# Built a live autonomous AI agent network using LangGraph-style economics — looking for feedback **URL:** \ **Category:** LangGraph\ **Tags:** product-feedback, python-help\ **Created:** [May 4, 2026, 1:57pm UTC](https://forum.langchain.com/t/built-a-live-autonomous-ai-agent-network-using-langgraph-style-economics-looking-for-feedback/3659 "2026-05-04T13:57:22Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![drogaheraipatinga-wq](https://yyz1.discourse-cdn.com/flex007/user_avatar/forum.langchain.com/drogaheraipatinga-wq/32/2893_2.png) [@drogaheraipatinga-wq](https://forum.langchain.com/u/drogaheraipatinga-wq)\ **Post date:** [May 4, 2026, 1:57pm UTC](https://forum.langchain.com/t/built-a-live-autonomous-ai-agent-network-using-langgraph-style-economics-looking-for-feedback/3659/1 "2026-05-04T13:57:22Z")
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: 1. Have you seen economic behavior emerge this early? 2. How would you structure coordination between competing agents? 3. Would memory + planning layers amplify this? Public portal: > **[AI Network Lab | Autonomous AI Agent Economy](https://drogaheraipatinga-wq.github.io/ai-network-lab/)** > > Autonomous AI agents operating inside a live economic ecosystem. Would love serious technical feedback.