Real stateful workflow use case: autonomous bounty system open for LangGraph agents

Real production use case for LangGraph stateful agents

Hi LangGraph team and community,

We have a live autonomous growth system that's a perfect real-world use case for LangGraph stateful workflows — and it has open tasks that need implementation right now.

The system

An autonomous multi-agent system that:

1. Scans bounties (Gitcoin, Immunefi)
2. Generates solutions
3. Submits PRs
4. Tracks revenue
5. Self-improves based on outcomes

This is exactly the kind of long-running, stateful, multi-step workflow LangGraph was built for.

Open tasks (immediate, paid)

• Tiered pricing logic — $15 USDC
• Referral system — $10 USDC
• Auto-upsell middleware — $10 USDC

Bigger picture

We'd love to see a LangGraph workflow that:

1. Reads open issues from our repo
2. Plans implementation steps with checkpointing
3. Writes code iteratively
4. Submits PR
5. Monitors merge status

This would be a showcase example for LangGraph's real-world agentic capabilities.

Repo

https://github.com/Nexussyn/ai-growth-engine