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Dense Knowledge

Official

by Lucky44k · Python

Local, append-only knowledge storage with selective retrieval for language models.

io.github.Lucky44k/dense-knowledge-mcp — Model Context Protocol (MCP) Server

This MCP server provides local, append-only knowledge storage with selective retrieval intended for language models. Its purpose is to store knowledge locally and return only relevant subsets when queried, supporting model context needs without modifying the underlying stored data.

🛠️ Key Features

  • Local knowledge storage
  • Append-only write behavior
  • Selective retrieval for language models

🚀 Use Cases

  • Building language-model workflows that require context from locally stored knowledge
  • Retrieving relevant knowledge fragments rather than the entire dataset

⚡ Developer Benefits

  • Predictable storage updates via append-only semantics
  • Context retrieval scoped to relevance for language models

⚠️ Limitations

  • Relies on local storage model; no behavior beyond “local” is specified
  • No details provided on retrieval method, performance, configuration, or supported tooling count

Topics

knowledge-managementbm25llm-memorylocal-firstmcp-servermodel-context-protocolpython
Dense Knowledge - agentage MCP Catalog