AgentLabs vs Kortix

Side-by-side comparison of two AI agent tools

Short answer

  • AgentLabs has had no commit in 20 months; Kortix is actively maintained (8,416 commits in the last 90 days).
  • Kortix is growing faster: +40 GitHub stars in the last 30 days vs +3 for AgentLabs.
  • Pick AgentLabs for: universal AI Agent Frontend. Pick Kortix for: the open-source AI Management System.

From GitHub data refreshed daily.

AgentLabsopen-source

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

K
Kortixopen-source

The open-source AI Management System

Metrics

AgentLabsKortix
Stars55820.2k
Star velocity /mo2.52631578947368440
Commits (90d)08.4k
Releases (6m)010
Overall score0.168329977194730060.737931655573962

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
        View AgentLabs DetailsView Kortix Details

        FAQ

        Which is more popular, AgentLabs or Kortix?
        Kortix has more GitHub stars (20,242 vs 558).
        Which is more actively developed, AgentLabs or Kortix?
        Kortix had more commits in the last 90 days (8,416 vs 0).
        Should I use AgentLabs or Kortix?
        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.