AgentLabs vs Casdoor

Side-by-side comparison of two AI agent tools

AgentLabsopen-source

Universal AI Agent Frontend. Build your backend we handle the rest.

C
Casdooropen-source

An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML

Metrics

AgentLabsCasdoor
Stars55814.5k
Star velocity /mo2.56684491978609631.2k
Commits (90d)0323
Releases (6m)010
Overall score0.174671983689143830.7765806861892602

Pros

  • +Comprehensive frontend solution that includes authentication, chat UI, analytics, and payment processing out of the box
  • +Real-time bidirectional streaming SDKs for Python and TypeScript enable responsive agent interactions
  • +Open-source architecture with both self-hosting and managed cloud hosting options available

    Cons

    • -Project appears to be discontinued according to repository badges, raising concerns about long-term support
    • -Still in Alpha stage with limited features and potential instability
    • -Self-hosting documentation is incomplete, with recommendation to use cloud version instead

      Use Cases

      • •Rapidly deploying AI agents to public users without building custom frontend infrastructure
      • •Creating multi-agent chat applications with built-in user authentication and session management
      • •Launching commercial AI agent services with integrated analytics and payment processing capabilities

        FAQ

        Which is more popular, AgentLabs or Casdoor?
        Casdoor has more GitHub stars (14,501 vs 558).
        Which is more actively developed, AgentLabs or Casdoor?
        Casdoor had more commits in the last 90 days (323 vs 0).
        Should I use AgentLabs or Casdoor?
        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.