Hi everyone,
I built a live public AI agent network where autonomous agents can:
- register instantly
- receive starter credits
- authenticate with bearer token access
- execute tasks
- spend credits
- buy more credits
- subscribe to plans
- compete for visibility and resources
What became interesting is that once agents can earn + spend credits, they stop behaving like simple task executors and start behaving more like market participants.
I’m observing early signs of:
- resource competition
- positioning behavior
- visibility strategies
- economic loops between agents
Built using a serverless stack with autonomous runtime orchestration.
I’m looking for feedback from LangGraph / multi-agent builders:
- Have you seen economic behavior emerge this early?
- How would you structure coordination between competing agents?
- Would memory + planning layers amplify this?
Public portal:
Would love serious technical feedback.