big-brain
Enables AI assistants to read and write to a personal knowledge vault of markdown notes, projects, and tasks, with tooling for search, capture, daily logs, and project management across different AI tools.
README
big-brain 🧠
A second brain for you and your AI assistants. Plain-markdown notes, projects, and tasks — Obsidian-compatible, owned by you, readable and writable by any LLM through the Model Context Protocol.
Your AI tools each keep their own memory of you, siloed and invisible. big-brain inverts that: one knowledge vault you own, that every assistant reads and writes. Claude Code, Claude Desktop, ChatGPT, Cursor — they all see the same projects, the same tasks, the same notes. Switch models freely; your context comes with you.
- Plain markdown files. No database, no lock-in. Open the vault in Obsidian, grep it, put it in git.
- MCP server with 21 tools: search, capture, daily logs, project and task management, link graph, vault health.
- CLI for humans:
big-brain status,big-brain capture,big-brain tasks. - Claude Code skills —
/brain,/capture,/weekly— installed with one command. - Projects as the unit of work — each is one file with a goal, checkbox tasks, and a running log.
- Deterministic retrieval: full-text search (fuzzy, title-boosted),
[[wikilink]]graph with backlinks, tags, frontmatter queries. No embeddings, no API keys, works offline. - Optional git auto-commit + push — flip a config flag and every write, from any tool, is committed and pushed automatically, so saves never sit uncommitted and your other machines stay in sync. Best-effort: a git failure never blocks a save.
Requires Node 20+.
Install
big-brain isn't on npm yet, so install from source (one-time):
git clone https://github.com/jzhao234/big-brain.git
cd big-brain
npm install
npm run build
npm link # puts `big-brain` and `big-brain-mcp` on your PATH
npm link skips -g install quirks and lets you git pull && npm run build to update later. (Once published, this becomes npm i -g big-brain.)
Quickstart
big-brain init ~/brain --name "My Brain" # scaffold a vault
cd ~/brain
big-brain status # look around
big-brain install-skills # add the /brain, /capture, /weekly skills
Then connect an AI tool (below) and, optionally, seed the vault from your existing AI history.
Connect your AI tools
The MCP server is the same everywhere: command big-brain-mcp, vault chosen by --vault <dir> or the BIG_BRAIN_VAULT env var.
Claude Code
claude mcp add --scope user big-brain -- big-brain-mcp --vault ~/brain
claude mcp list # expect: big-brain ... ✔ Connected
Claude Desktop / Cursor / other MCP clients — add to the MCP config (e.g. claude_desktop_config.json). Use an absolute command path: GUI apps are launched without your shell's PATH, so a bare big-brain-mcp may not resolve (run which big-brain-mcp to get it).
{
"mcpServers": {
"big-brain": {
"command": "/absolute/path/to/big-brain-mcp",
"args": ["--vault", "/absolute/path/to/brain"]
}
}
}
ChatGPT and other MCP clients — any client that speaks MCP over stdio works the same way. For clients without MCP, the CLI's --json output makes the vault scriptable.
Browser (claude.ai / ChatGPT) — cloud AIs can't launch a local stdio server. The zero-infra option is to connect them to your vault's GitHub repo and let them read/write the markdown directly (you lose the computed overview/search/task tools — it's raw file access). See docs/browser-github-connector.md and paste prompts/browser-github-instructions.md.
Then teach the assistant how to use the vault: Claude Code reads the vault's CLAUDE.md automatically; for other tools, paste prompts/agent-instructions.md into their custom instructions.
Using it: load and save
The whole point is that you never re-feed context. The assistant loads a small, relevant slice on demand and saves small pieces as you work — you just talk to it.
Load — orient at the start, pull details as needed:
| You want to… | In Claude Code | CLI |
|---|---|---|
| "What am I working on?" | /brain |
big-brain status |
| Find notes about X | "search my brain for X" | big-brain search X |
| Read one note | "read the Auth project" | big-brain show "Auth" |
| See tasks / projects | "what's due?" | big-brain tasks, big-brain projects |
Save — as decisions, progress, and ideas happen (append-first; never destructive):
| You want to… | In Claude Code | CLI |
|---|---|---|
| Stash a stray thought | /capture <text> |
big-brain capture "…" |
| Log a decision / progress | "log that I shipped X" | big-brain daily --log "…" |
| Add a task | "add a task to project Y" | big-brain task add "…" --note Y |
| Finish a task | "mark that done" | big-brain task done <id> |
| Start a project | "new project: …" | big-brain project new "…" |
Review — /weekly runs a guided pass: triage the inbox, prune projects, reschedule overdue tasks, fix broken links.
Skills (Claude Code)
Three Claude Code skills wrap the tools into slash-commands:
/brain— load the overview and switch into brain-aware mode for the session/capture— zero-friction capture to the inbox/weekly— a guided weekly review
big-brain install-skills # add them to ~/.claude/skills (skips existing)
big-brain install-skills --force # overwrite existing versions
They're path-agnostic — they call the big-brain CLI / MCP tools and resolve the vault from BIG_BRAIN_VAULT (or --vault), so the same skill works on every machine. Restart Claude Code to pick them up.
Use it on multiple machines
The vault is a git repo, so this is just git: clone it on each machine, and each machine runs its own big-brain-mcp against its own clone. Git keeps them in sync.
-
Write side — automatic. Set
git.autoCommit(andgit.autoPush) inbrain.config.jsonand every write — from any tool, any machine — is committed and pushed. See docs/vault-spec.md. -
Read side — pull before you start. Add a
SessionStarthook so a session always opens on the latest:// ~/.claude/settings.json "hooks": { "SessionStart": [ { "hooks": [ { "type": "command", "command": "git -C \"$HOME/brain\" pull --ff-only --quiet 2>/dev/null || true" } ] } ] }--ff-onlymeans a pull never clobbers local work. (Or justgit -C ~/brain pullby hand.)
On a fresh machine: install big-brain (above), git clone your vault, big-brain install-skills, register the MCP server. Four commands and you're identical to your other machines.
Seed it from your existing AI history
Your LLMs already know a lot about you. prompts/seed-interview.md is a structured interview prompt — run it in ChatGPT, Claude, Gemini, wherever you have history; drop each output into inbox/; then ask a vault-connected assistant to run the process-inbox prompt to merge it all into real notes, projects, and tasks.
The vault
brain/
├── BRAIN.md # index & ground rules
├── CLAUDE.md # agent instructions (picked up by Claude Code)
├── brain.config.json
├── inbox/ # capture now, organize later
├── daily/ # one note per day: focus, log, tasks
├── projects/ # one file per project: goal, tasks, log
├── areas/ # ongoing responsibilities
├── notes/ # evergreen knowledge, densely [[linked]]
├── people/ # one note per person
├── reference/ # external facts, docs, how-tos
├── archive/ # nothing is deleted, only archived
└── templates/ # daily/project/note/person templates
Notes are markdown + YAML frontmatter (type, tags, status, due…). Tasks are - [ ] checkboxes with Obsidian Tasks-style metadata: 📅 2026-03-01 due, ⏫ priority, ✅ done-date. Full details in docs/vault-spec.md.
MCP tools
| Tool | What it does |
|---|---|
brain_overview |
Orient: active projects, due/overdue tasks, inbox, recent notes |
search_notes |
Full-text search with type/tag/folder/status filters |
read_note / list_notes |
Read by path, title, or alias; browse by folder/type/tag |
create_note / append_note / replace_note_body |
Write notes (append is the safe default) |
update_frontmatter / archive_note |
Metadata changes; non-destructive delete |
capture |
Quick capture to inbox |
daily_note / daily_log |
Daily notes and timestamped work journal |
list_projects / create_project / set_project_status |
Project lifecycle |
list_tasks / add_task / complete_task |
Checkbox tasks across the vault |
note_links |
Outgoing links + backlinks for a note |
list_tags / vault_health |
Tag census; broken links, stale projects, overdue tasks |
Plus three MCP prompts: orient, weekly-review, process-inbox.
CLI
big-brain init [dir] scaffold a vault big-brain tasks [--project X]
big-brain status overview big-brain task add|done ...
big-brain search <query> full-text search big-brain projects [--status active]
big-brain show <note> print a note big-brain project new|status ...
big-brain new <title> create a note big-brain links <note>
big-brain capture <text> quick capture big-brain tags
big-brain daily [--log "..."] daily note / journal big-brain doctor
big-brain install-skills add Claude Code skills big-brain mcp run the MCP server
Every list command takes --json for scripting.
Design principles
- Files over databases. Markdown you can read in 30 years beats any app.
- The human owns the vault; agents are guests. Agents append and capture freely, but rewriting and archiving are deliberate acts.
- Deterministic beats clever. Search + links + tags retrieves reliably and works offline; you can add embeddings on top, but you shouldn't need them to find your own notes.
- Model-agnostic by construction. Everything goes through MCP or the filesystem — nothing assumes a particular AI vendor.
Development
npm install
npm run typecheck && npm run lint && npm test
npm run build
MIT © Junhao Zhao
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