NateBJones-Projects/OB1

Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.

What it solves

Open Brain provides a unified, persistent memory layer for all the AI tools you use. Instead of each AI (like Claude, ChatGPT, or Cursor) having its own isolated memory, Open Brain creates a single database with vector search that acts as a shared "brain" across different AI clients, eliminating the need for fragmented data across multiple SaaS chains or middleware.

How it works

It functions as an infrastructure layer consisting of a database (typically Supabase/PostgreSQL with pgvector), an AI gateway, and capture channels (like Slack or Discord). It uses the Model Context Protocol (MCP) to allow various AI clients to plug into this shared memory. Users can extend the system with "recipes" for importing data from sources like Obsidian, Gmail, or X/Twitter, and "skills" (prompt packs) to teach AI agents how to interact with the system.

Who it’s for

Individuals and power users who use multiple AI tools and want a single, governed source of truth for their personal and professional knowledge, memories, and workflows.

Highlights

  • Unified Memory: A single database that serves as persistent memory for any AI tool that supports the protocol.
  • Extensible Architecture: A wide array of community-contributed recipes for data import (e.g., ChatGPT, Perplexity, Obsidian) and specialized agent skills.
  • MCP Integration: Uses the Model Context Protocol to connect seamlessly with clients like Claude Desktop, Cursor, and ChatGPT.
  • Modular Extensions: Pre-built paths to create specialized knowledge bases for household management, professional CRMs, and job hunt pipelines.
  • Multi-channel Capture: Ability to capture thoughts and data via Slack, Discord, or custom edge functions.

Related

  • Project
    TencentCloud/TencentDB-Agent-Memory

    A centralized memory server and management hub that allows AI agents to share and reuse distilled experience, skills, and project knowledge across sessions and frameworks.

  • Project
    mem9-ai/mem9

    A persistent memory layer for AI agents that enables shared context and recall across sessions, machines, and different agent runtimes.

  • Project
    rahilp/second-brain-cloudflare

    Second Brain is a Cloudflare‑Workers‑based personal and team memory service that stores notes, decisions, and other context for AI assistants. It provides semantic recall via vector search, personal + shared layers, prompt‑capsule support, and integrates with many tools (Claude, ChatGPT, CLI, browser extension, Obsidian, Notion, iOS shortcuts). Deployable via a one‑click Cloudflare button, a desktop app, or manual CLI, it runs in the user’s own Cloudflare account, keeping data private. Licensed MIT.

  • Project
    open-metadata/OpenMetadata

    An open-source context layer and metadata management platform that provides AI agents and users with the governed business semantics, lineage, and organizational memory needed to trust and use enterprise data.

  • Project
    doobidoo/mcp-memory-service

    A persistent, shared memory backend for AI agents that provides a knowledge graph and semantic search across sessions and tools via REST API and MCP.