Membase: External Memory Layer for AI Assistants Across Tools
Membase is an external memory system designed to solve the persistent context loss problem in AI assistants. It captures and retains conversation context across sessions and different AI tools, eliminating the need to re-explain or copy-paste information when switching between platforms.
How Membase Works
The system operates through three core functions:
- Automatically extracts important context from your conversations
- Stores extracted information in a knowledge graph (not just a text file)
- Injects relevant memories when you start new chats
Key Features
- Cross-tool compatibility: Works with Claude Code, ChatGPT, Cursor, Gemini, and other AI tools
- Context preservation: Maintains conversation context when switching between different AI assistants
- History import: Can import existing chat history from Claude, ChatGPT, and Gemini to bootstrap the memory system
- Free access: All features are currently free with no credit card required
- Private beta: The tool is currently in private beta testing phase
Development Process
The creators used Claude Code extensively during development for:
- Designing and iterating on the memory schema
- Refining the MCP (Model Context Protocol) specification and tools
- Generating and tweaking extraction prompts that determine what gets stored as long-term memory
The cross-tool functionality addresses a common workflow issue: starting work in one AI assistant (like Claude) and continuing in another (like Gemini) without losing context. This eliminates manual transfer of information between sessions.
📖 Read the full source: r/ClaudeAI
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