AgentGPT vs LobeHub

Side-by-side comparison of two AI agent tools

Short answer

  • AgentGPT has had no commit in 17 months; LobeHub is actively maintained (2,427 commits in the last 90 days).
  • LobeHub is growing faster: +435 GitHub stars in the last 30 days vs +64 for AgentGPT.
  • Pick AgentGPT for: assemble, configure, and deploy autonomous AI Agents in your browser. Pick LobeHub for: lobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling.

From GitHub data refreshed daily.

AgentGPTopen-source

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

L
LobeHubopen-source

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

Metrics

AgentGPTLobeHub
Stars36.3k83.0k
Star velocity /mo63.96825396825396435
Commits (90d)02.4k
Releases (6m)010
Overall score0.255718201999398040.8533519039832247

Pros

  • +完全自主化执行：AI 代理能够独立思考、规划和执行复杂任务，无需人工干预即可持续迭代优化
  • +便捷的浏览器界面：提供直观的 Web 界面，用户可以轻松创建和管理多个 AI 代理，降低了使用门槛
  • +自动化环境配置：内置 CLI 工具自动处理数据库、后端和前端的设置，大幅简化了部署和配置过程

    Cons

    • -依赖外部 API 服务：需要 OpenAI API 密钥等付费服务，运行成本相对较高，且受第三方服务稳定性影响
    • -资源消耗较大：需要完整的 Docker 环境和数据库支持，对系统资源要求较高，不适合低配置环境
    • -自主决策风险：AI 代理的自主性可能导致不可预测的行为或偏离预期目标的情况

      Use Cases

      • •自动化内容创作：让 AI 代理研究特定主题、收集信息并生成博客文章、报告或营销材料
      • •市场研究和竞品分析：配置代理自动收集行业信息、分析竞争对手策略并生成市场洞察报告
      • •项目管理助手：创建能够自动分解项目任务、跟踪进度并提供优化建议的智能助理代理
        View AgentGPT DetailsView LobeHub Details

        FAQ

        Which is more popular, AgentGPT or LobeHub?
        LobeHub has more GitHub stars (82,959 vs 36,299).
        Which is more actively developed, AgentGPT or LobeHub?
        LobeHub had more commits in the last 90 days (2,427 vs 0).
        Should I use AgentGPT or LobeHub?
        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.