Provides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.
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Provides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.
Yes, Fieldnote MCP is completely free to use with no usage limits on the free tier.
Fieldnote MCP is listed under the search category in the AgentForge MCP registry.
Fieldnote MCP has a current uptime of 99.9% with an average response time of 0ms.
To connect Fieldnote MCP, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of Fieldnote MCP's tools via the Model Context Protocol.