lot of “autonomous agent” demos are balloons. They look huge in screenshots and collapse the moment you give them responsibility. ClawDBot is fun to watch when you run It plans, It reasons, It talks about what it will do. But the second the task becomes long running, multi step, or concurrent… you ended up becoming the scheduler. You restart it and You correct it. You babysit the loop. Honestly guys That’s not autonomy.That’s interactive scripting with confidence. No real coordination No real separation of roles No persistent execution model No actual workforce People keep calling this a “swarm”, but multiple thoughts in sequence isn’t a swarm. A swarm works at the same time, shares state, locks work, and merges results. So I built what I expected these systems to become: https://github.com/viralcode/openwhale OpenWhale is the father of open claw and it can runs agents like workers, not personalities. Parallel tasks, shared context, coordination, long running workflows, system automation. It behaves closer to processes than prompts. Meaning you stop supervising every step and start assigning objectives. You heard it right it can fricking run swarm of agents securely do everything clawdbot does in a better and safe way. Not claiming perfection.But I do think we’re confusing reasoning with architecture right now. Curious what others experienced: Have you actually left ClawDBot running unattended on real work ? At what complexity level do current agents stop being autonomous ? Do we need smarter models or better systems around them ? submitted by /u/IngenuityFlimsy1206
Originally posted by u/IngenuityFlimsy1206 on r/ArtificialInteligence
You must log in or # to comment.