OpenChronicle
Local-first, open memory for tool-using AI agents
Open-source, local-first memory for any tool-capable LLM agent. Think OpenAI's Chronicle — but open, model-agnostic, inspectable, and hackable.
Navers lab · Einsia.AI · 2026
What it is
OpenChronicle runs on your machine, captures structured context from your real screen and app activity, and turns it into persistent, human-readable Markdown memory — files for projects, tools, topics, people, organizations, and daily events.
It is designed as a general memory layer rather than something tied to one model provider or app: run it fully locally, connect it to any model, and let any tool-calling agent read and build on it.
Highlights
Local-first
All memory stays on your machine — private by default.
Model-agnostic
Works with Ollama, OpenAI, Anthropic, or any LiteLLM provider.
AX Tree context
Uses the accessibility tree for efficient, low-cost context capture.
Inspectable
Human-readable Markdown memory, indexed with SQLite.
Tool-ready
Built for MCP clients and any tool-calling agent.
MIT licensed
Open-source and hackable, end to end.