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code-act

CodeAct is a system that enhances LLM agents with executable code.

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Platforms: WebAPI
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.7k
Source
GitHub
Added
2026-06-12
Last verified
2026-06-12
code-act

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

Automated code generation and debuggingCode execution in multi-turn conversationsMulti-step processing of complex tasksLLM agent testing in research and development

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

DevelopersResearchersData scientists

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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