shawnpetros

Open Brain — Data skill for Claude Code

Data community

Semantic memory for AI agents.

How to install Open Brain

This entry records only its repository, not the path inside it, so there is no exact command to give. Open shawnpetros/open-brain and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Open Brain does

Semantic memory for AI agents. Postgres + pgvector + MCP. Capture, classify, retrieve.

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README

Open Brain

**Because one brain is not enough in the age of the centaur.**

Your second brain, but make it semantic. A personal knowledge base that understands *meaning*, not just keywords — accessible from Claude, ChatGPT, Cursor, your phone, your terminal, or anywhere that speaks MCP.

You think a thought. Your brain captures it, figures out what kind of thought it is, who you mentioned, what topics it touches, and files it away with a vector embedding. Later, you ask a question in natural language, and your brain actually *understands* what you meant.

No folders. No tags. No "wait, where did I put that?" Just vibes. Semantic vibes.

What's Inside

you → "remind me about that conversation with Alex about the API redesign"
                              ↓
                    [semantic search] ← pgvector cosine similarity
                              ↓
brain → "Found 3 thoughts: Meeting with Alex on Feb 12..."

**7 tools, one brain:**

Tool	What It Does
`capture`	Save a thought — auto-generates embedding + extracts metadata
`semantic_search`	Find thoughts by meaning, not keywords
`search_by_person`	"What do I know about Sarah?"
`search_by_topic`	"What have I been thinking about system design?"
`list_recent`	"What's been on my mind this week?"
`stats`	"How active has my brain been?"
`delete_thought`	"Forget I said that."

Every thought gets automatically classified (decision, insight, idea, reflection...), people are extracted, topics are tagged, and action items are surfaced. All of this happens invisibly — you just think, it just files.

The Stack

No exotic dependencies. No "run these 47 Docker containers" energy. Just:

Neon Postgres + pgvector — your thoughts, vectorized and indexed (HNSW, cosine similarity, 1536 dimensions)
OpenAI — text-embedding-3-small for embeddings, gpt-4o-mini for metadata extraction
Next.js on Vercel — MCP ser