CodeAct vs DeepSeek Harness

Side-by-side comparison of two AI agent tools

Short answer

  • CodeAct has had no commit in 28 months; DeepSeek Harness is actively maintained (19,632 commits in the last 90 days).
  • DeepSeek Harness is growing faster: +16,095 GitHub stars in the last 30 days vs +11 for CodeAct.
  • Pick CodeAct for: official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi. Pick DeepSeek Harness for: deepSeek Harness: Everything is a Plugin.

From GitHub data refreshed daily.

CodeActopen-source

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.

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DeepSeek Harnessopen-source

DeepSeek Harness: Everything is a Plugin.

Metrics

CodeActDeepSeek Harness
Stars1.7k242.1k
Star velocity /mo10.95238095238095316.1k
Commits (90d)019.6k
Releases (6m)010
Overall score0.20791881434288040.9504253212996784

Pros

  • +统一动作空间设计显著提升了智能体在复杂任务上的成功率，相比传统Text/JSON方法提升高达20%
  • +集成Python解释器支持代码执行和动态修正，提供了强大的自我纠错和迭代改进能力
  • +提供完整的开源生态系统，包括训练数据集、预训练模型和部署工具，支持研究和生产应用

    Cons

    • -需要Python环境和代码执行权限，在受限环境下部署存在安全性考虑
    • -模型推理和代码执行的双重开销可能增加延迟和计算成本
    • -对代码生成质量依赖较高，错误的代码可能导致任务失败或系统异常

      Use Cases

      • •自动化API集成和数据处理任务，智能体可以动态调用各种API并处理响应数据
      • •复杂的多步骤问题解决，如数据分析、文件操作和系统管理任务
      • •教育和研究场景中的交互式编程助手，能够执行代码并根据结果调整解决方案
        View CodeAct DetailsView DeepSeek Harness Details

        FAQ

        Which is more popular, CodeAct or DeepSeek Harness?
        DeepSeek Harness has more GitHub stars (242,104 vs 1,705).
        Which is more actively developed, CodeAct or DeepSeek Harness?
        DeepSeek Harness had more commits in the last 90 days (19,632 vs 0).
        Should I use CodeAct or DeepSeek Harness?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.