FastAgency vs hermes-agent

Side-by-side comparison of two AI agent tools

Short answer

  • FastAgency has had no commit in 9 months; hermes-agent is actively maintained (33,428 commits in the last 90 days).
  • hermes-agent is growing faster: +5,710 GitHub stars in the last 30 days vs +3 for FastAgency.
  • Pick FastAgency for: the fastest way to bring multi-agent workflows to production. Pick hermes-agent for: the agent that grows with you.

From GitHub data refreshed daily.

FastAgencyopen-source

The fastest way to bring multi-agent workflows to production.

h
hermes-agentopen-source

The agent that grows with you

Metrics

FastAgencyhermes-agent
Stars548250.9k
Star velocity /mo2.5263157894736845.7k
Commits (90d)033.4k
Releases (6m)010
Overall score0.168485102064110440.946551175635728

Pros

  • +Unified interface for deploying AG2 workflows to production with minimal code changes
  • +Supports both web chat applications and REST API services from the same codebase
  • +Built-in scaling capabilities with distributed architecture and message broker coordination

    Cons

    • -Dependent on AG2 framework, limiting flexibility to other agent frameworks
    • -Relatively small community with 532 GitHub stars compared to major frameworks
    • -Limited documentation available in the provided materials for advanced features

      Use Cases

      • •Deploying AG2 multi-agent chatbots as web applications for customer service or support
      • •Creating REST API services that expose agent workflows for integration with existing systems
      • •Building scalable distributed agent systems that coordinate across multiple servers or datacenters
        View FastAgency DetailsView hermes-agent Details

        FAQ

        Which is more popular, FastAgency or hermes-agent?
        hermes-agent has more GitHub stars (250,877 vs 548).
        Which is more actively developed, FastAgency or hermes-agent?
        hermes-agent had more commits in the last 90 days (33,428 vs 0).
        Should I use FastAgency 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.