💝 Clawra vs Hermes Agent 🧠
Side-by-side comparison of Clawra and Hermes Agent — two projects in the OpenClaw ecosystem.
Executive Summary
Hermes Agent is the more established choice by community size, while Clawra is the more niche option for teams that care about its specific design tradeoffs.
Use the score table for the hard numbers, then use the decision notes below to figure out which tradeoffs matter for your team.
💝 Clawra
Clawra momentum
2026-04-05 to 2026-05-01
🧠 Hermes Agent
Hermes Agent momentum
2026-04-05 to 2026-05-01
Choose Clawra If...
- + Your team already builds in TypeScript and wants a stack-aligned codebase.
- + Its positioning around companion and persona is closer to what you need.
Choose Hermes Agent If...
- + You want the larger community footprint and stronger proof of adoption in the market.
- + Your team already builds in Python and wants a stack-aligned codebase.
- + MCP connectivity matters for your workflow and you want a tool-friendly integration model.
- + Maintenance signals look stronger right now, with healthier release and commit activity.
Key Differences
- Hermes Agent has 56x more stars (128k vs 2.3k), indicating significantly broader adoption.
- Hermes Agent is growing faster with +11k stars this week vs +7 for Clawra.
- Clawra is written in TypeScript while Hermes Agent uses Python, which may influence your choice depending on your stack.
- Hermes Agent was updated today, while Clawra's last commit was 80 days ago.
- Hermes Agent has MCP (Model Context Protocol) support while Clawra does not.
- Clawra focuses on companion, persona while Hermes Agent targets memory, multi-platform.
Which should you choose?
Both Clawra and Hermes Agent are part of the OpenClaw ecosystem of personal AI agent frameworks. Your choice depends on your priorities — community size, language preference, project maturity, and specific feature focus.
If you want the most battle-tested option with the largest community, Hermes Agent is the clear choice with 128k stars and a mature ecosystem. However, Clawra may be worth considering if you need its focus on companion or prefer TypeScript.
Ultimately, the best choice depends on your specific use case. Check out each project's page for detailed stats and links to their repositories.