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Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
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View guide →Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
CoreCoder is an open-source ai agents project by he-yufeng (he-yufeng/CoreCoder on GitHub). It has 1,794 GitHub stars and 440 forks, is released under the MIT license, and was last updated on GitHub on 2 October 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 ai agent for a focused workflow.
Built around claude code for a focused workflow.
Built around cli for a focused workflow.
Built around coding agent 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/he-yufeng/CoreCoder.gitSet up Python dependencies.
cd CoreCoder && pip install -r requirements.txtLaunch the application.
cd CoreCoder && python main.pyIt minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder, 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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Free and open — grab the source, star the repo, and start creating.