#2424th of 27 in Memory

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Shared Postgres vector memory exposed to any AI client over MCP

Stars
4.8k
License
custom license
Last commit
Sep 2026
Language
TypeScript
Stars, last 29 weeks+3,003
22 Apr 2026: 1,768 stars29 Apr 2026: 2,347 stars6 May 2026: 2,744 stars13 May 2026: 3,039 stars20 May 2026: 3,228 stars27 May 2026: 3,391 stars3 Jun 2026: 3,525 stars10 Jun 2026: 3,604 stars17 Jun 2026: 3,716 stars24 Jun 2026: 3,874 stars1 Jul 2026: 3,992 stars8 Jul 2026: 4,088 stars15 Jul 2026: 4,156 stars22 Jul 2026: 4,206 stars29 Jul 2026: 4,273 stars5 Aug 2026: 4,368 stars12 Aug 2026: 4,410 stars19 Aug 2026: 4,443 stars26 Aug 2026: 4,484 stars2 Sept 2026: 4,517 stars9 Sept 2026: 4,580 stars16 Sept 2026: 4,604 stars23 Sept 2026: 4,622 stars30 Sept 2026: 4,648 stars7 Oct 2026: 4,671 stars14 Oct 2026: 4,696 stars21 Oct 2026: 4,718 stars28 Oct 2026: 4,737 stars4 Nov 2026: 4,750 stars11 Nov 2026: 4,771 stars

1,768 on 22 Apr 20264,771 on 11 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Open Brain is a guide and contribution repo for building a personal memory store: a Supabase Postgres database with vector search, an MCP server deployed as an edge function, and Slack or Discord capture. Claude, ChatGPT, Cursor and Claude Code connect to the same database. The repo adds extensions, import recipes (ChatGPT, Obsidian, Gmail, X), agent skills, schemas, dashboards and a Kubernetes option.

Who it is for: Self-hosters wanting one persistent memory shared by their AI tools

Strengths

  • One MCP-exposed database shared across Claude, ChatGPT, Cursor and Claude Code
  • Many import recipes: ChatGPT, Perplexity, Obsidian, Gmail, X, Instagram, Google Takeout
  • Kubernetes option runs on plain PostgreSQL with pgvector, no Supabase required
  • Community contributions go through automated PR review, each with its own README

Weaknesses

  • Default setup depends on Supabase, Slack and an AI gateway, not one self-contained binary
  • Repo of guides, SQL and edge functions, not an installable package
  • License is detected as NOASSERTION, so reuse terms need checking
  • Setup takes about 45 minutes and several hosted accounts

What it needs

  • no GPU
  • Needs Supabase, PostgreSQL with pgvector, Slack or Discord, AI gateway
  • Models: MCP clients: Claude, ChatGPT, Cursor, Claude Code

Also in Memory

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3MemPalaceLocal verbatim memory store for AI agents with semantic search and MCP60.5k starsMIT90 out of 100
#4SupermemoryMemory and context engine for AI agents, with user profiles and hybrid search31.6k starsMIT89 out of 100
#5Mem0Long-term memory layer that stores and retrieves user facts for LLM agents Live demo ↗ (opens in a new tab)68.9k starsApache-2.088 out of 100