LobeHub vs SuperAGI

Side-by-side comparison of two AI agent tools

Short answer

  • SuperAGI has had no commit in 20 months; LobeHub is actively maintained (2,429 commits in the last 90 days).
  • LobeHub is growing faster: +1,358 GitHub stars in the last 30 days vs +57 for SuperAGI.
  • Pick LobeHub for: open-source platform for building, scheduling, and managing collaborative AI agent teams. Pick SuperAGI for: < SuperAGI - A dev-first open source autonomous AI agent framework.

From GitHub data refreshed daily.

Open-source platform for building, scheduling, and managing collaborative AI agent teams

SuperAGIopen-source

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Metrics

LobeHubSuperAGI
Stars83.0k17.7k
Star velocity /mo1.4k56.82539682539682
Commits (90d)2.4k0
Releases (6m)100
Overall score0.90499286573186640.2507547304771036

Pros

  • +支持多代理协作和人机共同进化的创新理念,提供了新型的AI协作模式
  • +功能全面,集成了MCP插件、多模型支持、语音对话、图像生成等多种AI能力
  • +拥有活跃的开源社区,GitHub获得74400个星标,持续更新和改进
  • +完整的开源框架生态:提供从开发到部署的全链条工具,包括云服务、扩展市场和API接口
  • +活跃的社区支持:拥有Discord社区、Reddit论坛和详细的文档,便于开发者学习和获得帮助
  • +多样化的部署选项:既支持自主部署,也提供云端托管服务,适合不同规模的项目需求

Cons

  • -作为综合性平台,学习曲线可能较�陡峭,新用户需要时间熟悉各项功能
  • -多代理协作功能较为复杂,可能需要一定的AI和编程基础才能充分利用
  • -依赖多种外部AI服务提供商,可能面临成本和可用性的挑战
  • -框架复杂性:作为综合性框架,可能对初学者来说学习曲线较陡峭
  • -开源项目依赖:框架的更新和维护依赖于社区贡献,可能存在版本兼容性问题

Use Cases

  • •团队协作场景中,创建专业化的AI代理来处理不同任务,如代码审查、文档编写、数据分析等
  • •个人工作流优化,通过多个AI代理的配合来提高日常工作效率和质量
  • •研究和开发环境,用于实验新的AI协作模式和测试不同的代理配置
  • •企业自动化:构建智能客服代理、文档处理代理或业务流程自动化系统
  • •开发者工具:创建代码审查代理、测试自动化代理或项目管理助手
  • •个人助理应用:开发智能日程管理、信息聚合或任务执行代理

FAQ

Which is more popular, LobeHub or SuperAGI?
LobeHub has more GitHub stars (82,957 vs 17,702).
Which is more actively developed, LobeHub or SuperAGI?
LobeHub had more commits in the last 90 days (2,429 vs 0).
Should I use LobeHub or SuperAGI?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.