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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
Please explicitly write the confirmed project constraints from this discussion into Nuzo Memory for future sessions.
The AI agent writes key information into local memory for later reuse.
Write today’s technology decisions and reasons into Nuzo Memory as an auditable record.
A local memory entry is created through an explicit write, making the decision traceable.
Write the user preferences the agent should remember into Nuzo Memory and store them locally in SQLite.
User preferences are written into a local SQLite-backed memory layer for later sessions.
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 self-hosted, encrypted, durable memory management for AI agents.
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.
Provide persistent local semantic memory for MCP tools to store and search notes.