:🚦 Introducing Network-AI: A Traffic Light System for Agent Swarms (OpenClaw Support)

[Jovancoding]

Hi everyone! 👋

I’m Jovan, an SAP developer by day, but I’ve been diving deep into Agent Swarms recently. Like many of you watching the space (shoutout to the daily breakdowns from folks like Matthew Berman and Wes Roth), I realized that as we scale up agents, coordination becomes the biggest bottleneck.

Agents tend to "talk over" each other, overwrite context, or hit rate limits when running in parallel.

So, I built Network-AI.

What it is:
Think of it as a literal Traffic Light for your swarm architecture. It manages the flow of information between agents to prevent collisions and hallucinations caused by race conditions.

Key Features:

🚦 Concurrency Control: Queues agent requests so they execute in a stable order.

🦞 OpenClaw Integration: Specifically designed to handle sub-agent orchestration using OpenClaw.

🛡️ Stability: Prevents the "chaos" of unmanaged multi-agent loops.

Why I’m posting this:
I built this to solve my own headaches, but I want to know if it solves yours. Since I'm new to the open-source swarm community, I would love feedback on:

The Logic: Does this traffic control approach fit your current swarm architecture?

OpenClaw: Are there edge cases in sub-agent handoffs I might have missed?

Features: What would make this drop-in ready for your projects?

Feel free to open an issue, drop a comment below, or just star the repo if you think the concept has potential.

Thanks for checking it out! 🚀