brain-mcp 0.1.3

Turn your AI conversations into a searchable second brain with cognitive prosthetic tools

🧠 brain-mcp

You've had thousands of AI conversations. You can't search any of them.

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📚 Documentation · 🚀 Quickstart · ❓ FAQ · 🔧 All 25 Tools

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Install

pipx install brain-mcp        # recommended (isolated env, on your PATH)
brain-mcp init --full          # discover conversations, import, embed
brain-mcp setup claude         # auto-configure Claude Desktop + Code

Restart Claude. Done. 25 tools available.

Alternative: pip install

pip install brain-mcp
brain-mcp init --full
brain-mcp setup claude

Note: If you install in a virtualenv, make sure brain-mcp is on your PATH — Claude Desktop/Code needs to find the binary. pipx handles this automatically.

Setup for specific clients

brain-mcp setup claude           # auto-detect: configures both Desktop + Code
brain-mcp setup claude-desktop   # Claude Desktop only
brain-mcp setup claude-code      # Claude Code only
brain-mcp setup cursor           # Cursor
brain-mcp setup windsurf         # Windsurf

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What You Can Do

Ask your AI	What happens
"What did I figure out about sleep last month?"	Finds your insights across 12 conversations you forgot you had
"Search everything I've discussed about marketing"	23 conversations across 8 months, with quotes — in 12ms
"Where did I leave off with the business plan?"	Reconstructs your context — open questions, decisions, next steps
"How has my thinking about career changes evolved?"	Tracks your opinion trajectory from doubt → clarity
"What would it cost to switch focus right now?"	Quantifies what you'd abandon — open threads, unfinished thinking
"What do I actually think about AI?"	Synthesizes YOUR views from 31 past conversations into one answer

Works for researchers, writers, students, founders, developers — anyone who thinks with AI.

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The Problem Nobody Talks About

You had a breakthrough at 2am last Tuesday. You laid out a whole framework in a conversation with Claude. It was brilliant.

You can't find it. You can't even remember which conversation it was in.

Every week, millions of people pour their best thinking into AI conversations — and lose all of it. ChatGPT's "memory" stores a few fun facts. Claude's import tool gives you a markdown summary of a summary. None of them let you search your own thinking.

brain-mcp doesn't store facts. It reconstructs cognitive state — where you were in a problem, what you'd decided, what questions were still open, and what it would cost to switch away.

Built with ADHD in mind. If your brain drops context constantly, this is your external hard drive.

Without vs. With

Without brain-mcp:

"I had this great idea about the business plan last month... let me search my chat history... which conversation was it... was it ChatGPT or Claude..."

30 minutes later: Maybe 60% recovered. If you're lucky.

With brain-mcp:

> "Where did I leave off with the business strategy?"

🧠 business-strategy — exploring stage
Open questions: 12 | Decisions made: 8

❓ Top open:
  - Should I focus on B2B or B2C first?
  - What pricing model fits the early stage?

✅ Recent decisions:
  - Target solo developers initially
  - Open-source core, paid hosting layer

💬 Found across: 15 ChatGPT + 8 Claude + 3 Claude Code conversations

⏱️ 12ms

12 milliseconds to reconstruct the mental state that took weeks to build. Across every AI tool you've used. That's real data, not a mockup.

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How It Works

graph TD
    subgraph SOURCES["📥 Your Conversations (already on your machine)"]
        CC["Claude Code sessions"]
        CG["ChatGPT exports"]
        CB["Clawdbot sessions"]
        GJ["Generic JSONL"]
    end

    INIT["brain-mcp init --full"]

    subgraph DB["💾 Local Storage"]
        DDB["DuckDB (SQL)<br/>Full-text search"]
        LDB["LanceDB (768d vectors)<br/>Semantic search"]
        SUM["Structured summaries"]
    end

    TOOLS["🧠 25 MCP Tools"]

    subgraph CLIENTS["💬 Your AI Assistant"]
        CLA["Claude"]
        CUR["Cursor"]
        WS["Windsurf"]
    end

    SOURCES --> INIT --> DB --> TOOLS --> CLIENTS

    style SOURCES fill:#f8f9fa,stroke:#d0d7de,color:#1a1a1a
    style DB fill:#fff8e1,stroke:#d29922,color:#1a1a1a
    style CLIENTS fill:#f0fff4,stroke:#3fb950,color:#1a1a1a

All data stays on your machine. Embedding model runs locally (nomic-v1.5 on Apple Silicon). No cloud. No API costs for core operations.

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25 Tools

🧠 Cognitive Prosthetic (8)

The tools that make this different from every other memory system.

Tool	What it does	Speed
tunnel_state	"Load your save game" — reconstructs where you were in any domain	12ms
context_recovery	Full re-entry brief with summaries, open questions, decisions	12ms
switching_cost	Quantified cost of switching between domains	9ms
open_threads	Everything unfinished, everywhere	2.7s
dormant_contexts	Abandoned domains with open questions you forgot about	2.7s
cognitive_patterns	When and how you think best, with data	10ms
tunnel_history	Engagement timeline for a domain	5ms
trust_dashboard	System-wide proof the safety net works	59ms

🔍 Search (6)

Tool	What it does
semantic_search	Vector search via LanceDB (768d nomic embeddings)
search_conversations	Keyword search across all conversations
unified_search	Search conversations + GitHub + markdown at once
search_summaries	Structured summaries (extract: decisions/questions/quotes)
search_docs	Markdown corpus search
unfinished_threads	Threads with open questions by domain

🔬 Synthesis (4)

Tool	What it does
what_do_i_think	Synthesized view of your position on any topic
alignment_check	Check decisions against your own stated principles
thinking_trajectory	How an idea evolved over time
what_was_i_thinking	Month-level snapshot of your focus

💬 Conversation + Stats (5)

get_conversation · conversations_by_date · brain_stats · query_analytics · github_search

⚙️ Meta (2)

list_principles · get_principle

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Progressive Tiers

Every tool works at every tier — just with increasing depth:

What you have	What works
Just conversations	Keyword search, date browsing, stats
+ Embeddings	Semantic search, synthesis, trajectory
+ Summaries	Full prosthetic tools with structured domain analysis

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Comparison

	brain-mcp	Mem0	Khoj	Letta (MemGPT)
Memory model	Conversation archaeology — reconstructs cognitive state	Key-value fact store	Hybrid search over docs	Tiered agent memory
State recovery	8 prosthetic tools (tunnel state, switching cost, dormancy)	❌	❌	❌
Data source	Your existing AI conversations (auto-discovered)	Runtime extractions	Personal documents	Agent conversation history
Runs where	100% local (Apple Silicon optimized)	Cloud API or self-hosted	Self-hosted or cloud	Self-hosted or cloud
Domain tracking	25 cognitive domains with stages, open questions, decisions	❌	❌	❌
Cost	~$0.05/day	Free tier / paid	Free / self-hosted	Free / self-hosted
Protocol	MCP (Claude, Cursor, any client)	REST API	REST API + web UI	REST API

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🔒 Privacy & Security

• 100% local — all data stays on your machine
• No telemetry — zero tracking, zero phone-home
• No cloud dependency — works offline after initial setup
• No accounts — no sign-up, no API keys for core features
• You own everything — MIT licensed, your data is yours
• Open source — audit every line of code

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CLI

brain-mcp init              # Discover conversation sources
brain-mcp init --full       # Discover + import + embed (one command)
brain-mcp setup claude      # Configure Claude Desktop / Claude Code
brain-mcp setup cursor      # Configure Cursor
brain-mcp doctor            # Health check
brain-mcp sync              # Incremental update
brain-mcp status            # One-line status

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Supported Sources

Source	Auto-detected	Status
Claude Code	✅	Supported
Claude Desktop	✅	Supported
ChatGPT	✅	Supported
Clawdbot	✅	Supported
Cursor	—	Coming soon
Windsurf	—	Coming soon
Generic JSONL	Manual	Supported

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Requirements

• Python 3.11+
• ~500MB disk, ~2GB RAM for embedding
• macOS (Apple Silicon recommended), Linux, or WSL

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Part of the Ecosystem

Repo	What
brain-mcp	Memory — 25 MCP tools, cognitive prosthetic
QinBot	AI on a $50 dumb phone — no browser, no apps
local-voice-ai	Voice — Kokoro TTS + Parakeet STT, zero cloud
agent-memory-loop	Cron + memory cascade for AI agents
brain-canvas	Visual display for any LLM
x-search	Search X/Twitter from terminal via Grok
mordenews	Automated daily AI podcast
live-translate	Real-time Hebrew→English translation

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Contributing

See CONTRIBUTING.md for development setup, testing, and PR guidelines. All contributions welcome.

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License

MIT — see LICENSE. See CHANGELOG.md for version history.

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Built because losing your train of thought shouldn't mean starting over.

brainmcp.dev · Full Docs · PyPI