Both are open-source, both are incredibly powerful, and both have massive communities. But they have different strengths.
Quick Comparison
| Hermes | OpenClaw | |
|---|---|---|
| Stars | 23,600 | 347,000 |
| By | Nous Research | Community |
| Superpower | Self-improving learning loop | Massive skill ecosystem |
| Memory | MEMORY.md + USER.md + FTS5 session search | MEMORY.md + USER.md |
| Skills | 7 registries, security scanning, self-improvement | ClawHub (13,000+), ClawSkills.sh |
| Terminal | 6 backends (incl. Modal, Daytona) | Local, Docker, SSH |
| Messaging | Telegram, Discord, Slack, WhatsApp, Signal | Telegram, Discord, Slack, WhatsApp |
| Cron | Full agent sessions | Full agent sessions |
| RL Training | Atropos environments, trajectory compression | Not built-in |
When to Choose Hermes
- ●You want an agent that gets smarter over time (learning loop)
- ●You need serverless GPU execution (Modal, Daytona backends)
- ●You're doing RL research on agent behavior
- ●You want the most advanced memory system (Honcho user modeling, 7 memory providers)
When to Choose OpenClaw
- ●You want the largest skill ecosystem (13,000+ on ClawHub)
- ●You need a specific integration (higher chance someone built it)
- ●You want the most community support (347k stars, massive Discord)
- ●You're building on top of Claude Code patterns
Why Not Both?
AgentCub supports both. Try each one and see which fits your use case:
[🦞 Try OpenClaw →](/dashboard) | [☤ Try Hermes →](/dashboard)
Or browse skills that work with both: