MiniAGI vs OpenHuman

Side-by-side comparison of two AI agent tools

Short answer

  • MiniAGI has had no commit in 40 months; OpenHuman is actively maintained (22,600 commits in the last 90 days).
  • OpenHuman is growing faster: +3,180 GitHub stars in the last 30 days vs +2 for MiniAGI.
  • Pick MiniAGI for: miniAGI is a simple general-purpose AI agent based on the OpenAI API. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.

From GitHub data refreshed daily.

MiniAGIopen-source

MiniAGI is a simple general-purpose AI agent based on the OpenAI API.

O
OpenHumanopen-source

OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust

Metrics

MiniAGIOpenHuman
Stars2.9k40.4k
Star velocity /mo2.22222222222222233.2k
Commits (90d)022.6k
Releases (6m)010
Overall score0.17892627668842610.9408550749378012

Pros

  • +轻量级设计,代码简洁易于理解和修改,适合学习AGI架构原理
  • +内置工具执行能力,可以运行Python代码和Shell命令来完成实际任务
  • +具备自我批评和反思机制,可选的critic模块提升任务执行准确性

    Cons

    • -功能相对基础,缺乏复杂的规划和多步骤任务管理能力
    • -依赖OpenAI API,在网络连接或API配额方面存在限制
    • -安全风险警告明确,可能生成有害命令,需要谨慎使用

      Use Cases

      • •自动化编程任务,如生成图像、创建网站或数据处理脚本
      • •研究和教育用途,学习AI代理的基本架构和实现原理
      • •原型开发,快速测试基于LLM的自主任务执行想法

        FAQ

        Which is more popular, MiniAGI or OpenHuman?
        OpenHuman has more GitHub stars (40,447 vs 2,918).
        Which is more actively developed, MiniAGI or OpenHuman?
        OpenHuman had more commits in the last 90 days (22,600 vs 0).
        Should I use MiniAGI or OpenHuman?
        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.