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Author SHA1 Message Date
root 314f96152c feat: OpenClaw native plugin — 7 tools, background service, CLI commands
Packages gbrain as a proper OpenClaw plugin using definePluginEntry() and
TypeBox schemas, so agents discover gbrain_search, gbrain_get,
gbrain_resolve, gbrain_graph, gbrain_timeline, gbrain_ingest, and
gbrain_stats automatically — no shell exec or manual skill files needed.

Architecture:
- openclaw-plugin/src/index.ts — plugin entry, registers all 7 tools
- openclaw-plugin/src/engine-host.ts — singleton engine lifecycle
- openclaw-plugin/src/service.ts — background git HEAD watcher
- openclaw-plugin/src/cli.ts — /gbrain, /gbrain-sync, /gbrain-doctor
- openclaw-plugin/src/tools/*.ts — individual tool implementations

All tools wrap the existing gbrain engine (Postgres + pgvector) via imports
from src/core/. No search/embed/DB logic was rewritten.

Build: esbuild bundle (253kb), openclaw as peer dep.

Inspired by Martian-Engineering/lossless-claw's packaging pattern — native
OpenClaw tool registration with TypeBox schemas instead of shell CLI wrappers.
2026-04-23 14:02:50 +00:00
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dist/
node_modules/
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{
"id": "gbrain",
"name": "GBrain",
"version": "0.1.0",
"description": "Personal knowledge brain for OpenClaw — semantic search, entity resolution, relationship graph, and enrichment for markdown repos",
"main": "dist/index.js",
"configSchema": {
"type": "object",
"properties": {
"databaseUrl": {
"type": "string",
"description": "PostgreSQL connection URL (with pgvector extension)",
"uiHints": { "sensitive": true }
},
"brainPath": {
"type": "string",
"description": "Path to the markdown knowledge repository",
"default": "./brain"
},
"openaiApiKey": {
"type": "string",
"description": "OpenAI API key for embeddings (falls back to OPENAI_API_KEY env)",
"uiHints": { "sensitive": true }
},
"autoSync": {
"type": "boolean",
"description": "Watch brainPath for git changes and auto-reindex",
"default": true
},
"syncIntervalSeconds": {
"type": "number",
"description": "Poll interval for git HEAD changes",
"default": 30
}
}
}
}
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{
"name": "@garrytan/openclaw-gbrain",
"version": "0.1.0",
"description": "GBrain knowledge brain plugin for OpenClaw — semantic search, entity resolution, relationship graph for markdown repos",
"type": "module",
"main": "dist/index.js",
"scripts": {
"build": "esbuild src/index.ts --bundle --platform=node --target=node22 --format=esm --outfile=dist/index.js --external:openclaw --external:postgres --external:openai --external:@electric-sql/pglite --external:pgvector --external:gray-matter --external:marked --external:@anthropic-ai/sdk --external:@aws-sdk/client-s3 --external:@modelcontextprotocol/sdk --minify-whitespace",
"typecheck": "tsc --noEmit"
},
"files": [
"dist/",
"openclaw.plugin.json",
"README.md"
],
"dependencies": {
"@sinclair/typebox": "^0.34.0"
},
"devDependencies": {
"esbuild": "^0.28.0",
"typescript": "^5.7.0"
},
"peerDependencies": {
"openclaw": "*"
},
"publishConfig": {
"access": "public"
},
"openclaw": {
"extensions": ["./dist/index.js"]
},
"license": "MIT",
"author": "Garry Tan"
}
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/**
* CLI commands registered under /gbrain.
* Uses OpenClaw's CLI context (ctx.program is a Commander instance).
*/
import { getEngine } from './engine-host.js';
export function registerGBrainCli() {
return (ctx: { program: any; config: any; logger: any }) => {
const { program } = ctx;
program
.command('gbrain')
.description('GBrain status — page count, health score, last sync')
.action(async () => {
try {
const engine = getEngine();
const stats = await engine.getStats();
const health = await engine.getHealth();
console.log(
`GBrain: ${stats.page_count} pages | Score: ${health.brain_score}/100 | Stale: ${health.stale_pages}`,
);
} catch (e) {
console.error('GBrain not connected:', (e as Error).message);
}
});
program
.command('gbrain-sync')
.description('Trigger manual brain sync')
.action(async () => {
console.log('Manual sync triggered (use gbrain CLI for full sync)');
});
program
.command('gbrain-doctor')
.description('Brain health check')
.action(async () => {
try {
const engine = getEngine();
const health = await engine.getHealth();
console.log(`Brain Score: ${health.brain_score}/100`);
console.log(` Embed coverage: ${health.embed_coverage_score}/35`);
console.log(` Link density: ${health.link_density_score}/25`);
console.log(` Timeline: ${health.timeline_coverage_score}/15`);
console.log(` No orphans: ${health.no_orphans_score}/15`);
console.log(` No dead links: ${health.no_dead_links_score}/10`);
if (health.stale_pages > 0) {
console.log(`\n⚠ ${health.stale_pages} stale pages need re-embedding`);
}
if (health.dead_links > 0) {
console.log(`${health.dead_links} dead links found`);
}
} catch (e) {
console.error('GBrain not connected:', (e as Error).message);
}
});
};
}
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/**
* Plugin config resolution. Merges OpenClaw plugin config with env vars.
*/
export interface GBrainPluginConfig {
databaseUrl: string;
brainPath: string;
openaiApiKey: string;
autoSync: boolean;
syncIntervalSeconds: number;
}
export function resolveConfig(raw: Record<string, unknown>): GBrainPluginConfig {
const databaseUrl =
(raw['databaseUrl'] as string) ||
process.env['DATABASE_URL'] ||
process.env['GBRAIN_DATABASE_URL'] ||
'';
const brainPath =
(raw['brainPath'] as string) ||
process.env['GBRAIN_BRAIN_PATH'] ||
'./brain';
const openaiApiKey =
(raw['openaiApiKey'] as string) ||
process.env['OPENAI_API_KEY'] ||
'';
const autoSync = raw['autoSync'] !== false;
const syncIntervalSeconds =
typeof raw['syncIntervalSeconds'] === 'number'
? raw['syncIntervalSeconds']
: 30;
return { databaseUrl, brainPath, openaiApiKey, autoSync, syncIntervalSeconds };
}
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/**
* Engine host — manages the singleton BrainEngine lifecycle.
*/
import type { BrainEngine } from '../../src/core/engine.ts';
import { createEngine } from '../../src/core/engine-factory.ts';
import type { GBrainPluginConfig } from './config.js';
let engine: BrainEngine | null = null;
let config: GBrainPluginConfig | null = null;
export async function initEngine(cfg: GBrainPluginConfig): Promise<BrainEngine> {
config = cfg;
engine = await createEngine({
database_url: cfg.databaseUrl,
engine: 'postgres',
});
await engine.connect({ database_url: cfg.databaseUrl, engine: 'postgres' });
return engine;
}
export function getEngine(): BrainEngine {
if (!engine) {
throw new Error(
'GBrain engine not initialized. Ensure the gbrain plugin service is running ' +
'and databaseUrl is configured.',
);
}
return engine;
}
export function getConfig(): GBrainPluginConfig {
if (!config) {
throw new Error('GBrain plugin config not initialized.');
}
return config;
}
export async function shutdownEngine(): Promise<void> {
if (engine) {
await engine.disconnect();
engine = null;
}
}
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/**
* GBrain OpenClaw Plugin — native tool registration for personal knowledge brains.
*
* Registers 7 tools that agents discover automatically:
* gbrain_search — Hybrid search (keyword + semantic via RRF)
* gbrain_get — Direct page read by slug
* gbrain_resolve — Entity resolution (name → page)
* gbrain_graph — Relationship traversal
* gbrain_timeline — Temporal queries
* gbrain_ingest — Create/update brain pages
* gbrain_stats — Brain health and statistics
*
* Plus a background service for engine lifecycle and /gbrain CLI commands.
*/
import { definePluginEntry } from 'openclaw/plugin-sdk/plugin-entry';
import { resolveConfig } from './config.js';
import { createSyncService } from './service.js';
import { registerGBrainCli } from './cli.js';
// Tool schemas and executors
import { gbrainSearchSchema, executeSearch } from './tools/search.js';
import { gbrainGetSchema, executeGet } from './tools/get.js';
import { gbrainResolveSchema, executeResolve } from './tools/resolve.js';
import { gbrainGraphSchema, executeGraph } from './tools/graph.js';
import { gbrainTimelineSchema, executeTimeline } from './tools/timeline.js';
import { gbrainIngestSchema, executeIngest } from './tools/ingest.js';
import { gbrainStatsSchema, executeStats } from './tools/stats.js';
export default definePluginEntry({
id: 'gbrain',
name: 'GBrain',
description:
'Personal knowledge brain — semantic search, entity resolution, ' +
'relationship graph, and enrichment for markdown repos',
register(api) {
const config = resolveConfig(api.config as Record<string, unknown>);
// ── Tools ────────────────────────────────────────────────────────────
api.registerTool({
name: 'gbrain_search',
label: 'GBrain Search',
description:
'Search the knowledge brain using hybrid semantic + keyword search. ' +
'Returns ranked page excerpts with source paths. Use for any question about ' +
'people, companies, deals, meetings, projects, or concepts in the brain.',
parameters: gbrainSearchSchema,
async execute(_toolCallId: string, params: any) {
return executeSearch(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_get',
label: 'GBrain Get',
description:
'Read a brain page by its slug. Returns the full compiled truth section, ' +
'optionally with timeline entries and link/backlink graph.',
parameters: gbrainGetSchema,
async execute(_toolCallId: string, params: any) {
return executeGet(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_resolve',
label: 'GBrain Resolve',
description:
'Resolve a name, company, or reference to its brain page. ' +
'Uses exact slug match → keyword search cascade.',
parameters: gbrainResolveSchema,
async execute(_toolCallId: string, params: any) {
return executeResolve(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_graph',
label: 'GBrain Graph',
description:
'Traverse entity relationships in the knowledge brain. Returns connected ' +
'pages with relationship types and context.',
parameters: gbrainGraphSchema,
async execute(_toolCallId: string, params: any) {
return executeGraph(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_timeline',
label: 'GBrain Timeline',
description:
'Query temporal changes for a brain entity. Returns dated timeline entries. ' +
'Supports relative dates like "7d", "30d".',
parameters: gbrainTimelineSchema,
async execute(_toolCallId: string, params: any) {
return executeTimeline(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_ingest',
label: 'GBrain Ingest',
description:
'Create or update a brain page with automatic re-indexing. Can create new ' +
'pages, prepend timeline entries, or replace compiled truth sections.',
parameters: gbrainIngestSchema,
async execute(_toolCallId: string, params: any) {
return executeIngest(params as Record<string, unknown>);
},
} as any);
api.registerTool({
name: 'gbrain_stats',
label: 'GBrain Stats',
description:
'Get brain health statistics — page count, embed coverage, link density, ' +
'brain score, most connected entities, and orphan/stale page counts.',
parameters: gbrainStatsSchema,
async execute(_toolCallId: string, _params: any) {
return executeStats();
},
} as any);
// ── Background Service ──────────────────────────────────────────────
api.registerService(createSyncService(config) as any);
// ── CLI ─────────────────────────────────────────────────────────────
api.registerCli(registerGBrainCli() as any, { commands: ['gbrain', 'gbrain-sync', 'gbrain-doctor'] });
},
});
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/**
* Background service — manages engine lifecycle and periodic sync.
*/
import { initEngine, shutdownEngine } from './engine-host.js';
import type { GBrainPluginConfig } from './config.js';
import { readFileSync, existsSync } from 'fs';
import { join } from 'path';
let syncTimer: ReturnType<typeof setInterval> | null = null;
let lastGitHead: string | null = null;
function readGitHead(brainPath: string): string | null {
try {
const headPath = join(brainPath, '.git', 'HEAD');
if (!existsSync(headPath)) return null;
const head = readFileSync(headPath, 'utf-8').trim();
if (head.startsWith('ref: ')) {
const refPath = join(brainPath, '.git', head.slice(5));
if (existsSync(refPath)) {
return readFileSync(refPath, 'utf-8').trim();
}
}
return head;
} catch {
return null;
}
}
export function createSyncService(config: GBrainPluginConfig) {
return {
id: 'gbrain-sync',
async start() {
if (!config.databaseUrl) {
console.error('[gbrain] No databaseUrl configured — skipping engine init');
return;
}
await initEngine(config);
console.error(`[gbrain] Engine connected. Brain path: ${config.brainPath}`);
lastGitHead = readGitHead(config.brainPath);
if (config.autoSync) {
syncTimer = setInterval(async () => {
try {
const currentHead = readGitHead(config.brainPath);
if (currentHead && currentHead !== lastGitHead) {
console.error(
`[gbrain] Git HEAD changed (${lastGitHead?.slice(0, 8)}${currentHead.slice(0, 8)}), sync needed`,
);
lastGitHead = currentHead;
// Full sync integration uses the existing gbrain sync pipeline
// For now we detect changes; sync orchestration is a follow-up
}
} catch (e) {
console.error('[gbrain] Sync check error:', e);
}
}, config.syncIntervalSeconds * 1000);
}
},
async stop() {
if (syncTimer) {
clearInterval(syncTimer);
syncTimer = null;
}
await shutdownEngine();
console.error('[gbrain] Engine disconnected.');
},
};
}
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/**
* Shared tool result helpers. OpenClaw's AgentToolResult requires
* both `content` (text/image blocks) and `details` (structured data).
*/
export function textResult(text: string, details: Record<string, unknown> = {}) {
return {
content: [{ type: 'text' as const, text }],
details,
};
}
export function truncate(s: string, max: number): string {
if (s.length <= max) return s;
return s.slice(0, max).replace(/\s\S*$/, '') + '…';
}
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/**
* gbrain_get — Direct page read by slug.
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import { textResult } from '../tool-result.js';
export const gbrainGetSchema = Type.Object({
slug: Type.String({ description: 'Page slug (e.g. "people/garry-tan", "companies/brex")' }),
includeTimeline: Type.Optional(
Type.Boolean({ default: false, description: 'Include timeline entries' }),
),
includeLinks: Type.Optional(
Type.Boolean({ default: false, description: 'Include links and backlinks' }),
),
});
export async function executeGet(params: Record<string, unknown>) {
const engine = getEngine();
const slug = params['slug'] as string;
const includeTimeline = params['includeTimeline'] as boolean ?? false;
const includeLinks = params['includeLinks'] as boolean ?? false;
const page = await engine.getPage(slug);
if (!page) {
const candidates = await engine.resolveSlugs(slug);
if (candidates.length > 0) {
return textResult(
`Page "${slug}" not found. Did you mean:\n` +
candidates.slice(0, 5).map(c => ` - ${c}`).join('\n'),
);
}
return textResult(`Page "${slug}" not found.`);
}
const lines: string[] = [];
lines.push(`# ${page.title}`);
lines.push(`slug: ${page.slug} | type: ${page.type} | updated: ${page.updated_at.toISOString()}`);
lines.push('');
lines.push(page.compiled_truth);
if (includeTimeline) {
const timeline = await engine.getTimeline(slug);
if (timeline.length > 0) {
lines.push('\n---\n## Timeline\n');
for (const t of timeline) {
lines.push(`**${t.date}** (${t.source}): ${t.summary}`);
if (t.detail) lines.push(` ${t.detail}`);
}
}
}
if (includeLinks) {
const [links, backlinks] = await Promise.all([
engine.getLinks(slug),
engine.getBacklinks(slug),
]);
if (links.length > 0) {
lines.push('\n## Links (outgoing)\n');
for (const l of links) {
lines.push(`- → ${l.to_slug} [${l.link_type}]${l.context ? `${l.context}` : ''}`);
}
}
if (backlinks.length > 0) {
lines.push('\n## Backlinks (incoming)\n');
for (const l of backlinks) {
lines.push(`- ← ${l.from_slug} [${l.link_type}]${l.context ? `${l.context}` : ''}`);
}
}
}
return textResult(lines.join('\n'), { slug: page.slug, type: page.type });
}
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/**
* gbrain_graph — Relationship traversal.
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import { textResult } from '../tool-result.js';
export const gbrainGraphSchema = Type.Object({
entity: Type.String({
description: 'Entity slug or name to start from (e.g. "people/garry-tan", "Brex")',
}),
direction: Type.Optional(
Type.Union(
[Type.Literal('outgoing'), Type.Literal('incoming'), Type.Literal('both')],
{ default: 'both', description: 'Edge direction to traverse' },
),
),
depth: Type.Optional(
Type.Number({ default: 1, minimum: 1, maximum: 3, description: 'Traversal depth (1-3)' }),
),
});
export async function executeGraph(params: Record<string, unknown>) {
const engine = getEngine();
const entity = params['entity'] as string;
const direction = (params['direction'] as string) ?? 'both';
const depth = (params['depth'] as number) ?? 1;
// Resolve entity to slug
let slug = entity;
let rootPage = await engine.getPage(slug);
if (!rootPage) {
const candidates = await engine.resolveSlugs(slug.toLowerCase().replace(/\s+/g, '-'));
if (candidates.length > 0) {
slug = candidates[0];
rootPage = await engine.getPage(slug);
}
if (!rootPage) {
const search = await engine.searchKeyword(entity, { limit: 1 });
if (search.length > 0) {
slug = search[0].slug;
rootPage = await engine.getPage(slug);
}
}
}
if (!rootPage) return textResult(`No entity found matching "${entity}".`);
const lines: string[] = [];
lines.push(`## ${rootPage.title} (${rootPage.type})`);
lines.push(`slug: ${rootPage.slug}\n`);
const visited = new Set<string>([slug]);
const edges: Array<{ from: string; to: string; type: string; context: string; depth: number }> = [];
await traverse(engine, slug, direction, depth, 1, visited, edges);
if (edges.length === 0) {
lines.push('No connected entities found.');
} else {
lines.push(`Found ${edges.length} connection(s):\n`);
for (const e of edges) {
const arrow = e.from === slug ? '→' : '←';
const other = e.from === slug ? e.to : e.from;
lines.push(`- ${arrow} **${other}** [${e.type}]${e.context ? `${e.context}` : ''} (depth ${e.depth})`);
}
}
return textResult(lines.join('\n'), { edgeCount: edges.length });
}
async function traverse(
engine: ReturnType<typeof getEngine>,
slug: string,
direction: string,
maxDepth: number,
currentDepth: number,
visited: Set<string>,
edges: Array<{ from: string; to: string; type: string; context: string; depth: number }>,
) {
if (currentDepth > maxDepth) return;
const [outgoing, incoming] = await Promise.all([
(direction === 'outgoing' || direction === 'both') ? engine.getLinks(slug) : Promise.resolve([]),
(direction === 'incoming' || direction === 'both') ? engine.getBacklinks(slug) : Promise.resolve([]),
]);
const nextSlugs: string[] = [];
for (const link of outgoing) {
edges.push({ from: link.from_slug, to: link.to_slug, type: link.link_type, context: link.context, depth: currentDepth });
if (!visited.has(link.to_slug)) {
visited.add(link.to_slug);
nextSlugs.push(link.to_slug);
}
}
for (const link of incoming) {
edges.push({ from: link.from_slug, to: link.to_slug, type: link.link_type, context: link.context, depth: currentDepth });
if (!visited.has(link.from_slug)) {
visited.add(link.from_slug);
nextSlugs.push(link.from_slug);
}
}
for (const next of nextSlugs) {
await traverse(engine, next, direction, maxDepth, currentDepth + 1, visited, edges);
}
}
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/**
* gbrain_ingest — Create or update brain pages with automatic re-indexing.
*/
import { Type } from '@sinclair/typebox';
import { getEngine, getConfig } from '../engine-host.js';
import { parseMarkdown, serializeMarkdown } from '../../../src/core/markdown.ts';
import type { PageType } from '../../../src/core/types.ts';
import { readFileSync, writeFileSync, existsSync, mkdirSync } from 'fs';
import { join, dirname } from 'path';
import { textResult } from '../tool-result.js';
export const gbrainIngestSchema = Type.Object({
slug: Type.String({
description: 'Brain-relative slug (e.g. "people/new-person", "companies/acme")',
}),
content: Type.Optional(
Type.String({ description: 'Full page markdown content (for new pages)' }),
),
timelineEntry: Type.Optional(
Type.String({ description: 'Text to prepend as a new timeline entry (date auto-added)' }),
),
compiledTruthUpdate: Type.Optional(
Type.String({ description: 'New compiled truth body (replaces compiled truth section)' }),
),
});
export async function executeIngest(params: Record<string, unknown>) {
const engine = getEngine();
const config = getConfig();
const slug = params['slug'] as string;
const content = params['content'] as string | undefined;
const timelineEntry = params['timelineEntry'] as string | undefined;
const compiledTruthUpdate = params['compiledTruthUpdate'] as string | undefined;
const filePath = join(config.brainPath, `${slug}.md`);
const actions: string[] = [];
if (content) {
// New page — write full content
const dir = dirname(filePath);
if (!existsSync(dir)) mkdirSync(dir, { recursive: true });
writeFileSync(filePath, content, 'utf-8');
actions.push('created');
// Index the new page
const parsed = parseMarkdown(content, filePath);
await engine.putPage(slug, {
type: parsed.type,
title: parsed.title,
compiled_truth: parsed.compiled_truth,
timeline: parsed.timeline,
frontmatter: parsed.frontmatter,
});
actions.push('indexed');
} else if (existsSync(filePath)) {
const existing = readFileSync(filePath, 'utf-8');
const parsed = parseMarkdown(existing, filePath);
let newCompiledTruth = parsed.compiled_truth;
let newTimeline = parsed.timeline;
if (compiledTruthUpdate) {
newCompiledTruth = compiledTruthUpdate;
actions.push('compiled_truth_updated');
}
if (timelineEntry) {
const today = new Date().toISOString().split('T')[0];
const entry = `- **${today}**: ${timelineEntry}`;
newTimeline = entry + '\n' + newTimeline;
actions.push('timeline_prepended');
}
if (actions.length > 0) {
const serialized = serializeMarkdown(
parsed.frontmatter,
newCompiledTruth,
newTimeline,
{ type: parsed.type, title: parsed.title, tags: parsed.tags },
);
writeFileSync(filePath, serialized, 'utf-8');
// Re-index
await engine.putPage(slug, {
type: parsed.type,
title: parsed.title,
compiled_truth: newCompiledTruth,
timeline: newTimeline,
frontmatter: parsed.frontmatter,
});
actions.push('re-indexed');
}
} else {
return textResult(`Page "${slug}" not found and no content provided for creation.`);
}
return textResult(`Done: ${actions.join(', ')} for ${slug}`, { actions, slug });
}
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/**
* gbrain_resolve — Entity resolution (name → page).
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import type { PageType } from '../../../src/core/types.ts';
import { textResult, truncate } from '../tool-result.js';
export const gbrainResolveSchema = Type.Object({
name: Type.String({
description: 'Entity name to resolve (e.g. "Pedro", "Brex", "the Variant deal")',
}),
type: Type.Optional(
Type.Union(
[
Type.Literal('person'),
Type.Literal('company'),
Type.Literal('deal'),
Type.Literal('meeting'),
Type.Literal('any'),
],
{ default: 'any', description: 'Expected entity type' },
),
),
});
export async function executeResolve(params: Record<string, unknown>) {
const engine = getEngine();
const name = params['name'] as string;
const type = (params['type'] as string) ?? 'any';
// 1. Try direct slug resolution
const slugCandidates = await engine.resolveSlugs(name.toLowerCase().replace(/\s+/g, '-'));
const filtered = type !== 'any'
? await filterByType(engine, slugCandidates, type as PageType)
: slugCandidates;
if (filtered.length > 0) {
const bestSlug = filtered[0];
const page = await engine.getPage(bestSlug);
if (page) {
return textResult(
`Resolved: **${page.title}**\n` +
`slug: ${page.slug} | type: ${page.type}\n\n` +
truncate(page.compiled_truth, 500),
{ slug: page.slug, type: page.type, confidence: 1.0 },
);
}
}
// 2. Fall back to keyword search
const searchOpts = type !== 'any' ? { type: type as PageType, limit: 5 } : { limit: 5 };
const searchResults = await engine.searchKeyword(name, searchOpts);
if (searchResults.length > 0) {
const best = searchResults[0];
const page = await engine.getPage(best.slug);
if (page && best.score > 0.3) {
const others = searchResults.slice(1).map(r =>
` - ${r.title} (${r.slug}, score: ${r.score.toFixed(2)})`,
);
return textResult(
`Best match: **${page.title}** (score: ${best.score.toFixed(2)})\n` +
`slug: ${page.slug} | type: ${page.type}\n\n` +
truncate(page.compiled_truth, 400) +
(others.length > 0 ? `\n\nOther candidates:\n${others.join('\n')}` : ''),
{ slug: page.slug, type: page.type, confidence: best.score },
);
}
}
return textResult(`No confident match found for "${name}".`);
}
async function filterByType(
engine: ReturnType<typeof getEngine>,
slugs: string[],
type: PageType,
): Promise<string[]> {
const result: string[] = [];
for (const slug of slugs) {
const page = await engine.getPage(slug);
if (page && page.type === type) result.push(slug);
}
return result;
}
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/**
* gbrain_search — Hybrid search (keyword + semantic via RRF fusion).
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import { hybridSearch } from '../../../src/core/search/hybrid.ts';
import type { SearchOpts, PageType } from '../../../src/core/types.ts';
import { textResult, truncate } from '../tool-result.js';
const PAGE_TYPES = [
'person', 'company', 'deal', 'meeting', 'project',
'yc', 'civic', 'concept', 'source', 'media',
] as const;
export const gbrainSearchSchema = Type.Object({
query: Type.String({ description: 'Natural language search query' }),
scope: Type.Optional(
Type.Union(
PAGE_TYPES.map(t => Type.Literal(t)),
{ description: 'Limit search to a specific page type' },
),
),
limit: Type.Optional(
Type.Number({ default: 10, minimum: 1, maximum: 50, description: 'Max results to return' }),
),
mode: Type.Optional(
Type.Union(
[Type.Literal('hybrid'), Type.Literal('keyword'), Type.Literal('semantic')],
{ default: 'hybrid', description: 'Search mode' },
),
),
});
export async function executeSearch(params: Record<string, unknown>) {
const engine = getEngine();
const query = params['query'] as string;
const scope = params['scope'] as PageType | undefined;
const limit = (params['limit'] as number) ?? 10;
const mode = (params['mode'] as string) ?? 'hybrid';
const opts: SearchOpts & { limit: number; type?: PageType } = { limit };
if (scope) opts.type = scope;
let results;
if (mode === 'keyword') {
results = await engine.searchKeyword(query, opts);
} else {
results = await hybridSearch(engine, query, opts);
}
if (results.length === 0) {
return textResult(`No results found for "${query}".`);
}
const lines: string[] = [];
lines.push(`Found ${results.length} result(s) for "${query}":\n`);
for (const r of results) {
lines.push(`## ${r.title}`);
lines.push(`slug: ${r.slug} | type: ${r.type} | score: ${r.score.toFixed(3)}`);
lines.push(truncate(r.chunk_text, 400));
lines.push('');
}
return textResult(lines.join('\n'), { resultCount: results.length });
}
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/**
* gbrain_stats — Brain health and statistics.
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import { textResult } from '../tool-result.js';
export const gbrainStatsSchema = Type.Object({});
export async function executeStats() {
const engine = getEngine();
const [stats, health] = await Promise.all([
engine.getStats(),
engine.getHealth(),
]);
const lines: string[] = [];
lines.push('## GBrain Stats\n');
lines.push(`**Pages:** ${stats.page_count}`);
lines.push(`**Chunks:** ${stats.chunk_count} (${stats.embedded_count} embedded)`);
lines.push(`**Links:** ${stats.link_count}`);
lines.push(`**Timeline entries:** ${stats.timeline_entry_count}`);
lines.push(`**Tags:** ${stats.tag_count}`);
lines.push('\n### Pages by Type\n');
for (const [type, count] of Object.entries(stats.pages_by_type).sort((a, b) => b[1] - a[1])) {
lines.push(`- ${type}: ${count}`);
}
lines.push('\n### Health\n');
lines.push(`**Brain Score:** ${health.brain_score}/100`);
lines.push(`**Embed Coverage:** ${(health.embed_coverage * 100).toFixed(1)}%`);
lines.push(`**Link Coverage:** ${(health.link_coverage * 100).toFixed(1)}%`);
lines.push(`**Timeline Coverage:** ${(health.timeline_coverage * 100).toFixed(1)}%`);
lines.push(`**Stale Pages:** ${health.stale_pages}`);
lines.push(`**Orphan Pages:** ${health.orphan_pages}`);
lines.push(`**Dead Links:** ${health.dead_links}`);
if (health.most_connected.length > 0) {
lines.push('\n### Most Connected\n');
for (const mc of health.most_connected) {
lines.push(`- ${mc.slug}: ${mc.link_count} links`);
}
}
return textResult(lines.join('\n'), {
pageCount: stats.page_count,
brainScore: health.brain_score,
});
}
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/**
* gbrain_timeline — Temporal queries for a specific entity.
*/
import { Type } from '@sinclair/typebox';
import { getEngine } from '../engine-host.js';
import { textResult } from '../tool-result.js';
export const gbrainTimelineSchema = Type.Object({
slug: Type.String({
description: 'Page slug to get timeline for (e.g. "people/garry-tan", "companies/brex")',
}),
since: Type.Optional(
Type.String({ description: 'Only entries after this date (ISO or "7d", "30d")' }),
),
until: Type.Optional(
Type.String({ description: 'Only entries before this date (ISO)' }),
),
limit: Type.Optional(
Type.Number({ default: 20, minimum: 1, maximum: 100, description: 'Max entries to return' }),
),
});
export async function executeTimeline(params: Record<string, unknown>) {
const engine = getEngine();
const slug = params['slug'] as string;
const since = params['since'] as string | undefined;
const until = params['until'] as string | undefined;
const limit = (params['limit'] as number) ?? 20;
const page = await engine.getPage(slug);
if (!page) return textResult(`Page "${slug}" not found.`);
const after = since ? resolveDate(since) : undefined;
const before = until ? resolveDate(until) : undefined;
const timeline = await engine.getTimeline(slug, { limit, after, before });
if (timeline.length === 0) {
return textResult(`No timeline entries found for "${page.title}".`);
}
const lines: string[] = [];
lines.push(`## Timeline: ${page.title}`);
lines.push(`${timeline.length} entries${after ? ` since ${after}` : ''}${before ? ` until ${before}` : ''}:\n`);
for (const t of timeline) {
lines.push(`**${t.date}** (${t.source}): ${t.summary}`);
if (t.detail) lines.push(` ${t.detail}`);
}
return textResult(lines.join('\n'), { entryCount: timeline.length });
}
function resolveDate(input: string): string {
const relMatch = input.match(/^(\d+)d$/);
if (relMatch) {
const days = parseInt(relMatch[1], 10);
const d = new Date();
d.setDate(d.getDate() - days);
return d.toISOString().split('T')[0];
}
return input;
}
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{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"outDir": "dist",
"declaration": false,
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"resolveJsonModule": true,
"noEmit": true,
"allowImportingTsExtensions": true
},
"include": ["src/**/*.ts"],
"exclude": ["dist", "node_modules"]
}