openchronicle-mcp
Active·★ 16·AGPL-3.0·Updated 2026-10-19
OpenChronicle is a memory database designed for LLM agents, offering persistent semantic and keyword memory, project namespacing, and Git integration. It provides hybrid search capabilities and is served over HTTP REST and MCP from a single ASGI process, deployable on your hardware.
#LLM Memory#Vector Database#Knowledge Base#RAG#Semantic Search#Persistent Storage#Git Integration#FastAPI
01
Features
01Persistent memory across sessions with hybrid full-text and semantic search (RRF).
02Project namespacing to scope memory contexts and prevent leakage between workstreams.
03Git integration for onboarding existing codebases by clustering and summarizing commits.
04Single ASGI process serving both HTTP REST API and MCP streamable-HTTP transport.
05Robust data management with atomic online backups and a schema migration framework.
02
Compatibility
Python
Runtime
Verified via docs
Docker
Deployment
Verified via docs
SQLite
Database
Verified via docs
MCP
Protocol
Verified via docs
03
Quick start
1
$ pip install -e ".[mcp,openai]"
2
$ oc init
3
$ oc serve
04
Use cases
↳Providing long-term, persistent memory for LLM agents to retain decisions and rejected approaches.
↳Managing distinct memory contexts for multiple AI agent projects within a single deployment.
↳Automatically ingesting and summarizing Git repository history to seed agent knowledge bases.
↳Enabling enhanced AI agent capabilities through integration via MCP (e.g., with Claude Code).
↳Self-hosting a private, robust memory store for sensitive or proprietary AI applications.
05
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