I'm the founder of Vilix AI, and I'm posting to get feedback, not to sell anything. I run scheduled tasks and agents for my own business, and I kept hitting the same problem: the agents forgot what they had already decided. Rejected options came back, dead ends got retried, and every new run started from zero. So I built a cloud memory layer that connects over MCP. The same memory is available on every tool and device, and the agents check it at the start of a run and save to it at the end. There's a free plan with no credit card. You can export or delete your data anytime. I'd like to know what breaks for you. Are your agents forgetting decisions between runs? Do overlapping scheduled runs repeat work? Is there a failure you've never been able to track down? What did you try, and what did you do instead? Tell me what you're running and where it hurts, and I'll read every reply.   submitted by   /u/Asly97 [link]   [comments]