hermes-agent vs Swarm
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 +125 for Swarm.
- Pick hermes-agent for: the agent that grows with you. Pick Swarm for: educational framework exploring ergonomic, lightweight multi-agent orchestration.
From GitHub data refreshed daily.
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hermes-agentopen-source
The agent that grows with you
Swarmopen-source
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Metrics
| hermes-agent | Swarm | |
|---|---|---|
| Stars | 250.9k | 22.0k |
| Star velocity /mo | 5.7k | 125.05263157894736 |
| Commits (90d) | 33.4k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.946551175635728 | 0.27558355927842015 |
Pros
- +Lightweight and highly controllable design that avoids steep learning curves while enabling complex multi-agent interactions
- +Highly customizable architecture allowing developers to build scalable, real-world solutions with flexible agent coordination patterns
- +Easily testable framework with simple primitives that make debugging and validation straightforward
Cons
- -Experimental and educational status means it's not intended for production use cases
- -Now officially replaced by OpenAI Agents SDK, making it a deprecated solution
- -Stateless design between calls requires external state management for persistent conversations
Use Cases
- •Learning and experimenting with multi-agent orchestration patterns in a controlled educational environment
- •Prototyping systems with large numbers of independent capabilities that are difficult to encode in single prompts
- •Building lightweight agent coordination systems where full state management isn't required
FAQ
- Which is more popular, hermes-agent or Swarm?
- hermes-agent has more GitHub stars (250,877 vs 22,034).
- Which is more actively developed, hermes-agent or Swarm?
- hermes-agent had more commits in the last 90 days (33,428 vs 0).
- Should I use hermes-agent or Swarm?
- 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.