elizaOS vs Agno

Side-by-side comparison of two AI agent tools

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elizaOSopen-source

Open source agentic operating system

Agnoopen-source

Build, run, manage agentic software at scale.

Metrics

elizaOSAgno
Stars19.5k42.4k
Star velocity /mo1.6k551.7112299465241
Commits (90d)20.0k352
Releases (6m)1010
Overall score0.8792232595980190.7409951578552401

Pros

    • +Production-ready runtime with built-in scalability, session isolation, and native tracing capabilities
    • +Comprehensive monitoring and management through AgentOS UI for testing, debugging, and production oversight
    • +Simple development experience - build sophisticated agents with memory and tools in approximately 20 lines of Python code

    Cons

      • -Python-focused platform with limited examples for other programming languages
      • -Requires multiple dependencies and proper configuration of API keys and database connections
      • -May have a learning curve for implementing complex multi-agent workflows and team coordination

      Use Cases

        • •Building production AI agents with persistent state, memory, and custom tool integrations for customer service or automation
        • •Creating multi-agent teams and workflows for complex business processes that require coordination between specialized agents
        • •Enterprise deployment of AI agents with comprehensive monitoring, user session management, and production-grade reliability requirements

        FAQ

        Which is more popular, elizaOS or Agno?
        Agno has more GitHub stars (42,416 vs 19,524).
        Which is more actively developed, elizaOS or Agno?
        elizaOS had more commits in the last 90 days (19,953 vs 352).
        Should I use elizaOS or Agno?
        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.