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View guide →Nocturne_memory, in Python — built for a lightweight, rollbackable, and visual long-ter...
nocturne_memory is an open-source ai agents project by Dataojitori (Dataojitori/nocturne_memory on GitHub). It has 1,374 GitHub stars and 171 forks, is released under the MIT license, and was last updated on GitHub on 22 September 2026.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around agentic ai for a focused workflow.
Built around ai identity for a focused workflow.
Built around ai memory for a focused workflow.
Built around artificial intelligence for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/Dataojitori/nocturne_memory.gitSet up Python dependencies.
cd nocturne_memory && pip install -r requirements.txtLaunch the application.
cd nocturne_memory && python main.pyIt a lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
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