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Show HN: I Built "Vercel for Stateful AI Agents" – open-source, cost-efficient

Hacker News - AI
Jul 28, 2025 23:15
cyw
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Summary

Agentainer is an open-source platform designed to simplify the deployment and management of long-running, stateful AI agents by providing persistent memory, auto-recovery, and live API endpoints with minimal infrastructure setup. Unlike traditional cloud solutions built for stateless workloads, Agentainer addresses the unique needs of AI agents, reducing the complexity of production deployment. This innovation could streamline the development and scaling of advanced AI applications by lowering operational barriers.

tl;dr: Like Vercel, but for stateful AI agents. Deploy your container and instantly get an agent with persistent memory, auto-recovery, and a live API endpoint—zero infrastructure work required. Hey HN, I’m Cyw, the founder of Agentainer (https://agentainer.io/), a platform designed to deploy and manage long-running AI agents with zero DevOps. We just launched the first open source version of Agentainer: Agentainer Lab (https://github.com/oso95/Agentainer-lab) on GitHub. Little bit of background: most infrastructure today is built for short-lived, stateless workloads—Lambda, Cloud Run, or even Kubernetes pods. But AI agents aren’t like that. They’re long-running processes with memory, history, and evolving state. Running them reliably in production usually means gluing together a bunch of services (volume mounts, retry queues, crash recovery, gateways, etc.) just to approximate what a simple web app gets out of the box. To make my life easier when deploying agents for projects (both pe
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