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unibaseio/membase-mcp

by Various

A lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.

U

MCP

unibaseio/membase-mcp

Added 1 June 2026

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

How to use

Install

uv run src/membase_mcp/server.py

Tools exposed

  • uv

Tested with

Cursor, Windsurf, Cline

Example client config

{\n  "mcpServers": {\n    "membase": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "path/to/membase-mcp",\n        "run", \n        "src/membase_mcp/server.py"\n      ],\n      "env": {\n        "MEMBASE_ACCOUNT": "your account, 0x...",\n        "MEMBASE_CONVERSATION_ID": "your conversation id, should be unique",\n        "MEMBASE_ID": "your sub account, any string"\n      }\n    }\n  }\n}

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.

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
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