hermes-agent vs LLM Agents

Side-by-side comparison of two AI agent tools

Short answer

  • LLM Agents has had no commit in 15 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 +2 for LLM Agents.
  • Pick hermes-agent for: the agent that grows with you. Pick LLM Agents for: build agents which are controlled by LLMs.

From GitHub data refreshed daily.

h
hermes-agentopen-source

The agent that grows with you

LLM Agentsopen-source

Build agents which are controlled by LLMs

Metrics

hermes-agentLLM Agents
Stars250.9k1.1k
Star velocity /mo5.7k2.0526315789473686
Commits (90d)33.4k0
Releases (6m)100
Downloads (30d, npm + PyPI)—14
Overall score0.9465511756357280.1665593033584882

Pros

    • +Educational transparency with minimal abstraction layers for understanding agent mechanics
    • +Easy customization and extension with simple tool integration API
    • +Lightweight codebase that's easy to modify and debug

    Cons

      • -Limited built-in tools compared to comprehensive frameworks like LangChain
      • -Requires manual setup of API keys for OpenAI and optional SERPAPI services
      • -Lacks advanced features like memory management, conversation history, or production optimizations

      Use Cases

        • •Learning how LLM agents work by studying and modifying a simple implementation
        • •Rapid prototyping of custom agent workflows with specific tool combinations
        • •Building educational demos or simple automation tasks where transparency matters more than features
        View hermes-agent DetailsView LLM Agents Details

        FAQ

        Which is more popular, hermes-agent or LLM Agents?
        hermes-agent has more GitHub stars (250,877 vs 1,055).
        Which is more actively developed, hermes-agent or LLM Agents?
        hermes-agent had more commits in the last 90 days (33,428 vs 0).
        Should I use hermes-agent or LLM Agents?
        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.