unibaseio/membase-mcp

Overview

A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, multi-session memory. It enables agents to store and retrieve memories across sessions with verifiable consistency. The tool is implemented in Python and serves as a bridge between AI agents and the Membase decentralized memory system.

Best for

Best for
Developers building AI agents that need decentralized, persistent, and verifiable multi-session memory

Use cases

• Maintaining long-term context across AI agent sessions
• Storing and retrieving agent memories with verification
• Building multi-session applications with decentralized memory

Notes

A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, multi-session memory. It enables agents to store and retrieve memories across sessions with verifiable consistency. The tool is implemented in Python and serves as a bridge between AI agents and the Membase decentralized memory system.

18 stars on GitHub. Last updated 2025-05-14.

Use cases

• Maintaining long-term context across AI agent sessions
• Storing and retrieving agent memories with verification
• Building multi-session applications with decentralized memory

Pros

• Lightweight design with minimal overhead
• Decentralized architecture for resilience and data ownership
• Focuses on verifiable memory consistency across sessions

Cons

• Small community and limited ecosystem due to low adoption (18 stars)
• Requires a Membase infrastructure setup
• Early stage project with potentially limited documentation and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.