LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).
Partial audit · 3/5 dimensions · Audit v1.1-github-security · today · imported from awesome mcp
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LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).
Yes, context-keeper is completely free to use with no usage limits on the free tier.
context-keeper is listed under the AI & Machine Learning category in the AgentForge MCP registry.
context-keeper has a current uptime of 99.9% with an average response time of 0ms.
To connect context-keeper, 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 context-keeper's tools via the Model Context Protocol.