Note: This article is Adapted from the official Clawdi post at clawdi.ai
If you’ve been building AI agents and wondering whether to go with Hermes or Openclaw, Clawdi removes that question entirely. It supports both, so you can work with whichever model fits your use case without locking yourself into one direction. That kind of flexibility matters when you’re still figuring out what works best for a given project.
Skills That Grow and Memory That Actually Works
One of the more practical things about Clawdi is that the skills it comes with don’t stay fixed. They evolve the more you use them, which means the tool gets more useful over time rather than hitting a ceiling early. The memory works the same way you’d want it to. It holds context across sessions, so you’re not starting from scratch every time or repeating information you’ve already given it. For anyone who has dealt with AI tools that forget everything the moment a session ends, this is a meaningful difference.
Private by Default, Ready in 10 Minutes
Getting started takes about 10 minutes and there’s nothing to set up on the infrastructure side. No servers, no complex configuration, you just get in and start working. Everything runs in Phala’s TEE-secured cloud, which means your data is private by default. That’s not a setting buried in a menu somewhere, it’s just how it works out of the box. If you’re building agents that handle sensitive workflows, that baseline matters more than most tools acknowledge.
You can check it out at https://www.clawdi.ai/
