Agent vs hermes-agent

Side-by-side comparison of two AI agent tools

Short answer

  • hermes-agent is growing faster: +5,710 GitHub stars in the last 30 days vs +21 for Agent.
  • Pick Agent for: create state-machine-powered LLM agents using XState. Pick hermes-agent for: the agent that grows with you.

From GitHub data refreshed daily.

Agentopen-source

Create state-machine-powered LLM agents using XState

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hermes-agentopen-source

The agent that grows with you

Metrics

Agenthermes-agent
Stars472250.9k
Star velocity /mo20.684210526315795.7k
Commits (90d)31033.4k
Releases (6m)1010
Overall score0.62457883557274970.946551175635728

Pros

  • +State machine structure provides predictable, auditable agent behavior with clear transition logic
  • +Learning capabilities through observations and feedback enable agents to improve performance over time
  • +Flexible model provider support via Vercel AI SDK integration allows switching between different LLMs

    Cons

    • -Higher complexity compared to simple prompt-based agents, requiring knowledge of both XState and AI concepts
    • -Documentation appears incomplete with placeholder sections for key setup instructions
    • -State machine approach may be overkill for simple conversational agents or basic AI tasks

      Use Cases

      • •Customer service chatbots that need to follow specific escalation workflows and remember interaction history
      • •Game AI characters that must exhibit consistent behavior patterns while adapting to player actions
      • •Automated support systems requiring structured decision trees with learning from resolution outcomes
        View Agent DetailsView hermes-agent Details

        FAQ

        Which is more popular, Agent or hermes-agent?
        hermes-agent has more GitHub stars (250,877 vs 472).
        Which is more actively developed, Agent or hermes-agent?
        hermes-agent had more commits in the last 90 days (33,428 vs 310).
        Should I use Agent or hermes-agent?
        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.