
Membase
STDIODecentralized memory layer for AI agents, enabling persistent storage of conversation history.
Decentralized memory layer for AI agents, enabling persistent storage of conversation history.
Membase is the first decentralized memory layer for AI agents, powered by Unibase. It provides secure, persistent storage for conversation history, interaction records, and knowledge — ensuring agent continuity, personalization, and traceability.
The Membase-MCP Server enables seamless integration with the Membase protocol, allowing agents to upload and retrieve memory from the Unibase DA network for decentralized, verifiable storage.
Messages or memoiries can be visit at: https://testnet.hub.membase.io/
git clone https://github.com/unibaseio/membase-mcp.git cd membase-mcp uv run src/membase_mcp/server.py
{ "mcpServers": { "membase": { "command": "uv", "args": [ "--directory", "path/to/membase-mcp", "run", "src/membase_mcp/server.py" ], "env": { "MEMBASE_ACCOUNT": "your account, 0x...", "MEMBASE_CONVERSATION_ID": "your conversation id, should be unique", "MEMBASE_ID": "your sub account, any string" } } } }
call functions in llm chat