second-brain
Provides a Docker container for managing markdown notes with semantic search and an MCP server to expose brain tools to AI clients like Claude.
README
second-brain
Docker container for brain management: zk, semantic search, and Model Context Protocol (MCP) server for Claude Code and Claude Desktop.
The second-brain provides a set of tools and skills to manage a brain of markdown notes using semantic search, structured metadata, and AI capabilities.
Quick start
No repository clone is required to run the second-brain — the Docker image includes everything needed.
# 1. Create a directory for your brain (or use an existing notes folder)
mkdir -p ~/Documents/brain
# 2. Run the setup wizard (choose model provider, create folders, generate .env)
docker run --rm -it \
-v ~/Documents/brain:/brain \
kitchencoder/second-brain:latest \
brain-init
# 3. Start the container
docker run -d --name second-brain --restart unless-stopped \
-v ~/Documents/brain:/brain \
-v second-brain-claude:/home/coder/.claude \
-v second-brain-zsh:/home/coder/.zsh-data \
-p 7779:7779 -p 7780:7780 \
kitchencoder/second-brain:latest
The brain-init wizard will guide you through picking your model provider and embedding model (presets for Docker Model Runner, Ollama, LM Studio, and Anthropic API).
Tiers: the quickstart above is the core image (MCP + brain tools only). Want a browser IDE on top? See the code-server recipe. Want vectors in Postgres instead of the embedded SQLite index? See the full-stack compose recipe.
Documentation Index
For Users
- User Guide: Installation, Host configuration, and how to use the brain.
- Brain Guide: Philosophy and structure of your brain (folders, frontmatter, tags).
- MCP Server: How to connect your brain to AI clients (Claude Code, Claude Desktop, Open WebUI, etc).
- Brain Skills: Detailed list of all AI skills available for managing your brain.
- Authentication: Gate the REST API and MCP HTTP transport behind static tokens or OAuth 2.1 (
profile.auth.mode, default off). - Recipes: Browser IDE (code-server) and full-stack (Postgres/pgvector) layers on top of the core image.
For Developers
- Development Guide: How to build the image, run in development mode, and create new skills or tools.
- CHANGELOG: What has landed in each release.
At a glance
- Semantic Search: Find notes by meaning, not just keywords.
- MCP Server: Expose your brain tools to any Model Context Protocol client.
- Claude Code Integration: Custom skills for note capture, triage, and management.
- Profiles: One engine runs many brains — the default ace profile is cloned on first init; flavours like obsidian and custom forks (folders, skills, templates, queryable fields) are one env var away.
- Multi-platform: Runs anywhere Docker does; works with Obsidian and VS Code on the host.
- Privacy First: Designed to run with local models via Docker Model Runner or Ollama.
Roadmap
The profile refactor shipped in 2.0.0: the engine (this Docker image: search, MCP, editing, auth) is fully separated from the profile (a brain's folders, templates, skills, identity, and queryable fields) — one engine, many brains, no fork.
Landed:
- Profile-driven engine — a brain self-describes via
<brain>/.brain/ - Profiles live in their own public repos (ace, obsidian); the default is cloned from
brain-profile-aceon first init, withprofile.tomlschema versioning - Profile-driven queries — metadata filters adapt to each profile's fields
- Auth — static per-principal bearer tokens and an OAuth 2.1 authorization server behind
profile.auth.mode(defaultnone). See the Authentication guide. - Content visibility / RBAC — role-based read/write layers, oracle-safe. See docs/rbac.md.
- Full-stack tier — Postgres/pgvector index store, admin plane + agent credentials, per-principal retrieval log
- Per-brain host identity (
brain-init --brain-name) and a configurable MCP endpoint for tunnel/reverse-proxy deployments
Planned:
- Admin UI for the RBAC tier
- Community profiles
Custom profiles are covered in the User Guide; the running record is in the CHANGELOG.
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