A self-organizing, persistent semantic memory layer that enables AI agents to store, categorize, and retrieve information using hybrid vector and keyword search. It features autonomous chunking, deduplication, and hierarchical taxonomy management through a PostgreSQL-backed MCP server.
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A self-organizing, persistent semantic memory layer that enables AI agents to store, categorize, and retrieve information using hybrid vector and keyword search. It features autonomous chunking, deduplication, and hierarchical taxonomy management through a PostgreSQL-backed MCP server.
Yes, memory-mcp is completely free to use with no usage limits on the free tier.
memory-mcp is listed under the search category in the AgentForge MCP registry.
memory-mcp has a current uptime of 99.9% with an average response time of 0ms.
To connect memory-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 memory-mcp's tools via the Model Context Protocol.