Personal Coach

A personal career-coach memory service. It ingests daily/weekly/quarterly coaching logs and notes, embeds them into Postgres (pgvector) for hybrid semantic + keyword search, and exposes that memory to Claude clients over an MCP server behind BetterAuth (OAuth + API keys). It also serves a small Next.js dashboard (timeline, search, notes capture, analytics) for browsing the same data directly.

Prerequisites

• Node.js 22+

• Docker (for the local Postgres/pgvector instance)

Related MCP server: mcp-server-claude

Local setup

1. Start Postgres:

   docker compose up -d

2. Copy/create .env.local with the required env vars (see below).

3. Apply the schema (coach tables + better-auth tables):

   npm run migrate

4. Create a login user and a sync API key:

   ALLOW_SIGNUP=true npm run create-user -- <email> <password>
   npm run create-api-key -- sync-cli

Environment variables

Scripts

npm test          # run the test suite (vitest, against .env.test)
npm run build     # production build (next build)
npm run sync      # push local docs, pull notes mirror, watermark progress

CLI

A standalone personal-coach CLI is available for ingest and read access (search, notes, context, person history, sync status) without the MCP/OAuth flow — useful for scripts, cron jobs, or terminal use. It authenticates with the same COACH_SYNC_API_KEY the sync script uses.

npm link                              # one-time, from this repo
personal-coach ingest                 # push career-coach/state/, pull new notes
personal-coach ingest path/to/file.json   # push just one file
personal-coach search "cash management" --topK=5
personal-coach notes list --type=idea
personal-coach notes add "some thought" --type=thought --tags=a,b
personal-coach context week 2026-06-15
personal-coach person "Tom" --since=2026-01-01
personal-coach status

Add --json to any read command for machine-readable output.

Production deploy

Coolify (recommended — one resource, no manual proxy/DB wiring)

docker-compose.coolify.yml deploys the app and its pgvector database together as a single "Docker Compose" resource:

1. In Coolify: New Resource → Docker Compose, point it at this repo, and set the Compose file path to docker-compose.coolify.yml.

2. Set two environment variables in the Coolify UI: OPENAI_API_KEY and BETTER_AUTH_SECRET (openssl rand -hex 32). Everything else — the DB credentials, the app's public domain and TLS cert — is generated and wired automatically via Coolify's SERVICE_FQDN/SERVICE_URL magic variables.

3. Deploy. The schema applies itself on every container boot (see scripts/docker-entrypoint.mjs), so there's no separate migrate step.

4. One-time bootstrap: temporarily expose the db service's port (or use an SSH tunnel to the Coolify host), then from your local checkout run against that DATABASE_URL:

   ALLOW_SIGNUP=true npm run create-user -- <email> <password>
   npm run create-api-key -- sync-cli

5. Connect a Claude client to https://<the-domain-coolify-assigned>/mcp.

Any other container host

The plain Dockerfile at the repo root also builds a standalone image on its own — point it at any pgvector/pgvector Postgres instance, set the environment variables above, and front it with your own TLS/reverse-proxy setup (e.g. a Cloudflare Tunnel). The image still self-migrates on boot, so no separate npm run migrate step is needed; only the one-time user/API-key bootstrap above applies.