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Provide local-first, auditable memory for MCP-compatible AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Nuzo Memory" MCP server from askskill: Run: claude mcp add 'io-github-fabionfsc-nuzo-memory' -- npx -y @nuzo/memory-mcp
Developers building MCP-compatible AI agents can use it to retain information the agent should remember over time. Its local-first design suits setups that want fewer external dependencies.
When teams want clear visibility into what gets written into agent memory, this tool provides an auditable approach. It fits workflows that need traceability for memory writes.
Users who want agent memory stored in a local database can use its SQLite-based storage. This makes memory data easier to manage and inspect on the local machine.
It is a memory tool for MCP-compatible AI agents, emphasizing local-first operation, auditability, and explicit writes. Its storage is based on SQLite.
The provided description says it stores memory data in SQLite. For the exact file location or schema, see the source repository.
It emphasizes explicit writes rather than implicitly recording everything automatically. This makes memory writes easier to audit and control.
Provide local-first memory and retrieval for coding agents using SQLite embeddings.
Give MCP agents local-first long-term memory without databases or API keys.
Give AI agents local-first memory to learn, consult, and retrieve related context.
Connect local memory vaults to MCP for persistent AI context read and write.
Give AI coding agents persistent local shared memory across agents.
Give AI agents local memory with search, graph retrieval, and history replay.