KI-Agenten
OpenScience
OpenScience — the open-source AI workbench for scientific research: give it a goal, it reads the literature, runs the experiments and writes up the findings
★ 4,0 Tsd. SterneApache-2.0
Anleitung ansehen →Agon ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von AutoResearch-Factory (AutoResearch-Factory/Agon auf GitHub). Es hat 54 Sterne auf GitHub und 5 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 6. Oktober 2026 auf GitHub aktualisiert.
Autonomous research loops, from topic to experiments.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Topic-to-experiment agent loops.
Agents collaborate on research.
Runs inside Claude Code.
Agents write the experimental code.
Pushes toward automated science.
Permissive licensing.
Download the source and move into the project folder.
git clone https://github.com/AutoResearch-Factory/Agon.git
cd AgonSet up a virtual environment and install dependencies.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtRegister it with Claude Code per the README and try a small topic.
# brand-new — expect rough edges, see READMEIt is maintained by AutoResearch-Factory at AutoResearch-Factory/Agon, with 5 forks. Brand new — expect rough edges.
Yes. It is released under the MIT license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
You need Claude / Claude Code access; the plugin itself is free.
Compare on autonomy and experimental rigor — this space is moving fast.
Install the plugin per the README and try it on a small, well-scoped topic.
OpenScience — the open-source AI workbench for scientific research: give it a goal, it reads the literature, runs the experiments and writes up the findings
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