Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
Interact with AI agents that can execute code and adapt their actions based on previous results.
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Free · no card · unsubscribe anytimeOfficial Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
code-act has 1.7k stars on GitHub. It has been forked 146 times. code-act is written mainly in Python. It has been in active development since 2024. code-act is available under the MIT license. Its main topics are llm, llm-agent, llm-finetuning, llm-framework.
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
code-act is an open-source project. It is released under the MIT license.
Yes. code-act is free and open source — you can use, modify and self-host it.
code-act is available under the MIT license.
code-act is written mainly in Python.
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