Agent♥︎Age
Catalog

openchronicle-mcp

Official

by CarlDog · Python

Memory database for LLM agents — persistent semantic + keyword memory, project namespacing, served o

io.github.CSOAI-ORG/openchronicle-mcp: Model Context Protocol (MCP) server

This MCP server provides a memory database for LLM agents, combining persistent semantic and keyword memory. It supports project namespacing and is served (as indicated by “served o” in the source). The repository is packaged for deployment via Docker and implemented in Python (noted as Python 3.14+).

🛠️ Key Features

  • Persistent semantic + keyword memory
  • Project namespacing
  • Hybrid search (semantic + full-text/keyword)
  • Embeddings and full-text search support
  • Built for self-hosted use

🚀 Use Cases

  • Storing and retrieving agent memory across sessions
  • Searching within agent data using semantic and keyword approaches
  • Running an MCP-based memory service as a containerized deployment

⚡ Developer Benefits

  • MCP server integration for LLM agent tooling
  • SQLite mentioned among topics (database reference)
  • Docker availability (ghcr.io/carldog/openchronicle-mcp)
  • Python-based implementation

⚠️ Limitations

  • Source excerpt is truncated; specific served endpoints/tools are not fully described in the provided data.

Topics

aihexagonal-architecturellmmcpmemorypythonself-hostedai-agentsdockerembeddingsfull-text-searchhybrid-searchmcp-serversemantic-searchsqlite