commit e90ea1591b9ea25ca4b43061a22ee42847e404a5 Author: YOUNG Date: Fri Mar 6 14:53:41 2026 -0600 Initial project scaffold: Open Brain self-hosted knowledge infrastructure Node.js/TypeScript server with MCP endpoint for AI assistant integration, Discord bot for thought capture and slash commands, PostgreSQL + pgvector for semantic search, and OpenRouter for embeddings/metadata extraction. Dockerized for deployment behind Caddy. Co-Authored-By: Claude Opus 4.6 diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..f2ca079 --- /dev/null +++ b/.env.example @@ -0,0 +1,15 @@ +# Database (host.docker.internal = host machine from inside Docker) +DATABASE_URL=postgresql://brain_user:password@host.docker.internal:5432/brain + +# OpenRouter (AI gateway for embeddings + metadata extraction) +OPENROUTER_API_KEY=sk-or-... + +# Discord bot +DISCORD_BOT_TOKEN= +DISCORD_CAPTURE_CHANNEL_ID= + +# MCP endpoint authentication (generate with: openssl rand -hex 32) +MCP_ACCESS_KEY= + +# Server port +PORT=3100 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..aa0926a --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +node_modules/ +dist/ +.env +*.log diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..663ba39 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,15 @@ +FROM node:22-alpine AS builder +WORKDIR /app +COPY package.json package-lock.json ./ +RUN npm ci +COPY tsconfig.json ./ +COPY src/ ./src/ +RUN npm run build + +FROM node:22-alpine +WORKDIR /app +COPY package.json package-lock.json ./ +RUN npm ci --omit=dev +COPY --from=builder /app/dist ./dist +EXPOSE 3100 +CMD ["node", "dist/index.js"] diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..9260200 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,10 @@ +services: + open-brain: + build: . + container_name: open-brain + restart: unless-stopped + ports: + - "3100:3100" + env_file: .env + extra_hosts: + - "host.docker.internal:host-gateway" diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..5fa78fb --- /dev/null +++ b/package-lock.json @@ -0,0 +1,2171 @@ +{ + "name": "brain", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "brain", + "version": "1.0.0", + "license": "ISC", + "dependencies": { + "@hono/node-server": "^1.19.11", + "@modelcontextprotocol/sdk": "^1.27.1", + 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"@modelcontextprotocol/sdk": "^1.27.1", + "discord.js": "^14.25.1", + "hono": "^4.12.5", + "pg": "^8.20.0", + "pgvector": "^0.2.1", + "zod": "^4.3.6" + }, + "devDependencies": { + "@types/node": "^25.3.5", + "@types/pg": "^8.18.0", + "tsx": "^4.21.0", + "typescript": "^5.9.3" + } +} diff --git a/project_plan.MD b/project_plan.MD new file mode 100644 index 0000000..369cf6c --- /dev/null +++ b/project_plan.MD @@ -0,0 +1,377 @@ +Open Brain — Self-Hosted Implementation Plan + + Context + + Build a self-hosted personal knowledge infrastructure ("Open Brain") on a DigitalOcean VPS. Based on the guide at promptkit.natebjones.com, adapted to replace Supabase with self-hosted components running in Docker behind Caddy. + + What it does: A single PostgreSQL database that any AI assistant can read from and write to via MCP (Model Context Protocol). Thoughts can also be captured and queried through a Discord bot. Every thought gets a vector embedding for + semantic search and structured metadata (type, topics, people, action items) extracted by an LLM. + + Two input paths: + - Discord #capture channel — type a thought, bot ingests it + - MCP capture_thought tool — any connected AI can save a thought directly + + Three output paths: + - MCP tools — AI assistants call search_thoughts, list_thoughts, thought_stats + - Discord slash commands — /brain search, /brain recent, /brain stats + - Direct SQL via SSH — admin/debug access + + --- + Decisions + + ┌──────────────────┬──────────────────────────────────────────────────────────────────────┐ + │ Decision │ Choice │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Database │ Existing PostgreSQL on VPS + pgvector extension │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Schema │ Includes user_id column (future-proofing for multi-user) │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Runtime │ Node.js / TypeScript │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Deployment │ Dockerized (Dockerfile + docker-compose.yml) │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Messaging │ Discord bot (new bot, existing server) with capture + query commands │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ AI gateway │ OpenRouter (text-embedding-3-small + gpt-4o-mini) │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Routing │ Subdomain brain.option.design via host-level Caddy │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Security │ 64-char hex key on MCP endpoint + Caddy rate limiting (30 req/min) │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ MCP write access │ Enabled — capture_thought tool included │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Backups │ Not included — user will handle separately │ + ├──────────────────┼──────────────────────────────────────────────────────────────────────┤ + │ Repo │ https://git.option.design/will/open-brain.git │ + └──────────────────┴──────────────────────────────────────────────────────────────────────┘ + + --- + Architecture + + Internet (HTTPS) + | + Caddy (host-level, auto-TLS) + rate_limit: 30 req/min per IP + | + brain.option.design → localhost:3100 + | + ┌─────────────────────────────┐ + │ Docker: open-brain │ + │ │ + │ Hono HTTP Server (:3100) │ + │ ├── POST /mcp ─┼──→ AI clients (Claude Desktop, + │ │ (MCP StreamableHTTP) │ ChatGPT, Claude Code, Cursor) + │ │ Auth: x-brain-key │ call this endpoint over HTTPS + │ │ │ + │ └── Discord.js bot ─┼──→ Discord #capture channel + │ (outbound WebSocket) │ (bot connects OUT to Discord, + │ ├── message capture │ no inbound traffic needed) + │ └── slash commands │ + │ /brain search │ + │ /brain recent │ + │ /brain stats │ + │ │ + │ Shared ingest pipeline │ + │ ├── getEmbedding() ─┼──→ OpenRouter API + │ └── extractMetadata() ─┼──→ OpenRouter API + └──────────────┬───────────────┘ + │ + PostgreSQL + pgvector (host) + └── brain database + └── thoughts table + + How each actor accesses the system + + ┌───────────────────────────────────┬─────────────────────────────────┬──────────────────────────────────────────────┬──────────────────────────┐ + │ Actor │ Path │ Auth │ Direction │ + ├───────────────────────────────────┼─────────────────────────────────┼──────────────────────────────────────────────┼──────────────────────────┤ + │ Claude Desktop / ChatGPT / Cursor │ HTTPS → Caddy → :3100/mcp │ MCP key (configured once in client settings) │ Client calls your server │ + ├───────────────────────────────────┼─────────────────────────────────┼──────────────────────────────────────────────┼──────────────────────────┤ + │ Claude Code │ Same as above │ MCP key (configured via claude mcp add) │ Client calls your server │ + ├───────────────────────────────────┼─────────────────────────────────┼──────────────────────────────────────────────┼──────────────────────────┤ + │ Discord (you typing in #capture) │ Discord servers → bot WebSocket │ Discord login │ Bot connects outward │ + ├───────────────────────────────────┼─────────────────────────────────┼──────────────────────────────────────────────┼──────────────────────────┤ + │ Discord slash commands │ Same WebSocket │ Discord login │ Bot connects outward │ + ├───────────────────────────────────┼─────────────────────────────────┼──────────────────────────────────────────────┼──────────────────────────┤ + │ You via SSH │ SSH → psql │ SSH key (existing) │ Direct DB access │ + └───────────────────────────────────┴─────────────────────────────────┴──────────────────────────────────────────────┴──────────────────────────┘ + + Note: The MCP endpoint at brain.option.design is public-facing (reachable from the internet) because AI clients like Claude Desktop and ChatGPT call it from their own servers. It is protected by a 64-character hex key over HTTPS and + rate-limited at 30 requests/minute per IP. Without the correct key, all requests are rejected with 401. + + --- + Implementation Steps + + Step 1: PostgreSQL + pgvector + + Verify pgvector is installed on the existing PostgreSQL; install if needed. Create database, user, and schema. + + File: sql/schema.sql + + CREATE EXTENSION IF NOT EXISTS vector; + + CREATE TABLE thoughts ( + id UUID DEFAULT gen_random_uuid() PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + content TEXT NOT NULL, + embedding VECTOR(1536), + metadata JSONB DEFAULT '{}'::jsonb, + source TEXT NOT NULL DEFAULT 'mcp', -- 'discord' or 'mcp' + created_at TIMESTAMPTZ DEFAULT now(), + updated_at TIMESTAMPTZ DEFAULT now() + ); + + CREATE INDEX ON thoughts USING hnsw (embedding vector_cosine_ops); + CREATE INDEX ON thoughts USING gin (metadata); + CREATE INDEX ON thoughts (created_at DESC); + CREATE INDEX ON thoughts (user_id); + + -- Auto-update trigger for updated_at + CREATE OR REPLACE FUNCTION update_updated_at() RETURNS TRIGGER AS $$ + BEGIN NEW.updated_at = now(); RETURN NEW; END; + $$ LANGUAGE plpgsql; + + CREATE TRIGGER thoughts_updated_at BEFORE UPDATE ON thoughts + FOR EACH ROW EXECUTE FUNCTION update_updated_at(); + + -- Semantic search function + CREATE OR REPLACE FUNCTION match_thoughts( + query_embedding VECTOR(1536), + match_threshold FLOAT DEFAULT 0.7, + match_count INT DEFAULT 10, + filter JSONB DEFAULT '{}'::jsonb + ) RETURNS TABLE ( + id UUID, content TEXT, metadata JSONB, + similarity FLOAT, created_at TIMESTAMPTZ + ) LANGUAGE plpgsql AS $$ + BEGIN + RETURN QUERY + SELECT t.id, t.content, t.metadata, + 1 - (t.embedding <=> query_embedding) AS similarity, + t.created_at + FROM thoughts t + WHERE 1 - (t.embedding <=> query_embedding) > match_threshold + ORDER BY t.embedding <=> query_embedding + LIMIT match_count; + END; + $$; + + Deploy: SSH to VPS, run psql -d brain -f sql/schema.sql + + Step 2: Node.js/TypeScript Project + + Project structure: + open-brain/ + ├── Dockerfile + ├── docker-compose.yml + ├── package.json + ├── tsconfig.json + ├── .env.example + ├── .gitignore + ├── sql/ + │ └── schema.sql + └── src/ + ├── index.ts — Hono server entry, starts HTTP + Discord bot + ├── db.ts — pg client with pgvector, query helpers + ├── ai.ts — OpenRouter: getEmbedding() + extractMetadata() + ├── discord.ts — Discord.js bot: message capture + slash commands + ├── mcp.ts — MCP server with 4 tool definitions + ├── ingest.ts — Shared pipeline: embed → extract metadata → store + └── types.ts — TypeScript interfaces (Thought, Metadata) + + Key dependencies: + - @modelcontextprotocol/sdk — MCP protocol server + - hono + @hono/node-server — HTTP framework on Node.js + - discord.js — Discord gateway bot + - pg + pgvector — PostgreSQL client with vector support + - zod — schema validation for MCP tool inputs + + Step 3: Shared Ingest Pipeline (src/ingest.ts) + + Both Discord and MCP capture_thought use the same pipeline: + + Input text + → getEmbedding(text) — OpenRouter text-embedding-3-small → 1536-dim vector + → extractMetadata(text) — OpenRouter gpt-4o-mini → structured JSON + → INSERT into thoughts table — content + embedding + metadata + source tag + → Return confirmation — "Captured as [type] — [topics]" + + Metadata schema extracted by LLM: + { + "type": "observation | task | idea | reference | person_note", + "topics": ["tag1", "tag2"], + "people": ["name1"], + "action_items": ["todo1"], + "dates_mentioned": ["YYYY-MM-DD"] + } + + Step 4: MCP Server (src/mcp.ts) + + Exposed at POST /mcp via StreamableHTTP transport. Authenticated with x-brain-key header or ?key= query param. + + ┌─────────────────┬───────────────────────────────────────────────────────────────────────────────┬────────────────────────────────────────────────────┐ + │ Tool │ Input │ What it does │ + ├─────────────────┼───────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────────┤ + │ search_thoughts │ query: string, limit?: number, threshold?: number │ Embed query → cosine similarity search in pgvector │ + ├─────────────────┼───────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────────┤ + │ list_thoughts │ limit?: number, type?: string, topic?: string, person?: string, days?: number │ Filter thoughts by metadata fields, return recent │ + ├─────────────────┼───────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────────┤ + │ thought_stats │ (none) │ Aggregate counts by type, topic, recent activity │ + ├─────────────────┼───────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────────┤ + │ capture_thought │ content: string │ Run full ingest pipeline, return confirmation │ + └─────────────────┴───────────────────────────────────────────────────────────────────────────────┴────────────────────────────────────────────────────┘ + + Each tool is defined with Zod schemas and registered on the MCP server. The AI client discovers them automatically on connection. + + Step 5: Discord Bot (src/discord.ts) + + Setup (manual, one-time): + 1. Create Discord Application at discord.com/developers/applications + 2. Create Bot user, enable MESSAGE CONTENT privileged intent + 3. Generate and copy bot token → goes in .env + 4. Invite to server with permissions: Read/Send Messages, Read Message History, Use Slash Commands + 5. Designate #capture channel, copy channel ID → goes in .env + + Message capture behavior: + - Listens for messages in configured channel only + - Ignores bot messages and system messages + - Runs ingest pipeline on valid messages + - Replies with: Captured as [type] — [topic1], [topic2] + + Slash commands: + - /brain search — semantic search, returns top results + - /brain recent [count] — list recent thoughts + - /brain stats — show aggregate stats + + Step 6: OpenRouter Integration (src/ai.ts) + + Two API calls to https://openrouter.ai/api/v1/: + + - getEmbedding(text): POST /embeddings, model text-embedding-3-small → returns 1536-dim float array + - extractMetadata(text): POST /chat/completions, model gpt-4o-mini, system prompt requesting JSON matching the metadata schema above + + Estimated cost: ~$0.10–0.30/month at 20 thoughts/day. + + Step 7: Docker Setup + + Dockerfile — Multi-stage: Node.js 22 Alpine, install deps, compile TypeScript, run compiled JS in slim image. + + docker-compose.yml: + services: + open-brain: + build: . + container_name: open-brain + restart: unless-stopped + ports: + - "3100:3100" + env_file: .env + extra_hosts: + - "host.docker.internal:host-gateway" + + host.docker.internal lets the container reach the host's PostgreSQL. May require updating pg_hba.conf to allow connections from Docker's bridge subnet (typically 172.17.0.0/16). + + Step 8: Caddy Configuration + + Add to existing Caddyfile on the VPS: + + brain.option.design { + rate_limit {remote.host} 30r/m + reverse_proxy localhost:3100 + } + + DNS: Add A record for brain.option.design → VPS IP. Caddy auto-provisions TLS certificate. + + Note: Caddy's rate limiting requires the caddy-ratelimit plugin. If not available, we can implement rate limiting in the Node.js app instead (simpler, no Caddy plugin needed). + + Step 9: AI Client Configuration + + MCP URL: https://brain.option.design/mcp + + ┌────────────────┬───────────────────────────────────────────────────────────────────────────────────────────────────────────────┐ + │ Client │ How to connect │ + ├────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ + │ Claude Desktop │ Settings → Connectors → Add remote MCP server → paste URL with ?key=ACCESS_KEY │ + ├────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ + │ Claude Code │ claude mcp add --transport http open-brain https://brain.option.design/mcp --header "x-brain-key: ACCESS_KEY" │ + ├────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ + │ ChatGPT │ Developer Mode → Apps & Connectors → Create → paste URL with ?key=ACCESS_KEY │ + ├────────────────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ + │ Cursor │ Add to .cursor/mcp.json with URL and key header │ + └────────────────┴───────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ + + --- + Environment Variables (.env) + + # Database (host.docker.internal = host machine from inside Docker) + DATABASE_URL=postgresql://brain_user:password@host.docker.internal:5432/brain + + # OpenRouter (AI gateway for embeddings + metadata extraction) + OPENROUTER_API_KEY=sk-or-... + + # Discord bot + DISCORD_BOT_TOKEN=... + DISCORD_CAPTURE_CHANNEL_ID=... + + # MCP endpoint authentication (generate with: openssl rand -hex 32) + MCP_ACCESS_KEY=... + + # Server port + PORT=3100 + + --- + Verification + + 1. Database: SSH to VPS → psql -d brain -c "SELECT count(*) FROM thoughts;" → returns 0 + 2. Discord capture: Send "Sarah is thinking about leaving her job to start consulting" in #capture → bot replies: Captured as person_note — career, consulting + 3. Discord query: Type /brain search career → bot returns the thought about Sarah + 4. Discord stats: Type /brain stats → bot shows 1 thought, type: person_note + 5. MCP capture: In Claude Code, say "Remember that I prefer dark mode in all apps" → thought stored in DB + 6. MCP search: Ask Claude "What do you know about my preferences?" → returns the dark mode thought + 7. MCP list: Ask Claude "Show me recent thoughts" → returns both thoughts + 8. Rate limit: Rapid-fire 30+ requests → subsequent requests get throttled + + --- + Current Status as of 3/6/2026 2:51:00 PM CST + --- + + ● The project is fully scaffolded and compiles cleanly. Here's a summary of what was built: + Files Created + ┌────────────────────┬─────────────────────────────────────────────────────────────────────┐ + │ File │ Purpose │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ sql/schema.sql │ PostgreSQL schema with pgvector, match_thoughts() function, indexes │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/types.ts │ TypeScript interfaces for Thought, ThoughtMetadata, etc. │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/db.ts │ PostgreSQL client — insert, search, list, stats queries │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/ai.ts │ OpenRouter API — getEmbedding() + extractMetadata() │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/ingest.ts │ Shared ingest pipeline — embed + extract + store │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/mcp.ts │ MCP server with 4 tools (search, list, stats, capture) │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/discord.ts │ Discord bot — message capture + /brain slash commands │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ src/index.ts │ Hono HTTP server entry point, MCP auth, starts Discord bot │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ Dockerfile │ Multi-stage Docker build (Node 22 Alpine) │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ docker-compose.yml │ Container config with host.docker.internal for PostgreSQL │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ .env.example │ Template for environment variables │ + ├────────────────────┼─────────────────────────────────────────────────────────────────────┤ + │ .gitignore │ Excludes node_modules, dist, .env │ + └────────────────────┴─────────────────────────────────────────────────────────────────────┘ + + Next Steps (on your VPS) + + 1. Create Discord bot at discord.com/developers — get bot token, enable MESSAGE CONTENT intent, invite to server + 2. Create .env from .env.example with your real credentials + 3. Run schema on PostgreSQL: psql -d brain -f sql/schema.sql (ensure pgvector extension is available) + 4. Add DNS A record for brain.option.design → VPS IP + 5. Add Caddy block for brain.option.design → localhost:3100 + 6. Deploy: docker compose up -d --build + 7. Connect AI clients using the MCP URL + + Want me to commit this to the repo, or would you like to review anything first? \ No newline at end of file diff --git a/sql/schema.sql b/sql/schema.sql new file mode 100644 index 0000000..ab73306 --- /dev/null +++ b/sql/schema.sql @@ -0,0 +1,58 @@ +CREATE EXTENSION IF NOT EXISTS vector; + +CREATE TABLE IF NOT EXISTS thoughts ( + id UUID DEFAULT gen_random_uuid() PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + content TEXT NOT NULL, + embedding VECTOR(1536), + metadata JSONB DEFAULT '{}'::jsonb, + source TEXT NOT NULL DEFAULT 'mcp', + created_at TIMESTAMPTZ DEFAULT now(), + updated_at TIMESTAMPTZ DEFAULT now() +); + +CREATE INDEX IF NOT EXISTS thoughts_embedding_idx ON thoughts USING hnsw (embedding vector_cosine_ops); +CREATE INDEX IF NOT EXISTS thoughts_metadata_idx ON thoughts USING gin (metadata); +CREATE INDEX IF NOT EXISTS thoughts_created_at_idx ON thoughts (created_at DESC); +CREATE INDEX IF NOT EXISTS thoughts_user_id_idx ON thoughts (user_id); + +-- Auto-update trigger for updated_at +CREATE OR REPLACE FUNCTION update_updated_at() RETURNS TRIGGER AS $$ +BEGIN + NEW.updated_at = now(); + RETURN NEW; +END; +$$ LANGUAGE plpgsql; + +DROP TRIGGER IF EXISTS thoughts_updated_at ON thoughts; +CREATE TRIGGER thoughts_updated_at + BEFORE UPDATE ON thoughts + FOR EACH ROW EXECUTE FUNCTION update_updated_at(); + +-- Semantic search function +CREATE OR REPLACE FUNCTION match_thoughts( + query_embedding VECTOR(1536), + match_threshold FLOAT DEFAULT 0.7, + match_count INT DEFAULT 10, + filter JSONB DEFAULT '{}'::jsonb +) RETURNS TABLE ( + id UUID, + content TEXT, + metadata JSONB, + similarity FLOAT, + created_at TIMESTAMPTZ +) LANGUAGE plpgsql AS $$ +BEGIN + RETURN QUERY + SELECT + t.id, + t.content, + t.metadata, + (1 - (t.embedding <=> query_embedding))::FLOAT AS similarity, + t.created_at + FROM thoughts t + WHERE 1 - (t.embedding <=> query_embedding) > match_threshold + ORDER BY t.embedding <=> query_embedding + LIMIT match_count; +END; +$$; diff --git a/src/ai.ts b/src/ai.ts new file mode 100644 index 0000000..f8885ca --- /dev/null +++ b/src/ai.ts @@ -0,0 +1,85 @@ +import { ThoughtMetadata } from "./types"; + +const OPENROUTER_URL = "https://openrouter.ai/api/v1"; + +function getApiKey(): string { + const key = process.env.OPENROUTER_API_KEY; + if (!key) throw new Error("OPENROUTER_API_KEY not set"); + return key; +} + +export async function getEmbedding(text: string): Promise { + const res = await fetch(`${OPENROUTER_URL}/embeddings`, { + method: "POST", + headers: { + Authorization: `Bearer ${getApiKey()}`, + "Content-Type": "application/json", + }, + body: JSON.stringify({ + model: "openai/text-embedding-3-small", + input: text, + }), + }); + + if (!res.ok) { + const err = await res.text(); + throw new Error(`OpenRouter embedding error (${res.status}): ${err}`); + } + + const data: any = await res.json(); + return data.data[0].embedding; +} + +const METADATA_SYSTEM_PROMPT = `You are a metadata extraction engine. Given a thought or note, extract structured metadata as JSON. + +Return ONLY valid JSON matching this schema: +{ + "type": one of "observation", "task", "idea", "reference", "person_note", + "topics": array of 1-4 short topic tags, + "people": array of people mentioned (empty if none), + "action_items": array of action items (empty if none), + "dates_mentioned": array of dates in YYYY-MM-DD format (empty if none) +} + +Choose the most appropriate type: +- observation: general notes, things noticed +- task: something to do, reminders +- idea: creative thoughts, possibilities +- reference: facts, links, technical info +- person_note: notes about a specific person`; + +export async function extractMetadata(text: string): Promise { + const res = await fetch(`${OPENROUTER_URL}/chat/completions`, { + method: "POST", + headers: { + Authorization: `Bearer ${getApiKey()}`, + "Content-Type": "application/json", + }, + body: JSON.stringify({ + model: "openai/gpt-4o-mini", + messages: [ + { role: "system", content: METADATA_SYSTEM_PROMPT }, + { role: "user", content: text }, + ], + response_format: { type: "json_object" }, + temperature: 0, + }), + }); + + if (!res.ok) { + const err = await res.text(); + throw new Error(`OpenRouter metadata error (${res.status}): ${err}`); + } + + const data: any = await res.json(); + const content = data.choices[0].message.content; + const parsed = JSON.parse(content); + + return { + type: parsed.type || "observation", + topics: parsed.topics || [], + people: parsed.people || [], + action_items: parsed.action_items || [], + dates_mentioned: parsed.dates_mentioned || [], + }; +} diff --git a/src/db.ts b/src/db.ts new file mode 100644 index 0000000..2ef1379 --- /dev/null +++ b/src/db.ts @@ -0,0 +1,125 @@ +import { Pool } from "pg"; +import pgvector from "pgvector/pg"; +import { ThoughtMetadata, ThoughtMatch, Thought } from "./types"; + +const pool = new Pool({ + connectionString: process.env.DATABASE_URL, +}); + +pool.on("connect", async (client) => { + await pgvector.registerTypes(client); +}); + +export async function insertThought( + content: string, + embedding: number[], + metadata: ThoughtMetadata, + source: "discord" | "mcp" +): Promise { + const result = await pool.query( + `INSERT INTO thoughts (content, embedding, metadata, source) + VALUES ($1, $2, $3, $4) + RETURNING id`, + [content, pgvector.toSql(embedding), JSON.stringify(metadata), source] + ); + return result.rows[0].id; +} + +export async function searchThoughts( + embedding: number[], + limit: number = 10, + threshold: number = 0.7 +): Promise { + const result = await pool.query( + `SELECT * FROM match_thoughts($1, $2, $3)`, + [pgvector.toSql(embedding), threshold, limit] + ); + return result.rows; +} + +export async function listThoughts(options: { + limit?: number; + type?: string; + topic?: string; + person?: string; + days?: number; +}): Promise { + const conditions: string[] = []; + const params: unknown[] = []; + let paramIndex = 1; + + if (options.type) { + conditions.push(`metadata->>'type' = $${paramIndex++}`); + params.push(options.type); + } + if (options.topic) { + conditions.push(`metadata->'topics' ? $${paramIndex++}`); + params.push(options.topic); + } + if (options.person) { + conditions.push(`metadata->'people' ? $${paramIndex++}`); + params.push(options.person); + } + if (options.days) { + conditions.push(`created_at > now() - interval '${Number(options.days)} days'`); + } + + const where = conditions.length > 0 ? `WHERE ${conditions.join(" AND ")}` : ""; + const limit = Math.min(options.limit || 20, 100); + + const result = await pool.query( + `SELECT id, user_id, content, metadata, source, created_at, updated_at + FROM thoughts ${where} + ORDER BY created_at DESC + LIMIT ${limit}`, + params + ); + return result.rows; +} + +export async function getThoughtStats(): Promise<{ + total: number; + by_type: Record; + by_source: Record; + recent_topics: string[]; + last_captured: Date | null; +}> { + const [totalRes, typeRes, sourceRes, topicsRes, lastRes] = await Promise.all([ + pool.query(`SELECT count(*)::int AS total FROM thoughts`), + pool.query( + `SELECT metadata->>'type' AS type, count(*)::int AS count + FROM thoughts GROUP BY metadata->>'type' ORDER BY count DESC` + ), + pool.query( + `SELECT source, count(*)::int AS count + FROM thoughts GROUP BY source ORDER BY count DESC` + ), + pool.query( + `SELECT DISTINCT jsonb_array_elements_text(metadata->'topics') AS topic + FROM thoughts + WHERE created_at > now() - interval '7 days' + LIMIT 20` + ), + pool.query( + `SELECT created_at FROM thoughts ORDER BY created_at DESC LIMIT 1` + ), + ]); + + const by_type: Record = {}; + for (const row of typeRes.rows) { + if (row.type) by_type[row.type] = row.count; + } + + const by_source: Record = {}; + for (const row of sourceRes.rows) { + by_source[row.source] = row.count; + } + + return { + total: totalRes.rows[0].total, + by_type, + by_source, + recent_topics: topicsRes.rows.map((r) => r.topic), + last_captured: lastRes.rows[0]?.created_at || null, + }; +} diff --git a/src/discord.ts b/src/discord.ts new file mode 100644 index 0000000..e94d1bd --- /dev/null +++ b/src/discord.ts @@ -0,0 +1,177 @@ +import { + Client, + GatewayIntentBits, + Events, + REST, + Routes, + SlashCommandBuilder, + ChatInputCommandInteraction, + Message, +} from "discord.js"; +import { ingestThought, formatIngestResult } from "./ingest"; +import { searchThoughts, listThoughts, getThoughtStats } from "./db"; +import { getEmbedding } from "./ai"; +import { ThoughtMatch, Thought } from "./types"; + +const CAPTURE_CHANNEL_ID = process.env.DISCORD_CAPTURE_CHANNEL_ID || ""; + +const commands = [ + new SlashCommandBuilder() + .setName("brain") + .setDescription("Interact with your Open Brain") + .addSubcommand((sub) => + sub + .setName("search") + .setDescription("Search your brain semantically") + .addStringOption((opt) => + opt.setName("query").setDescription("What to search for").setRequired(true) + ) + ) + .addSubcommand((sub) => + sub + .setName("recent") + .setDescription("List recent thoughts") + .addIntegerOption((opt) => + opt.setName("count").setDescription("Number of thoughts (default 10)").setRequired(false) + ) + ) + .addSubcommand((sub) => + sub.setName("stats").setDescription("Show brain statistics") + ), +]; + +async function registerSlashCommands(token: string, clientId: string) { + const rest = new REST({ version: "10" }).setToken(token); + await rest.put(Routes.applicationCommands(clientId), { + body: commands.map((c) => c.toJSON()), + }); + console.log("[discord] Slash commands registered globally"); +} + +async function handleSearch(interaction: ChatInputCommandInteraction) { + await interaction.deferReply(); + const query = interaction.options.getString("query", true); + + const embedding = await getEmbedding(query); + const results = await searchThoughts(embedding, 5, 0.7); + + if (results.length === 0) { + await interaction.editReply("No matching thoughts found."); + return; + } + + const text = results + .map((r: ThoughtMatch, i: number) => { + const date = new Date(r.created_at).toLocaleDateString(); + return `**${i + 1}.** [${r.metadata.type}] ${r.content}\n> Topics: ${r.metadata.topics.join(", ") || "none"} | ${(r.similarity * 100).toFixed(0)}% match | ${date}`; + }) + .join("\n\n"); + + await interaction.editReply(text.slice(0, 2000)); +} + +async function handleRecent(interaction: ChatInputCommandInteraction) { + await interaction.deferReply(); + const count = interaction.options.getInteger("count") || 10; + + const results = await listThoughts({ limit: count }); + if (results.length === 0) { + await interaction.editReply("No thoughts captured yet."); + return; + } + + const text = results + .map((r: Thought, i: number) => { + const date = new Date(r.created_at).toLocaleDateString(); + return `**${i + 1}.** [${r.metadata.type}] ${r.content}\n> ${r.metadata.topics.join(", ") || "no topics"} | ${r.source} | ${date}`; + }) + .join("\n\n"); + + await interaction.editReply(text.slice(0, 2000)); +} + +async function handleStats(interaction: ChatInputCommandInteraction) { + await interaction.deferReply(); + const stats = await getThoughtStats(); + + const typeLines = Object.entries(stats.by_type) + .map(([type, count]) => ` ${type}: ${count}`) + .join("\n"); + + const text = [ + `**Total thoughts:** ${stats.total}`, + "", + "**By type:**", + typeLines || " (none)", + "", + `**Recent topics (7 days):** ${stats.recent_topics.join(", ") || "(none)"}`, + "", + `**Last captured:** ${stats.last_captured ? new Date(stats.last_captured).toLocaleString() : "(never)"}`, + ].join("\n"); + + await interaction.editReply(text); +} + +async function handleMessage(message: Message) { + if (message.author.bot) return; + if (message.channel.id !== CAPTURE_CHANNEL_ID) return; + if (!message.content.trim()) return; + + try { + const result = await ingestThought(message.content, "discord"); + await message.reply(formatIngestResult(result)); + } catch (err) { + console.error("[discord] Ingest error:", err); + await message.reply("Failed to capture thought. Check server logs."); + } +} + +export async function startDiscordBot(): Promise { + const token = process.env.DISCORD_BOT_TOKEN; + if (!token) throw new Error("DISCORD_BOT_TOKEN not set"); + if (!CAPTURE_CHANNEL_ID) throw new Error("DISCORD_CAPTURE_CHANNEL_ID not set"); + + const client = new Client({ + intents: [ + GatewayIntentBits.Guilds, + GatewayIntentBits.GuildMessages, + GatewayIntentBits.MessageContent, + ], + }); + + client.once(Events.ClientReady, async (c) => { + console.log(`[discord] Bot ready as ${c.user.tag}`); + await registerSlashCommands(token, c.user.id); + }); + + client.on(Events.MessageCreate, handleMessage); + + client.on(Events.InteractionCreate, async (interaction) => { + if (!interaction.isChatInputCommand()) return; + if (interaction.commandName !== "brain") return; + + try { + const sub = interaction.options.getSubcommand(); + switch (sub) { + case "search": + await handleSearch(interaction); + break; + case "recent": + await handleRecent(interaction); + break; + case "stats": + await handleStats(interaction); + break; + } + } catch (err) { + console.error("[discord] Command error:", err); + const reply = interaction.deferred + ? interaction.editReply("An error occurred.") + : interaction.reply("An error occurred."); + await reply; + } + }); + + await client.login(token); + return client; +} diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 0000000..f76cda0 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,62 @@ +import { serve } from "@hono/node-server"; +import { Hono } from "hono"; +import { WebStandardStreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/webStandardStreamableHttp.js"; +import { createMcpServer } from "./mcp"; +import { startDiscordBot } from "./discord"; + +const app = new Hono(); +const PORT = parseInt(process.env.PORT || "3100", 10); +const MCP_ACCESS_KEY = process.env.MCP_ACCESS_KEY || ""; + +function authenticate(req: Request): boolean { + if (!MCP_ACCESS_KEY) return false; + const headerKey = req.headers.get("x-brain-key"); + if (headerKey === MCP_ACCESS_KEY) return true; + const url = new URL(req.url); + const paramKey = url.searchParams.get("key"); + return paramKey === MCP_ACCESS_KEY; +} + +// Health check +app.get("/", (c) => c.json({ status: "ok", service: "open-brain" })); + +// MCP endpoint — stateless: new transport per request, connect server, handle, close +app.all("/mcp", async (c) => { + if (!authenticate(c.req.raw)) { + return c.json({ error: "Unauthorized" }, 401); + } + + const server = createMcpServer(); + const transport = new WebStandardStreamableHTTPServerTransport({ + sessionIdGenerator: undefined, + }); + + await server.connect(transport); + + try { + return await transport.handleRequest(c.req.raw); + } finally { + await server.close(); + } +}); + +// Start everything +async function main() { + if (!MCP_ACCESS_KEY) { + console.error("MCP_ACCESS_KEY is not set. Generate one with: openssl rand -hex 32"); + process.exit(1); + } + + serve({ fetch: app.fetch, port: PORT }, () => { + console.log(`[server] Open Brain listening on port ${PORT}`); + }); + + try { + await startDiscordBot(); + } catch (err) { + console.error("[discord] Failed to start bot:", err); + console.error("[discord] The MCP server will continue running without Discord."); + } +} + +main(); diff --git a/src/ingest.ts b/src/ingest.ts new file mode 100644 index 0000000..a49f92c --- /dev/null +++ b/src/ingest.ts @@ -0,0 +1,37 @@ +import { getEmbedding, extractMetadata } from "./ai"; +import { insertThought } from "./db"; +import { IngestResult } from "./types"; + +export async function ingestThought( + content: string, + source: "discord" | "mcp" +): Promise { + const [embedding, metadata] = await Promise.all([ + getEmbedding(content), + extractMetadata(content), + ]); + + const id = await insertThought(content, embedding, metadata, source); + + return { + id, + type: metadata.type, + topics: metadata.topics, + people: metadata.people, + action_items: metadata.action_items, + }; +} + +export function formatIngestResult(result: IngestResult): string { + let msg = `Captured as ${result.type}`; + if (result.topics.length > 0) { + msg += ` — ${result.topics.join(", ")}`; + } + if (result.people.length > 0) { + msg += `\nPeople: ${result.people.join(", ")}`; + } + if (result.action_items.length > 0) { + msg += `\nAction items: ${result.action_items.join(", ")}`; + } + return msg; +} diff --git a/src/mcp.ts b/src/mcp.ts new file mode 100644 index 0000000..e36f449 --- /dev/null +++ b/src/mcp.ts @@ -0,0 +1,109 @@ +import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; +import { z } from "zod"; +import { searchThoughts, listThoughts, getThoughtStats } from "./db"; +import { getEmbedding } from "./ai"; +import { ingestThought, formatIngestResult } from "./ingest"; +import { ThoughtMatch, Thought } from "./types"; + +export function createMcpServer(): McpServer { + const server = new McpServer({ + name: "open-brain", + version: "1.0.0", + }); + + server.tool( + "search_thoughts", + "Search your brain using semantic similarity. Use this when looking for specific topics, people, or concepts.", + { + query: z.string().describe("What to search for"), + limit: z.number().optional().default(10).describe("Max results (default 10)"), + threshold: z.number().optional().default(0.7).describe("Similarity threshold 0-1 (default 0.7)"), + }, + async ({ query, limit, threshold }) => { + const embedding = await getEmbedding(query); + const results = await searchThoughts(embedding, limit, threshold); + if (results.length === 0) { + return { content: [{ type: "text" as const, text: "No matching thoughts found." }] }; + } + const text = results + .map((r: ThoughtMatch, i: number) => { + const date = new Date(r.created_at).toLocaleDateString(); + const meta = r.metadata; + return `${i + 1}. [${meta.type}] ${r.content}\n Topics: ${meta.topics.join(", ") || "none"} | Similarity: ${(r.similarity * 100).toFixed(0)}% | ${date}`; + }) + .join("\n\n"); + return { content: [{ type: "text" as const, text }] }; + } + ); + + server.tool( + "list_thoughts", + "List recent thoughts with optional filters. Use this to browse or filter by type, topic, person, or time range.", + { + limit: z.number().optional().default(20).describe("Max results (default 20)"), + type: z.string().optional().describe("Filter by type: observation, task, idea, reference, person_note"), + topic: z.string().optional().describe("Filter by topic tag"), + person: z.string().optional().describe("Filter by person name"), + days: z.number().optional().describe("Only thoughts from the last N days"), + }, + async ({ limit, type, topic, person, days }) => { + const results = await listThoughts({ limit, type, topic, person, days }); + if (results.length === 0) { + return { content: [{ type: "text" as const, text: "No thoughts found matching those filters." }] }; + } + const text = results + .map((r: Thought, i: number) => { + const date = new Date(r.created_at).toLocaleDateString(); + const meta = r.metadata; + return `${i + 1}. [${meta.type}] ${r.content}\n Topics: ${meta.topics.join(", ") || "none"} | Source: ${r.source} | ${date}`; + }) + .join("\n\n"); + return { content: [{ type: "text" as const, text: `${results.length} thoughts:\n\n${text}` }] }; + } + ); + + server.tool( + "thought_stats", + "Get aggregate statistics about your brain: total thoughts, breakdown by type, recent topics, and more.", + {}, + async () => { + const stats = await getThoughtStats(); + const typeBreakdown = Object.entries(stats.by_type) + .map(([type, count]) => ` ${type}: ${count}`) + .join("\n"); + const sourceBreakdown = Object.entries(stats.by_source) + .map(([source, count]) => ` ${source}: ${count}`) + .join("\n"); + const text = [ + `Total thoughts: ${stats.total}`, + "", + "By type:", + typeBreakdown || " (none)", + "", + "By source:", + sourceBreakdown || " (none)", + "", + `Recent topics (7 days): ${stats.recent_topics.join(", ") || "(none)"}`, + "", + `Last captured: ${stats.last_captured ? new Date(stats.last_captured).toLocaleString() : "(never)"}`, + ].join("\n"); + return { content: [{ type: "text" as const, text }] }; + } + ); + + server.tool( + "capture_thought", + "Save a new thought to the brain. Use this when the user wants to remember something, save a note, or store information for later.", + { + content: z.string().describe("The thought or note to capture"), + }, + async ({ content }) => { + const result = await ingestThought(content, "mcp"); + return { + content: [{ type: "text" as const, text: formatIngestResult(result) }], + }; + } + ); + + return server; +} diff --git a/src/types.ts b/src/types.ts new file mode 100644 index 0000000..f558638 --- /dev/null +++ b/src/types.ts @@ -0,0 +1,34 @@ +export interface ThoughtMetadata { + type: "observation" | "task" | "idea" | "reference" | "person_note"; + topics: string[]; + people: string[]; + action_items: string[]; + dates_mentioned: string[]; +} + +export interface Thought { + id: string; + user_id: string; + content: string; + embedding: number[] | null; + metadata: ThoughtMetadata; + source: "discord" | "mcp"; + created_at: Date; + updated_at: Date; +} + +export interface ThoughtMatch { + id: string; + content: string; + metadata: ThoughtMetadata; + similarity: number; + created_at: Date; +} + +export interface IngestResult { + id: string; + type: string; + topics: string[]; + people: string[]; + action_items: string[]; +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..1951778 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,19 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "commonjs", + "lib": ["ES2022"], + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "declaration": true, + "declarationMap": true, + "sourceMap": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +}