Hey Product Hunt 👋 [Kanth Magleair] here, founder of Amthromax. What inspired this: We kept hitting the same wall with AI assistants — great at one step, useless at real multi-step work. Every correction meant restarting the explanation from scratch, and every task ran one thread at a time even when half of it could've moved in parallel. The problem we set out to solve: Get an AI system to behave less like a single responder and more like a coordinated team — multiple agents working the same problem at once, sharing context, sharing tool access, and staying responsive to new input mid-task instead of only between turns. How our approach evolved: We started by building a fairly standard sequential agent pipeline — plan, then build, then review — and quickly hit the same bottlenecks every "multi-agent" framework hits when the agents are really just taking turns. The real unlock came when we stopped treating tool access and context as private to each agent and built what we now call the Agent-to-Tool Engine: a shared layer every agent reads and writes to directly, so tasks that used to run in sequence now genuinely run at the same time — and a correction you make mid-task actually lands mid-task, instead of waiting for the current step to finish. That's Helleious AI. We think this is the direction agentic AI has to go, and we'd love your first impressions — good, bad, or brutally honest. We'll be in the comments all day. 🙌

Helleious AI

"Multiple AI agents. One tool. Zero friction."

"Multiple AI agents. One tool. Zero friction."