test(relPath)) {
+						results.push({path: relPath, type: stats.isDirectory() ? 'directory' : 'file', size: stats.size});
+					}
+					if(stats.isDirectory()) walk(fullPath);
+				}
+			};
+			walk(root);
+
+			return results;
+		}
+	}
+}
+
+export const FsWriteTool = (whitelist: null | string[] = null): AiTool => {
+	return {
+		name: 'fs_write',
+		description: 'Create a directory, write content to a file or preform a find & replace',
+		args: {
+			path: {type: 'string', description: 'Path to file or directory', required: true},
+			content: {type: 'string', description: 'Content to write or replace (Omit to create a directory)'},
+			find: {type: 'string', description: 'Text or regex pattern to match (regex must match pattern: "/pattern/g")'}
+		},
+		fn: async ({path, content, find}) => {
+			const {existsSync, mkdirSync, readFileSync, writeFileSync} = await import('fs');
+			const {dirname} = await import('path');
+			const normalizePath = p => p.replace(/\\/g, '/');
+
+			path = normalizePath(path);
+			if(whitelist && !whitelist.some(p => path.startsWith(p))) return {error: 'Permission denied'};
+
+			if(content === undefined) {
+				mkdirSync(path, {recursive: true});
+				return {success: true, type: 'directory', path};
+			}
+
+			const dir = normalizePath(dirname(path));
+			if(!existsSync(dir)) mkdirSync(dir, {recursive: true});
+
+			if(find && existsSync(path)) {
+				const existing = readFileSync(path, 'utf-8');
+				const regexMatch = find.match(/^\/(.+)\/([gimuy]*)$/);
+				const pattern = regexMatch ? new RegExp(regexMatch[1], regexMatch[2]) : find;
+
+				if(!existing.match(pattern)) return {error: 'Find pattern not found in file'};
+
+				const updated = existing.replace(pattern, content);
+				writeFileSync(path, updated, 'utf-8');
+				return {success: true, type: 'file', path, replaced: true, content: updated};
+			}
+
+			writeFileSync(path, content, 'utf-8');
+			return {success: true, type: 'file', path, content};
+		}
+	}
+}
+
+export const GetPathsTool: AiTool = {
+	name: 'get_paths',
+	description: 'Get the current working directory, and paths to the users home directory',
+	fn: async () => {
+		return {
+			home: os.homedir(),
+			cwd: process.cwd()
+		};
+	}
+}
+
+export const GetDatetimeTool: AiTool = {
+	name: 'get_datetime',
+	description: 'Get local/UTC timestamp',
+	args: {
+		timezone: {type: 'string', description: 'Which timezone to return, defaults to local', enum: ['local', 'utc'], default: 'local'}
+	},
+	fn: ({timezone}) => new Date()[timezone === 'local' ? 'toString' : 'toUTCString']()
+}
+
+export const GetDevice: AiTool = {
+	name: 'get_device',
+	description: 'Get comprehensive system information including hostname, specs, load, storage, and network status',
+	args: {},
+	fn: async () => {
+		const platform = os.platform();
+		const hostname = os.hostname();
+
+		// CPU Info
+		const cpus = os.cpus();
+		const cpuModel = cpus[0].model;
+		const cpuCores = cpus.length;
+
+		// Memory Info
+		const totalMem: any = (os.totalmem() / 1024 / 1024 / 1024).toFixed(2);
+		const freeMem: any = (os.freemem() / 1024 / 1024 / 1024).toFixed(2);
+		const usedMem: any = (totalMem - freeMem).toFixed(2);
+		const memUsage: any = ((usedMem / totalMem) * 100).toFixed(1);
+
+		// Load Average (not available on Windows)
+		const loadAvg = platform === 'win32' ? ['N/A', 'N/A', 'N/A'] : os.loadavg().map(l => l.toFixed(2));
+
+		// Storage Usage
+		let storage = {};
+		if(platform === 'win32') {
+			const ps = $Sync`powershell "Get-PSDrive C | Select-Object Used,Free | ConvertTo-Json"`.trim();
+			const drive = JSON.parse(ps);
+			const used: any = (drive.Used / 1024 / 1024 / 1024).toFixed(2);
+			const free: any = (drive.Free / 1024 / 1024 / 1024).toFixed(2);
+			const total: any = (parseFloat(used) + parseFloat(free)).toFixed(2);
+			const usage: any = ((used / total) * 100).toFixed(1);
+			storage = {
+				filesystem: 'C:',
+				size: `${total} GB`,
+				used: `${used} GB`,
+				available: `${free} GB`,
+				usage: `${usage}%`
+			};
+		} else {
+			const df = $Sync`df -h / | tail -1`.trim();
+			const s = df.split(/\s+/);
+			storage = {
+				filesystem: s[0],
+				size: s[1],
+				used: s[2],
+				available: s[3],
+				usage: s[4]
+			};
+		}
+
+		// Network Status
+		const interfaces = os.networkInterfaces();
+		const activeIfaces = Object.entries(interfaces)
+			.filter(([name]) => name !== 'lo' && !name.includes('Loopback'))
+			.map(([name, addrs]) => {
+				const ipv4 = addrs?.find(a => a.family === 'IPv4');
+				return ipv4 ? {name, ip: ipv4.address} : null;
+			})
+			.filter(Boolean);
+
+		// Internet connectivity check
+		let internet = false;
+		try {
+			if(platform === 'win32') {
+				$Sync`powershell "Test-Connection -ComputerName 8.8.8.8 -Count 1 -Quiet"`;
+			} else {
+				$Sync`ping -c 1 -W 2 8.8.8.8 > /dev/null 2>&1`;
+			}
+			internet = true;
+		} catch {}
+
+		// Uptime
+		const uptime = os.uptime();
+		const days = Math.floor(uptime / 86400);
+		const hours = Math.floor((uptime % 86400) / 3600);
+		const minutes = Math.floor((uptime % 3600) / 60);
+
+		return {
+			hostname,
+			cpu: {
+				model: cpuModel,
+				cores: cpuCores
+			},
+			memory: {
+				total: `${totalMem} GB`,
+				used: `${usedMem} GB`,
+				free: `${freeMem} GB`,
+				usage: `${memUsage}%`
+			},
+			load: {
+				'1min': loadAvg[0],
+				'5min': loadAvg[1],
+				'15min': loadAvg[2]
+			},
+			storage,
+			network: {
+				interfaces: activeIfaces,
+				internet: internet ? 'connected' : 'disconnected'
+			},
+			uptime: `${days}d ${hours}h ${minutes}m`,
+			platform: `${os.type()} ${os.release()}`
+		};
+	}
+}
+
+export const GetWikipediaTool: AiTool = {
+	name: 'get_wikipedia',
+	description: 'Search Wikipedia for matching articles',
+	args: {
+		query: {type: 'string', description: 'Search term or article title', required: true},
+		mode: {type: 'string', description: 'search - look for articles, summary - intro of first found article (default), full - complete first found article', enum: ['search', 'summary', 'full'], default: 'summary'},
+		ua: {type: 'string', description: 'User Agent'},
+	},
+	fn: async ({query, mode, ua}) => {
+		class WikipediaClient {
+			useragent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)';
+
+			constructor(useragent: string) {
+				this.useragent = useragent;
+			}
+
+			async get(url) {
+				const resp = await fetch(url, {headers: {'User-Agent': this.useragent}});
+				return resp.json();
+			}
+
+			api(params) {
+				const qs = new URLSearchParams({...params, format: 'json', utf8: '1'}).toString();
+				return this.get(`https://en.wikipedia.org/w/api.php?${qs}`);
+			}
+
+			clean(text) {
+				const cutoffs = ['== See also ==', '== References ==', '== Bibliography ==', '== External links =='];
+				for (const marker of cutoffs) {
+					const idx = text.indexOf(marker);
+					if (idx !== -1) text = text.slice(0, idx);
+				}
+
+				return text
+					.replace(/^={4}\s*(.+?)\s*={4}$/gm, '#### $1')
+					.replace(/^={3}\s*(.+?)\s*={3}$/gm, '### $1')
+					.replace(/^={2}\s*(.+?)\s*={2}$/gm, '## $1')
+					.replace(/\n{3,}/g, '\n\n')
+					.replace(/ {2,}/g, ' ')
+					.replace(/\[\d+]/g, '')
+					.trim();
+			}
+
+			async searchTitles(query: string, limit = 6) {
+				const data = await this.api({action: 'query', list: 'search', srsearch: query, srlimit: limit, srprop: 'snippet'});
+				return data.query?.search || [];
+			}
+
+			async fetchExtract(title: string, introOnly = false) {
+				const params: any = {action: 'query', prop: 'extracts', titles: title, explaintext: 1, redirects: 1};
+				if(introOnly) params.exintro = 1;
+				const data = await this.api(params);
+				const page: any = Object.values(data.query?.pages || {})[0];
+				return this.clean(page?.extract || '');
+			}
+
+			pageUrl(title: string) {
+				return `https://en.wikipedia.org/wiki/${encodeURIComponent(title.replace(/ /g, '_'))}`;
+			}
+
+			stripHtml(text: string) {
+				return text.replace(/<[^>]+>/g, '');
+			}
+
+			async lookup(query: string, detail = 'summary') {
+				const results = await this.searchTitles(query, 6);
+				if(!results.length) return `❌ No Wikipedia articles found for "${query}"`;
+				const title = results[0].title;
+				const url = this.pageUrl(title);
+				const introOnly = detail !== 'full';
+				const content = await this.fetchExtract(title, introOnly);
+				return `## ${title}\n🔗 ${url}\n\n${content}`;
+			}
+
+			async search(query: string) {
+				const results = await this.searchTitles(query, 8);
+				if(!results.length) return `❌ No results for "${query}"`;
+				const lines = [`### Search results for "${query}"\n`];
+				for(let i = 0; i < results.length; i++) {
+					const r = results[i];
+					const snippet = this.stripHtml(r.snippet || '').trim();
+					lines.push(`**${i + 1}. ${r.title}**\n${snippet}\n${this.pageUrl(r.title)}`);
+				}
+				return lines.join('\n\n');
+			}
+		}
+
+		const wiki = new WikipediaClient(ua);
+		if(mode === 'search') return wiki.search(query);
+		return wiki.lookup(query, mode || 'summary');
+	}
+};
+
+export const GeoCodeTool: AiTool = {
+	name: 'geo_code',
+	description: 'Converts coordinates to address OR vice versa',
+	args: {
+		query: {type: 'string', description: 'Search query - coordinates (lat,lon) or address string', required: true},
+	},
+	fn: async ({query}) => {
+		const coordinates = /(-?\d+(?:\.\d+)?).*?,.*?(-?\d+(?:\.\d+)?)/.exec(query);
+		if(coordinates) { // Geolocate
+			const url = `https://nominatim.openstreetmap.org/reverse?format=json&lat=${encodeURIComponent(coordinates[1])}&lon=${encodeURIComponent(coordinates[2])}`;
+			const response = await fetch(url, {headers: {'User-Agent': 'OpenSight/1.0', 'Accept-Language': 'en'}});
+			const data = await response.json();
+			if(data.display_name) return {address: data.display_name, mode: 'geolocate'};
+		} else { // Geocode
+			const url = `https://nominatim.openstreetmap.org/search?format=json&q=${encodeURIComponent(query)}`;
+			const response = await fetch(url, {headers: {'User-Agent': 'OpenSight/1.0'}});
+			const data = await response.json();
+			if(data[0]) return {latitude: parseFloat(data[0].lat), longitude: parseFloat(data[0].lon), mode: 'geocode'};
+		}
+		return {error: 'Not found'};
+	},
+}
+
+export const GeoWeatherTool: AiTool = {
+	name: 'geo_weather',
+	description: 'Gets weather and air quality info for a location and time',
+	args: {
+		query: {type: 'string', description: 'Location - address or place name', required: true},
+		day: {type: 'string', description: 'Date to retrieve (YYYY-MM-DD), defaults to today'},
+	},
+	fn: async ({query, day}) => {
+		day = day || new Date().toISOString().slice(0, 10);
+
+		const geoUrl = `https://nominatim.openstreetmap.org/search?format=json&q=${encodeURIComponent(query)}`;
+		const geoResponse = await fetch(geoUrl, {headers: {'User-Agent': 'OpenSight/1.0'}});
+		const geoData = await geoResponse.json();
+		if(!geoData[0]) return {error: 'Location not found'};
+
+		const lat = parseFloat(geoData[0].lat);
+		const lon = parseFloat(geoData[0].lon);
+
+		const weatherUrl = `https://api.open-meteo.com/v1/forecast?latitude=${lat}&longitude=${lon}&start_date=${day}&end_date=${day}&daily=weathercode,temperature_2m_max,temperature_2m_min,apparent_temperature_max,apparent_temperature_min,precipitation_sum,precipitation_probability_max,windspeed_10m_max,winddirection_10m_dominant,uv_index_max,sunrise,sunset&timezone=auto`;
+		const airUrl = `https://air-quality-api.open-meteo.com/v1/air-quality?latitude=${lat}&longitude=${lon}&start_date=${day}&end_date=${day}&hourly=us_aqi,european_aqi,pm10,pm2_5&timezone=auto`;
+
+		const [weatherResponse, airResponse] = await Promise.all([fetch(weatherUrl), fetch(airUrl)]);
+		const weatherData = await weatherResponse.json();
+		const airData = await airResponse.json();
+
+		const avg = arr => (arr && arr.length) ? arr.reduce((a, b) => a + b, 0) / arr.length : null;
+
+		return {
+			location: geoData[0].display_name,
+			latitude: lat,
+			longitude: lon,
+			elevation: weatherData.elevation,
+			date: day,
+			weatherCode: weatherData.daily?.weathercode?.[0],
+			tempMax: weatherData.daily?.temperature_2m_max?.[0],
+			tempMin: weatherData.daily?.temperature_2m_min?.[0],
+			feelsLikeMax: weatherData.daily?.apparent_temperature_max?.[0],
+			feelsLikeMin: weatherData.daily?.apparent_temperature_min?.[0],
+			precipitation: weatherData.daily?.precipitation_sum?.[0],
+			precipitationChance: weatherData.daily?.precipitation_probability_max?.[0],
+			windSpeedMax: weatherData.daily?.windspeed_10m_max?.[0],
+			windDirection: weatherData.daily?.winddirection_10m_dominant?.[0],
+			uvIndexMax: weatherData.daily?.uv_index_max?.[0],
+			sunrise: weatherData.daily?.sunrise?.[0],
+			sunset: weatherData.daily?.sunset?.[0],
+			usAqi: avg(airData.hourly?.us_aqi),
+			europeanAqi: avg(airData.hourly?.european_aqi),
+			pm10: avg(airData.hourly?.pm10),
+			pm2_5: avg(airData.hourly?.pm2_5),
+		};
+	},
+}
+
+export const WebFetchTool: AiTool = {
+	name: 'web_fetch',
 	description: 'Make HTTP request to URL',
 	args: {
 		url: {type: 'string', description: 'URL to fetch', required: true},
@@ -149,30 +637,59 @@ export const FetchTool: AiTool = {
 	}) => new Http({url: args.url, headers: args.headers}).request({method: args.method || 'GET', body: args.body})
 }

-export const JSTool: AiTool = {
-	name: 'exec_javascript',
-	description: 'Execute commonjs javascript',
+export const WebFlareSolverTool = (host: string) => {
+	return {
+		name: 'web_flaresolverr',
+		description: 'Use a flaresolverr proxy to bypass cloudflare bot detection',
 		args: {
-		code: {type: 'string', description: 'CommonJS javascript', required: true}
+			url: {type: 'string', description: 'URL to fetch', required: true},
+			cmd: {type: 'string', description: 'Flaresolverr cmd', enum: ['request.get', 'request.post'], default: 'request.get'},
+			maxTimeout: {type: 'number', description: 'Fetch time limit', default: 60_000},
+			postData: {type: 'object', description: 'Data to send during request.post requests'},
 		},
-	fn: async (args: {code: string}) => {
-		const c = consoleInterceptor(null);
-		const resp = await Fn<any>({console: c}, args.code, true).catch((err: any) => c.output.error.push(err));
-		return {...c.output, return: resp, stdout: undefined, stderr: undefined};
+		fn: async ({url, cmd, maxTimeout, postData}) => {
+			function toFormUrlEncoded(obj, prefix = '') {
+				const pairs: any = [];
+				for (const key in obj) {
+					if (!obj.hasOwnProperty(key)) continue;
+
+					const value = obj[key];
+					const encodedKey = prefix
+						? `${prefix}[${encodeURIComponent(key)}]`
+						: encodeURIComponent(key);
+
+					if (value === null || value === undefined) {
+						pairs.push(`${encodedKey}=`);
+					} else if (typeof value === 'object' && !Array.isArray(value)) {
+						pairs.push(toFormUrlEncoded(value, encodedKey));
+					} else if (Array.isArray(value)) {
+						value.forEach(item => {
+							pairs.push(`${encodedKey}[]=${encodeURIComponent(item)}`);
+						});
+					} else {
+						pairs.push(`${encodedKey}=${encodeURIComponent(value)}`);
 					}
 				}

-export const PythonTool: AiTool = {
-	name: 'exec_python',
-	description: 'Execute commonjs javascript',
-	args: {
-		code: {type: 'string', description: 'CommonJS javascript', required: true}
-	},
-	fn: async (args: {code: string}) => ({result: $Sync`python -c "${args.code}"`})
+				return pairs.join('&');
 			}

-export const ReadWebpageTool: AiTool = {
-	name: 'read_webpage',
+			const res = await fetch(host + '/v1', {
+				method: 'POST',
+				headers: {'Content-Type': 'application/json'},
+				body: JSON.stringify({cmd, url, maxTimeout, postData: postData ? toFormUrlEncoded(postData) : undefined}),
+			});
+
+			if(!res.ok) throw new Error(`FlareSolverr HTTP error: ${res.status} ${res.statusText}`);
+			const data = await res.json();
+			if(data.status !== 'ok') throw new Error(`FlareSolverr error: ${data.message ?? data.status}`);
+			return data.solution.response;
+		}
+	}
+}
+
+export const WebReadTool: AiTool = {
+	name: 'web_read',
 	description: 'Extract clean content from webpages, or convert media/documents to accessible formats',
 	args: {
 		url: {type: 'string', description: 'URL to read', required: true},
@@ -300,91 +817,3 @@ export const WebSearchTool: AiTool = {
 		return results;
 	}
 }
-
-export const WikipediaTool: AiTool = {
-	name: 'wikipedia_search',
-	description: 'Search Wikipedia for matching articles',
-	args: {
-		query: {type: 'string', description: 'Search term or article title', required: true},
-		mode: {type: 'string', description: 'search - look for articles, summary - intro of first found article (default), full - complete first found article', enum: ['search', 'summary', 'full'], default: 'summary'}
-	},
-	fn: async (args: {query: string, mode: 'search' | 'summary' | 'full'}) => {
-		const UA = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)';
-
-		class WikipediaClient {
-			async get(url: string) {
-				const resp = await fetch(url, {headers: {'User-Agent': UA}});
-				return resp.json();
-			}
-
-			api(params: any) {
-				const qs = new URLSearchParams({...params, format: 'json', utf8: '1'}).toString();
-				return this.get(`https://en.wikipedia.org/w/api.php?${qs}`);
-			}
-
-			clean(text: string) {
-				const cutoffs = ['== See also ==', '== References ==', '== Bibliography ==', '== External links =='];
-				for (const marker of cutoffs) {
-					const idx = text.indexOf(marker);
-					if (idx !== -1) text = text.slice(0, idx);
-				}
-
-				return text
-					.replace(/^={4}\s*(.+?)\s*={4}$/gm, '#### $1')
-					.replace(/^={3}\s*(.+?)\s*={3}$/gm, '### $1')
-					.replace(/^={2}\s*(.+?)\s*={2}$/gm, '## $1')
-					.replace(/\n{3,}/g, '\n\n')
-					.replace(/ {2,}/g, ' ')
-					.replace(/\[\d+\]/g, '')
-					.trim();
-			}
-
-			async searchTitles(query: string, limit = 6) {
-				const data = await this.api({action: 'query', list: 'search', srsearch: query, srlimit: limit, srprop: 'snippet'});
-				return data.query?.search || [];
-			}
-
-			async fetchExtract(title: string, introOnly = false) {
-				const params: any = {action: 'query', prop: 'extracts', titles: title, explaintext: 1, redirects: 1};
-				if(introOnly) params.exintro = 1;
-				const data = await this.api(params);
-				const page: any = Object.values(data.query?.pages || {})[0];
-				return this.clean(page?.extract || '');
-			}
-
-			pageUrl(title: string) {
-				return `https://en.wikipedia.org/wiki/${encodeURIComponent(title.replace(/ /g, '_'))}`;
-			}
-
-			stripHtml(text: string) {
-				return text.replace(/<[^>]+>/g, '');
-			}
-
-			async lookup(query: string, detail = 'summary') {
-				const results = await this.searchTitles(query, 6);
-				if(!results.length) return `❌ No Wikipedia articles found for "${query}"`;
-				const title = results[0].title;
-				const url = this.pageUrl(title);
-				const introOnly = detail !== 'full';
-				const content = await this.fetchExtract(title, introOnly);
-				return `## ${title}\n🔗 ${url}\n\n${content}`;
-			}
-
-			async search(query: string) {
-				const results = await this.searchTitles(query, 8);
-				if(!results.length) return `❌ No results for "${query}"`;
-				const lines = [`### Search results for "${query}"\n`];
-				for(let i = 0; i < results.length; i++) {
-					const r = results[i];
-					const snippet = this.stripHtml(r.snippet || '').trim();
-					lines.push(`**${i + 1}. ${r.title}**\n${snippet}\n${this.pageUrl(r.title)}`);
-				}
-				return lines.join('\n\n');
-			}
-		}
-
-		const wiki = new WikipediaClient();
-		if(args.mode == 'search') return wiki.search(args.query);
-		return wiki.lookup(args.query, args.mode || 'summary');
-	}
-};
Author	SHA1	Message	Date
ztimson	d022a5ef4d	Improved levenshtein fuzzy match All checks were successful Publish Library / Build NPM Project (push) Successful in 52s Details Publish Library / Tag Version (push) Successful in 17s Details	2026-08-01 12:00:26 -04:00
ztimson	a1d438a20a	Tools can now emit "done" event and end chat early gracefully All checks were successful Publish Library / Build NPM Project (push) Successful in 1m0s Details Publish Library / Tag Version (push) Successful in 9s Details	2026-07-31 17:49:06 -04:00
ztimson	52a9e3aaa4	Fixed history poisoning on empty tool response All checks were successful Publish Library / Build NPM Project (push) Successful in 51s Details Publish Library / Tag Version (push) Successful in 13s Details	2026-07-30 22:12:49 -04:00
ztimson	a7aec4ee29	Improved memory prompt slightly All checks were successful Publish Library / Build NPM Project (push) Successful in 1m9s Details Publish Library / Tag Version (push) Successful in 19s Details	2026-07-30 16:00:03 -04:00
ztimson	dda2d4c2a3	Bump 1.2.8 All checks were successful Publish Library / Build NPM Project (push) Successful in 49s Details Publish Library / Tag Version (push) Successful in 7s Details	2026-07-29 22:35:29 -04:00
ztimson	58e0e488e4	Added Geo, FS and flarescraperr tools Some checks failed Publish Library / Tag Version (push) Has been cancelled Details Publish Library / Build NPM Project (push) Has been cancelled Details	2026-07-29 22:34:51 -04:00
ztimson	8dfcd06752	More memory fixes All checks were successful Publish Library / Build NPM Project (push) Successful in 43s Details Publish Library / Tag Version (push) Successful in 14s Details	2026-07-29 22:11:09 -04:00
ztimson	14f6cdd313	Personal file memory organization instructions All checks were successful Publish Library / Build NPM Project (push) Successful in 33s Details Publish Library / Tag Version (push) Successful in 12s Details	2026-07-27 22:47:48 -04:00
ztimson	73d6ee0f2a	Personal file memory organization instructions All checks were successful Publish Library / Build NPM Project (push) Successful in 45s Details Publish Library / Tag Version (push) Successful in 12s Details	2026-07-27 22:39:06 -04:00
ztimson	bee4085666	updatememory awaits full result Some checks failed Publish Library / Tag Version (push) Has been cancelled Details Publish Library / Build NPM Project (push) Has been cancelled Details	2026-07-27 22:34:36 -04:00
ztimson	3b5c71de7c	Improved memory management All checks were successful Publish Library / Build NPM Project (push) Successful in 40s Details Publish Library / Tag Version (push) Successful in 14s Details	2026-07-27 20:10:09 -04:00