We’ve just released an OpenClaw skill for Blomp.com.
This is strictly for testing for now, but it already opens up some really powerful possibilities.
What makes OpenClaw different?
It’s not just about chatting with AI. It lets AI actually do things:
- Run workflows
- Connect APIs
- Automate multi-step tasks
- Coordinate multiple agents working together
Instead of handling everything one prompt at a time, you can start building real systems.
The challenge: Persistence
Once you build these systems, one thing becomes very clear:
You need persistence.
- Agents need to store outputs
- Share data across steps
- Resume where they left off
Without that, everything resets, workflows break, and coordination becomes messy.
That’s where Blomp fits in really well.
Blomp’s object storage gives you a simple, fast, and reliable layer where everything can live.
Agents can:
- Read and write data in real time
- Share information across workflows
- Stay in sync even if they’re running in different environments.
Because it’s persistent, nothing gets lost between runs. Workflows can continue, agents can build on previous steps, and systems start to feel stable instead of temporary.
And since it’s built to scale, it handles everything from small task outputs to larger datasets without getting in the way.
Why this combination matters
OpenClaw + Blomp starts to feel less like isolated AI tools and more like:
- Coordinated systems
- Persistent workflows
- AI that actually runs and evolves
We’d love your feedback
This is still early and we’re mainly testing how it behaves in real scenarios, but if you’re experimenting with agents or automation, we’d love for you to try it out and share your thoughts.
More to come soon
