Back on Feb 9, I submitted Proxi to Devpost — at a time when agentic systems were still mostly experimental and tools like OpenClaw had just started surfacing.
The idea was simple but ambitious:
- Let AI not just suggest, but actually execute real work on real systems — remotely, safely, and under human control.
Proxi explores:
- Operating system–level task execution (not just APIs or sandboxes)
- Adaptive behavior without rigid workflows
- Human-in-the-loop control for trust and safety
- Verifiable actions instead of black-box outputs
At that time, this space was still forming. Today, we’re seeing a clear shift toward autonomous agents — but with that comes serious questions around control, security, and reliability.
That’s exactly the gap Proxi tries to address.
The project gallery is now public — sharing it here for feedback, critique, and discussion from folks exploring similar directions.
Curious to hear:
- Where do you see real-world adoption of such agents first?
- What would make you trust an AI system to operate your machine?
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