Multi-GPT vs OpenHuman

Side-by-side comparison of two AI agent tools

Short answer

  • Multi-GPT has had no commit in 40 months; OpenHuman is actively maintained (22,774 commits in the last 90 days).
  • OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +1 for Multi-GPT.
  • Pick Multi-GPT for: an experimental open-source attempt to make GPT-4 fully autonomous. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.

From GitHub data refreshed daily.

Multi-GPTopen-source

An experimental open-source attempt to make GPT-4 fully autonomous.

O
OpenHumanopen-source

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

Metrics

Multi-GPTOpenHuman
Stars56540.5k
Star velocity /mo0.6315789473684212.5k
Commits (90d)022.8k
Releases (6m)010
Overall score0.14793288688442230.9308227395695856

Pros

  • +多代理协作机制：不同专家可以发挥各自优势，理论上比单一代理能处理更复杂的任务
  • +完整的记忆系统：支持长短期记忆管理，支持多种后端（Redis、Pinecone、Milvus、Weaviate）
  • +互联网访问能力：具备搜索和信息收集功能，可以访问流行网站和平台获取实时信息

    Cons

    • -实验性项目：稳定性和可靠性未经充分验证，可能存在未知风险
    • -配置复杂：需要多个 API 密钥和记忆后端设置，学习和部署门槛较高
    • -资源消耗大：运行多个 GPT-4 实例会显著增加 API 调用成本和计算资源需求

      Use Cases

      • •复杂研究项目：需要整合多个学科知识和专业技能的研究任务
      • •长期项目管理：需要持续记忆和状态跟踪的项目，如产品开发或学术研究
      • •自动化信息工作流：大规模信息收集、分析和处理任务的自动化
        View Multi-GPT DetailsView OpenHuman Details

        FAQ

        Which is more popular, Multi-GPT or OpenHuman?
        OpenHuman has more GitHub stars (40,486 vs 565).
        Which is more actively developed, Multi-GPT or OpenHuman?
        OpenHuman had more commits in the last 90 days (22,774 vs 0).
        Should I use Multi-GPT 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.