Google is a leader in The Forrester Wave™: Public Cloud Platforms, Q3 2026
cloud.google.com·5d ago
Cloud & Infrastructure
The New Stack·Jun 23·5 min read
OpenClaw and Hermes agree on what an agent is. They disagree on what controls it.
TL;DR
There was a need for a framework that allows AI agents to operate independently without user initiation. OpenClaw, an open-source harness, enables continuous operation and learning for AI models like Microsoft's Scout.
✦ Why It Matters
Engineers can leverage OpenClaw to create AI systems that operate autonomously, improving efficiency and user interaction.
Key Takeaways
- Consider OpenClaw for applications needing multi-channel communication.
- Use Hermes for agents that require persistent learning and skill refinement.
- Evaluate governance and security features before deploying an agent.
- Explore the integration capabilities of both frameworks for your projects.
How It Works
OpenClaw acts as a gateway, connecting AI agents to various messaging platforms, while also providing governance controls. Hermes, on the other hand, focuses on maintaining a persistent memory that allows agents to learn from past interactions and improve their performance over time.