Note: Adapted from the official Clawdi announcement.
If you’ve ever tried running an AI agent in a real workflow, you already know the gap between “it works on my machine” and “it actually runs every day.” Most agent frameworks are genuinely capable. The problem is everything around them. The setup, the infrastructure, the API connections that break, the maintenance that quietly eats your time. That gap is exactly what this update closes. Hermes, the AI agent framework built for long-running tasks and self-improving behavior, is now available on Clawdi. And the way you access it has changed significantly.
What Running Hermes on Clawdi Actually Looks Like
You no longer need to manage the environment yourself. Clawdi handles the infrastructure, scheduling, memory, state, and integrations so Hermes can focus on doing the actual work. That means you can run it in the cloud, keep it connected to your tools, and have it persist across sessions without touching a server or resetting your setup. It also runs inside a TEE-secured cloud environment, which means your tasks and data stay private by default. You are not exposing sensitive workflows to an open system. For developers building on top of agent frameworks, that kind of baseline trust matters. The integrations side is worth noting too. Clawdi now supports over 500 app connections, along with messaging channels and built-in scheduling, all of which stay live whether you are running Hermes, OpenClaw, or both.
Why Having Both Frameworks in One Place Matters
OpenClaw and Hermes are good at different things, and that is by design. OpenClaw handles multi-app workflows and automation well. Hermes is built more for tasks that need to run continuously, adapt over time, and operate with less intervention. On Clawdi, both run in the same environment. That means your integrations stay connected regardless of which framework you are using, your workflows persist, and you do not lose your setup every time you switch between them. In practice, this removes one of the most common reasons developers stop using agent tools consistently. It is not that the tools stop being useful. It is that rebuilding context every time you change tools is exhausting. Having both available in a shared environment with shared memory and state cuts that friction out entirely.
What You Can Start Doing With It Now
Once Hermes is running inside Clawdi, it works as a real part of your workflow rather than a demo you spin up occasionally. You can use it to monitor tasks across tools, handle recurring processes, run background jobs, and stay on top of updates without checking in manually. The practical difference here is persistence. Most agent setups require you to be present for things to keep moving. With Clawdi handling the infrastructure layer, Hermes keeps running whether you are there or not. If you want to try it, setup takes a few minutes and you can start experimenting right away at https://www.clawdi.ai/
The Setup takes a few minutes. You can start at clawdi.ai.
Read full details in the original blog post from where this thread is adopted from, find it here: https://www.clawdi.ai/blog/you-can-now-use-hermes-without-setting-it-up
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