The first few days were exciting. It felt like we’re finally getting closer to autonomous agents that can actually operate a computer end-to-end. But after the initial excitement faded, I started noticing some consistent issues:
- It frequently stops responding mid-task
- Execution fails without clear recovery
- Task success rate feels inconsistent and unpredictable
- Long-running tasks degrade over time
It made me wonder whether the current architecture is fundamentally limiting reliability.
Right now, it feels closer to a “single program trying to do everything” model. But if we look at the history of computing, systems only became truly robust when we moved toward operating system–like abstractions:
- event-driven execution
- proper failure recovery
- watchdog / heartbeat monitoring
- task supervision trees
- state persistence and resumability
In other words, less like a script, more like an OS.
My current hypothesis is that tools like OpenClaw might need a deeper re-architecture — not just better prompting or incremental patches — but a system-level rethink focused on reliability and scalability from day one.
Curious what others think:
Is this mainly an engineering maturity issue that will be fixed incrementally?
Or is there a more fundamental architectural gap in current agent frameworks?
Has anyone tried building agents with more OS-like supervision models?
Would love to hear perspectives from people building in this space.