code-act
CodeAct is a system that enhances LLM agents with executable code.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.7k
- Source
- GitHub
- Added
- 2026-06-12
- Last verified
- 2026-06-12
Overview
CodeAct is a system that enhances large language model (LLM) agents by enabling executable code. It integrates a Python interpreter to perform code execution and supports multi-turn interactions for dynamically correcting previous actions or issuing new actions based on new observations. CodeAct aims to improve the success rate of LLM agents when handling complex tasks. Users can deploy and use the CodeActAgent in multiple ways, including Docker and Kubernetes. The system is suitable for developers and researchers who need efficient and flexible code execution capabilities.
Key features
- ▪Integrated Python interpreter for code execution
- ▪Supports multi-turn interactions for dynamic action correction
- ▪Offers two pre-trained model options
- ▪Supports Docker and Kubernetes deployment
Use cases
Pros
- +Improves task success rate of LLM agents
- +Supports multiple deployment methods
- +Open-source and easy to extend
Limitations / notes
- -Requires some technical background
- -Needs internet connectivity to run
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, CodeAct is an open-source project and is free to use.
Does it support Chinese?
Main documentation and interface are in English, but multilingual input is supported.
Can it be used commercially?
Yes, but must comply with the relevant open-source license agreements.
Do I need scientific internet access?
No, it can be used with local deployment only.
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