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Coach Memory

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A personal career-coach memory service that ingests coaching logs, embeds them for semantic search, and exposes the memory to Claude clients via MCP, with a Nex

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Описание

A personal career-coach memory service that ingests coaching logs, embeds them for semantic search, and exposes the memory to Claude clients via MCP, with a Next.js dashboard for browsing.

README

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)

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

Variable Used by Purpose
DATABASE_URL app, migrate, scripts Postgres connection string
OPENAI_API_KEY app Embeddings for ingest/search
BETTER_AUTH_SECRET app BetterAuth session/token signing secret
BETTER_AUTH_URL app Public base URL BetterAuth issues callbacks against
COACH_MEMORY_URL sync CLI Base URL of the Personal Coach server to sync against
COACH_SYNC_API_KEY sync CLI API key (from create-api-key) used to authenticate sync pushes/pulls

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.

npm link                              # one-time, from this repo
personal-coach login                  # one-time: prompts for server URL + API key,
                                      # verifies them, and stores them (0600) in
                                      # ~/.config/personal-coach/config.json
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.

Authentication. After personal-coach login, credentials persist, so no secret needs to live in a script or scheduled-routine prompt. COACH_MEMORY_URL and COACH_SYNC_API_KEY environment variables still work and take precedence over the stored login when set (handy for CI or one-off overrides). Non-interactive login: personal-coach login --url https://… --key <key>, or pass the key via the COACH_SYNC_API_KEY env var to keep it out of shell history.

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.

from github.com/gianniskotsas/personal-coach

Установка Coach Memory

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/gianniskotsas/personal-coach

FAQ

Coach Memory MCP бесплатный?

Да, Coach Memory MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Coach Memory?

Нет, Coach Memory работает без API-ключей и переменных окружения.

Coach Memory — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Coach Memory в Claude Desktop, Claude Code или Cursor?

Открой Coach Memory на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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