Improved memory management
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This commit is contained in:
2026-07-27 20:10:09 -04:00
parent 8229e02a52
commit 3b5c71de7c
2 changed files with 386 additions and 249 deletions

View File

@@ -1,6 +1,6 @@
{
"name": "@ztimson/ai-utils",
"version": "1.2.3",
"version": "1.2.4",
"description": "AI Utility library",
"author": "Zak Timson",
"license": "MIT",

View File

@@ -7,8 +7,6 @@ export type Memory = {
description: string;
content: string;
embedding: number[];
links: string[];
backlinks: string[];
}
type MemoryRef = {
@@ -19,6 +17,7 @@ type MemoryRef = {
type FactBucket = {
subject: string;
facts: string[];
isNew: boolean;
}
export type MemoryNode = {
@@ -33,26 +32,31 @@ export function buildMemoryGraph(memories: Memory[] | MemoryCache): MemoryNode[]
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) {
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 [
...mems.map(m => ({
name: m.name,
missing: false,
links: m.links,
backlinks: m.backlinks,
})),
...nodes,
...[...ghosts].map(name => ({
name,
missing: true,
links: [],
backlinks: mems
.filter(m => m.links.includes(name))
.map(m => m.name),
backlinks: nodes
.filter(n => n.links.includes(name))
.map(n => n.name),
}))
];
}
@@ -62,14 +66,21 @@ function extractLinks(content: string): string[] {
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(/^"|"$/g, '')).filter(Boolean);
};
return {
links: getList('links'),
backlinks: getList('backlinks'),
};
}
function cosineDistance(a: number[], b: number[]): number {
@@ -83,9 +94,53 @@ function cosineDistance(a: number[], b: number[]): number {
return denom === 0 ? 1 : 1 - dot / denom;
}
function getWeekMonday(date: Date = new Date()): string {
const d = new Date(Date.UTC(date.getFullYear(), date.getMonth(), date.getDate()));
const day = d.getUTCDay();
const diff = day === 0 ? -6 : 1 - day;
d.setUTCDate(d.getUTCDate() + diff);
return d.toISOString().slice(0, 10);
}
function getWeekSunday(monday: string): string {
const d = new Date(`${monday}T00:00:00Z`);
d.setUTCDate(d.getUTCDate() + 6);
return d.toISOString().slice(0, 10);
}
function tagsFromName(name: string): string[] {
const prefix = name.split('/')[0];
return prefix ? [prefix.toLowerCase()] : [];
}
export function serializeMemory(mem: Memory, week?: {monday: string, sunday: string}): string {
return mem.content;
}
export function deserializeMemory(raw: string, embedding: number[] = []): Memory {
const match = raw.match(/^---\n([\s\S]*?)\n---\n\n?([\s\S]*)$/);
if (!match) {
return {name: '', description: '', content: raw.trim(), embedding};
}
const [, fm] = match;
const get = (key: string): string => {
const m = fm.match(new RegExp(`^${key}:\\s*(.+)$`, 'm'));
return m ? m[1].trim() : '';
};
return {
name: get('name'),
description: get('description'),
content: raw.trim(),
embedding,
};
}
export class MemoryCache {
private tree: KDTree<MemoryRef>;
public memories: Memory[];
private locks = new Map<string, Promise<void>>();
constructor(memories: Memory[]) {
this.memories = memories;
@@ -125,16 +180,38 @@ export class MemoryCache {
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();
}
rebuildLinks(): void {
rebuildBacklinks(this.memories);
lock<T>(name: string, fn: () => Promise<T>): Promise<T> {
const prev = this.locks.get(name) ?? Promise.resolve();
let resolveLock!: () => void;
const next = new Promise<void>(r => { resolveLock = r; });
this.locks.set(name, next);
const result = prev.then(fn).finally(resolveLock);
result.finally(() => {
if (this.locks.get(name) === next) this.locks.delete(name);
});
return result;
}
}
export class MemoryManager {
private pendingMemorizations = new Map<string, {
memories: Memory[] | MemoryCache,
tempMemoryName: string,
timestamp: number,
}>();
tools = {
read: (memories: Memory[] | MemoryCache): AiTool => ({
@@ -147,19 +224,78 @@ 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: 'forget_memory',
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},
reason: {type: 'string', description: 'Why this memory is being deleted', required: true},
},
fn: (args: any) => {
const result = this.forget(args.name, memories);
return result ? `Forgotten: ${args.name}` : `Not found: ${args.name}`;
},
}),
};
constructor(private llm: any) {}
private async createTempMemory(conversation: string): Promise<Memory> {
const [e] = await this.llm.embedding(conversation);
const timestamp = Date.now();
return {
name: `_temp_${timestamp}`,
description: 'Temporary memory - processing in background',
content: `---
name: _temp_${timestamp}
description: Temporary memory - processing in background
tags: [_temporary]
links: []
backlinks: []
modified: ${new Date().toISOString()}
---
# Recent Conversation (Processing)
${conversation}`,
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);
@@ -174,22 +310,9 @@ export class MemoryManager {
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 +320,7 @@ 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 +336,8 @@ 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);
@@ -231,97 +356,160 @@ export class MemoryManager {
}
async memorize(history: LLMMessage[], memories: Memory[] | MemoryCache, options: LLMRequest): Promise<void> {
const mem = memories instanceof MemoryCache ? memories.memories : memories;
const conversation = history
.filter(h => h.role === 'user' || h.role === 'assistant')
.map(h => `[${h.role}]: ${h.content}`).join('\n\n').trim();
if(conversation) {
const buckets = await this.factAgent(conversation, mem, options);
if(buckets.length) {
await Promise.all(buckets.map(async bucket => {
const node = await this.organizingAgent(bucket, mem, options);
if(!mem.find(m => m.name === node.name)) mem.push(node);
await this.docAgent(node, bucket, mem, options);
}));
}
}
if (!conversation) return;
// Auto-compress old journals
const weekAgo = Date.now() - (7 * 24 * 60 * 60 * 1000);
const oldDailies = mem.filter(m => {
const journal = /^Journal\/(\d{4}-\d{2}-\d{2}$)/.exec(m.name);
return journal && new Date(journal[1]).getTime() < weekAgo;
});
const trackingId = `${Date.now()}_${Math.random()}`;
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}$/);
if(!match) continue;
const monthKey = match[1];
if(!byMonth.has(monthKey)) byMonth.set(monthKey, []);
byMonth.get(monthKey)!.push(daily);
}
for(const [monthKey, entries] of byMonth) {
const monthlyPath = `Journal/${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);
}
}
}
// Create and insert temp memory immediately
const tempMemory = await this.createTempMemory(conversation);
const mem = memories instanceof MemoryCache ? memories.memories : memories;
mem.push(tempMemory);
if (memories instanceof MemoryCache) {
memories.rebuildLinks();
memories.rebuild();
} else {
rebuildBacklinks(mem);
}
this.pendingMemorizations.set(trackingId, {
memories,
tempMemoryName: tempMemory.name,
timestamp: Date.now(),
});
this._memorizeBackground(conversation, memories, options, trackingId)
.catch(err => {
console.error('[memorize] Background memorization failed:', err);
})
.finally(() => {
// Remove temp memory from the exact same memory array/cache
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);
console.log(`[memorize] Removed temp memory: ${pending.tempMemoryName}`);
}
if (pending.memories instanceof MemoryCache) {
pending.memories.rebuild();
}
}
this.pendingMemorizations.delete(trackingId);
});
}
private async _memorizeBackground(conversation: string, memories: Memory[] | MemoryCache, options: LLMRequest, trackingId: string): Promise<void> {
const mem = memories instanceof MemoryCache ? memories.memories : memories;
const monday = getWeekMonday();
const sunday = getWeekSunday(monday);
const weekKey = monday;
console.log('[memorize] Starting fact extraction...');
const buckets = await this.factAgent(conversation, mem, options, weekKey);
console.log(`[memorize] Extracted ${buckets.length} buckets:`, buckets);
if (!buckets.length) {
console.log('[memorize] No facts extracted, exiting');
return;
}
const runDocAgent = (node: Memory, bucket: FactBucket, embedding?: number[], week?: {monday: string, sunday: string}) => {
if (memories instanceof MemoryCache) {
return memories.lock(node.name, () => this.docAgent(node, bucket, mem, options, embedding, week));
}
return this.docAgent(node, bucket, mem, options, embedding, week);
};
await Promise.all(buckets.map(async bucket => {
let node = mem.find(m => m.name === bucket.subject && !m.name.startsWith('_temp_'));
let embedding: number[] | undefined;
if (!node || bucket.isNew) {
const [e] = await this.llm.embedding(`${bucket.subject}\n${bucket.facts.join('\n')}`);
embedding = e?.embedding;
if (!node) {
node = this.createNode(bucket.subject, mem);
mem.push(node);
}
}
private async docAgent(node: Memory, bucket: FactBucket, memories: Memory[], options: LLMRequest): Promise<void> {
const week = bucket.subject.startsWith('Journal/') ? {monday, sunday} : undefined;
await runDocAgent(node, bucket, embedding, week);
}));
if (memories instanceof MemoryCache) {
memories.rebuild();
}
console.log('[memorize] Completed successfully');
}
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: ${new Date().toISOString()}`,
'---',
].filter(Boolean);
return lines.join('\n');
}
private applyHeader(content: string, header: string): string {
const hasFrontmatter = content.trimStart().startsWith('---');
if (hasFrontmatter) {
return content.replace(/^---[\s\S]*?---\n?/, `${header}\n`);
}
return `${header}\n\n${content}`;
}
private updateFrontmatter(content: string, updates: {links?: string[], backlinks?: string[]}): string {
const match = content.match(/^---\n([\s\S]*?)\n---\n\n?([\s\S]*)$/);
if (!match) return content;
const [, fm, body] = match;
let newFm = fm;
if (updates.links !== undefined) {
const linksList = updates.links.length ? `[${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${body}`;
}
private stripHeader(content: string): string {
return content.replace(/^---[\s\S]*?---\n?/, '').trimStart();
}
private async docAgent(node: Memory, bucket: FactBucket, memories: Memory[], options: LLMRequest, precomputedEmbedding?: number[], week?: {monday: string, sunday: string}): Promise<void> {
const {links: oldLinks} = extractMetadata(node.content);
let finalContent = node.content;
const isJournalCompression = node.name.match(/^Journal\/\d{4}-\d{2}$/);
const systemPrompt = isJournalCompression
? `You are a journal compressor. Condense the daily entries below into a monthly summary.
Format:
# ${node.name}
## Themes
(Recurring topics, moods, patterns)
## Key Events
(Important moments, decisions, milestones)
## Notable Conversations
(Significant discussions or revelations)
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
Current monthly summary:
\`\`\`markdown
${node.content || '(empty — first compression for this month)'}
\`\`\``
: `You are a knowledge base editor. Integrate the provided facts into the document below.
await this.llm.ask(
`New facts to integrate:\n${bucket.facts.map(f => `- ${f}`).join('\n')}`,
{
model: options.model,
temperature: 0.3,
system: `You are a knowledge base editor. Integrate the provided facts into the document below.
Formatting rules:
- Use Obsidian-style markdown: # headings, **bold** for key terms, bullet lists for facts
@@ -330,49 +518,77 @@ Formatting rules:
- 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
- The document begins with a YAML frontmatter block (between --- markers) — do not remove or rewrite it, it is maintained automatically
${week ? '- This is a weekly journal entry. The frontmatter contains the week date range.\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',
description: 'Write the complete updated document content. Include everything after the frontmatter block — the frontmatter will be recalculated automatically.',
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},
content: {type: 'string', description: 'Document body in markdown, without the frontmatter block', required: true},
},
fn: (args: any) => {
node.description = args.description;
finalContent = args.content;
return 'Saved';
}
}]
},
}],
}
);
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);
const newLinks = extractLinks(finalContent).filter(l => l !== node.name);
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);
const header = this.buildHeader(node, week, newLinks, backlinks);
node.content = this.applyHeader(finalContent, header);
if (precomputedEmbedding) {
node.embedding = precomputedEmbedding;
} else {
const embedInput = `${node.description}\n\n${this.stripHeader(node.content)}`.trim();
const [e] = await this.llm.embedding(embedInput);
if (e) node.embedding = e.embedding;
}
}
private async factAgent(conversation: string, memories: Memory[], options: LLMRequest): Promise<FactBucket[]> {
private async factAgent(conversation: string, memories: Memory[], options: LLMRequest, weekKey: string): Promise<FactBucket[]> {
const buckets: FactBucket[] = [];
const today = new Date().toISOString().split('T')[0];
console.log('[factAgent] Starting extraction...');
await this.llm.ask(conversation, {
model: options.model,
@@ -386,116 +602,37 @@ Rules:
- DO NOT extract greetings, pleasantries, or generic exchanges
- If nothing worth remembering was said, do not call any tools
**Organizational patterns:**
- Journal entries use paths like: Journal/${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.
When extracting facts, you MUST also decide the exact destination path:
- Use an existing node name if the facts clearly belong there
- Create a new path following collection/subject format if needed (e.g., People/Sarah, Projects/Oxide)
- For journal entries, use "journal" (will auto-route to Journal/${weekKey})
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):
Available nodes:
${this.listNodes(memories).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}`,
tools: [{
name: 'extract_facts',
description: 'Submit a group of related facts for a specific subject',
description: 'Submit facts with their destination',
args: {
subject: {type: 'string', description: 'Full path for the subject (e.g., "Journal/2025-01-27", "People/Sarah", "Projects/Website")', required: true},
facts: {type: 'string', description: 'Comma-separated list of extracted facts', required: true},
destination: {type: 'string', description: 'Exact existing node name OR new path (e.g. "People/Sarah", "Projects/Oxide")', required: true},
facts: {type: 'string', description: 'Comma-separated facts', required: true},
create_new: {type: 'boolean', description: 'True if this is a new node that doesn\'t exist yet', required: true},
},
fn: (args: any) => {
console.log('[factAgent] Tool called with:', args);
const subject = args.destination.trim().toLowerCase() === 'journal'
? `Journal/${weekKey}`
: args.destination;
buckets.push({
subject: args.subject,
subject,
facts: args.facts.split(',').map((f: string) => f.trim()).filter(Boolean),
isNew: args.create_new,
});
return 'Recorded';
}
}]
},
}],
});
console.log(`[factAgent] Extracted ${buckets.length} buckets:`, buckets);
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.
Available nodes:
${candidates.map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None — create a new node.'}`,
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',
args: {
name: {type: 'string', description: 'Full path for the new node (e.g., "People/Sarah", "Journal/2025-01-27")', required: true}
},
fn: ({name}) => {
home = name;
mode = 'create';
resp.abort();
}
}]
});
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);
}
}