hermes-agent vs Agno

Side-by-side comparison of two AI agent tools

Short answer

  • hermes-agent is growing faster: +5,760 GitHub stars in the last 30 days vs +558 for Agno.
  • Pick hermes-agent for: the agent that grows with you. Pick Agno for: build, run, manage agentic software at scale.

From GitHub data refreshed daily.

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hermes-agentopen-source

The agent that grows with you

Agnoopen-source

Build, run, manage agentic software at scale.

Metrics

hermes-agentAgno
Stars250.9k42.5k
Star velocity /mo5.8k558.2539682539682
Commits (90d)33.4k351
Releases (6m)1010
Overall score0.95017616633487660.814447863455959

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, hermes-agent or Agno?
        hermes-agent has more GitHub stars (250,877 vs 42,524).
        Which is more actively developed, hermes-agent or Agno?
        hermes-agent had more commits in the last 90 days (33,428 vs 351).
        Should I use hermes-agent 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.