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Monkeyrun Open Brain

by · github.com/MonkeyRun-com/monkeyrun-open-brain

Open Brain — personal knowledge/memory MCP server for AI agents

Unclaimed last commit 7 months ago devtools
InstallView source
34Low

Scored 7 months ago · breakdown

About Monkeyrun Open Brain

Monkeyrun Open Brain is an MCP server published by MonkeyRun-com in the Developer Tools category: open Brain — personal knowledge/memory MCP server for AI agents.

The repository has 10 stars and 1 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/MonkeyRun-com/monkeyrun-open-brain

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

capture_thoughtSave a thought with auto-embedding + LLM-extracted metadata

Parameters not published.

list_thoughtsBrowse recent thoughts with filters (type, topic, person, days)

Parameters not published.

search_thoughtsSemantic search — returns source URL and optional full original text

Parameters not published.

thought_statsTotals, type distribution, top topics, top people

Parameters not published.

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  • ✓README presentThe repository ships documentation.

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README

Open Brain 🧠

Built on Nate B. Jones's Open Brain architecture. This is MonkeyRun's implementation and extension of his open-source personal memory system — we've added Gmail capture, RAG chunking for long-form content, and documented the journey of building it with AI.

MonkeyRun is a software studio that builds and ships products using AI as the primary development partner — using tools like Cursor, Claude, and OpenClaw to manage real projects end-to-end. This repo is one of those experiments: building a persistent AI memory layer and learning in public.

Open Brain is an MCP server that lets AI agents save, search, and retrieve "thoughts" using semantic vector search. You capture ideas, decisions, emails, and notes — and any AI client you use (Claude, ChatGPT, OpenClaw) can search them by meaning, not just keyword.

Data Sources

Source How Status
Discord #capture channel Push — type into channel ✅ Built-in
Gmail (sent + starred) Pull — run scripts/pull-gmail.ts ✅ Available
ChatGPT export Bulk import — run scripts/import-chatgpt.py ✅ Available
Manual (any AI client) capture_thought MCP tool ✅ Built-in

ChatGPT Export Importer

Turn your ChatGPT data export into searchable memories. Processes your entire conversation history, filters out low-signal content (quick lookups, one-off creative tasks), and distills lasting knowledge into Open Brain.

# Export your data: chatgpt.com → Settings → Data Controls → Export Data
# Then run:
pip install requests
python scripts/import-chatgpt.py ~/Downloads/chatgpt-export.zip --dry-run --limit 10
python scripts/import-chatgpt.py ~/Downloads/chatgpt-export.zip

What it captures: decisions and reasoning, people with context, project plans, lessons learned, business context, personal values
What it skips: poems, jokes, one-off writing tasks, generic Q&A, coding help with no lasting context

Each ingested thought stores:

  • A distilled summary (used for semantic search)
  • The original conversation text (retrievable on demand)
  • A direct link back to the source (https://chatgpt.com/c/<id>)

Supports OpenRouter (default, ~$0.15/100 conversations) or local Ollama for zero-cost inference. See scripts/import-chatgpt.py --help for all options.

Guides & Extensions

Guide Description
Email Capture — Visual Overview Add Gmail to your persistent memory — pull-based ingestion, RAG chunking, the five things that broke
Email Capture — Full Guide Step-by-step setup, troubleshooting, automation, and security notes
Substack Post Draft Community contribution post for Nate B. Jones's Open Brain series

Architecture

  • Database: Supabase PostgreSQL + pgvector (1536-dimension embeddings, full_text column for source storage)
  • Embeddings: OpenRouter → openai/text-embedding-3-small
  • Metadata extraction: OpenRouter → openai/gpt-4o-mini
  • MCP Server: Deno Edge Function (Supabase) using @modelcontextprotocol/sdk
  • Capture: Discord #capture channel → ingest-thought Edge Function

MCP Tools

Tool Description
capture_thought Save a thought with auto-embedding + LLM-extracted metadata
search_thoughts Semantic search — returns source URL and optional full original text
list_thoughts Browse recent thoughts with filters (type, topic, person, days)
thought_stats Totals, type distribution, top topics, top people

Deployment

supabase functions deploy open-brain-mcp --no-verify-jwt
supabase functions deploy ingest-thought --no-verify-jwt

Infrastructure

  • Supabase Project: Your own Supabase project (see supabase/config.toml after supabase link)
  • Auth: Custom key-based (x-brain-key header or ?key= query param)
  • JWT: Disabled at function level (self-managed auth)

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Monkeyrun Open Brain

How do I install Monkeyrun Open Brain?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Monkeyrun Open Brain safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Monkeyrun Open Brain still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.