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Hey Everyone, I recently launched a platform close to my heart — AI Agents for Machines, and I’d love to open up a conversation around some ideas and questions 👇
1️⃣ What is “AI Agents for Machines”?It’s a platform that lets you build & test AI agents designed to control real-world machines. It talks to sensors & actuators using the communication protocols like OPC UA , MQTT, REST , ROS functions, machine skills — meaning it can understand machine states , plan, reason and act accordingly.
2️⃣ Why this matters:Machines are getting smarter, but most still rely on static logic or hardcoded rules. We’re aiming to bridge that gap — giving developers the tools to build AI agents that can reason, decide, and act autonomously.
3️⃣ Who is this for? (Agents for Human machine collaboration)Engineers building industrial systems, smart factory developers, researchers in robotics/automation, and tinkerers who want their machines to do more with less input.
4️⃣ The tech stack:🧠 AI decision layers🔌 industrial communication protocols📈 Real-time sensor readings⚙️ Actuator control🧪 Testing tools inside the platform
5️⃣ Some questions for the community:– Have you experimented with ai agents to interface machine or hardware before?– What do you think is the biggest barrier to wider adoption?– Would you want a no-code or low-code layer to build your own agents?
-- What all are the communication protocols needs to included?
6️⃣ My goal:I want to empower people to build their own AI agents for their machines — to test them, deploy them, and continuously improve them using reinforcement learning. Over time, users will even be able to create multi-agent systems that collaborate and evolve together.
7️⃣ You can check out the launch here 👇[🔗 Link : https://www.producthunt.com/products/ai-agents-for-machines]
Youtube video Demo: https://www.youtube.com/live/Tk_2sFiI2q8?si=VBo_aKtJlkKa6PzC
Let’s jam on ideas, insights, or even feature suggestions! 🚀
