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Platos | The runtime for Managed Agents
Your agents. Your servers. Your keys. Your model.
Platos is the open source runtime for shipping AI agents to production. Customer chatbots, internal copilots, AI employees, research agents, anything that needs memory and tools. One docker compose up gives you the full stack - persistent memory across sessions, durable background ops, full MCP gateway, cost dashboards, trace timelines, audit logs, drop-in React widget. Wrap any function with one decorator and it becomes a typed MCP tool. BYOK any LLM.
Hey Product Hunt community! 👋
I'm Tejas, the founder of Winsen Labs and the creator of Platos! I've spent the last year trying to take AI agents to production. Tried every framework. Tried hosted platforms. Tried writing the runtime ourselves. Failed, more times than I'd like to admit.
The library tier ships you parts. You spend months stitching them yourself: memory, observability, scope, auth, rate limits, prompt caching, the streaming loop. Months you don't have. The hosted tier ships you the runtime. You give up your data, your model choice, and your cost line. Vendor lock by another name.
The breakthrough was finding trigger.dev. Background tasks that survive restarts, deploys, and actual production load. Once we had that under the agent loop, the rest of the stack started to click. An agent runtime sitting on top of a durable task engine. That is the formidable force nobody had shipped together.
So we built Platos!
git clone, docker compose up, and you go from prompt to live agent in minutes. Full monitoring, prompt caching, rate limit caps, persistent memory across sessions, MCP gateway, agent clusters, custom skills, all of it. Wrap any function in any backend with one decorator and it becomes a typed tool the agent can call. BYOK any LLM.
Built on Vercel AI SDK, the most widely used agent layer out there. Built on trigger.dev so your agent can kick off long-running operations that survive crashes and deploys. Apache 2.0. Self-host the whole thing on your own infrastructure.
If you have been trying to ship agents to production and felt like every framework is one piece short, this is the one. https://play.platos.dev runs the live demo. The chat bubble in the corner of https://platos.dev is our React widget pointed at the same runtime you would self-host.
Would love your feedback!
Tejas
About Platos | The runtime for Managed Agents on Product Hunt
“Your agents. Your servers. Your keys. Your model.”
Platos | The runtime for Managed Agents was submitted on Product Hunt and earned 14 upvotes and 1 comments, placing #36 on the daily leaderboard. Platos is the open source runtime for shipping AI agents to production. Customer chatbots, internal copilots, AI employees, research agents, anything that needs memory and tools. One docker compose up gives you the full stack - persistent memory across sessions, durable background ops, full MCP gateway, cost dashboards, trace timelines, audit logs, drop-in React widget. Wrap any function with one decorator and it becomes a typed MCP tool. BYOK any LLM.
On the analytics side, Platos | The runtime for Managed Agents competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Platos | The runtime for Managed Agents performed against the three products that launched closest to it on the same day.
Who hunted Platos | The runtime for Managed Agents?
Platos | The runtime for Managed Agents was hunted by Tejas Parthasarathi Sudarshan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Platos | The runtime for Managed Agents including community comment highlights and product details, visit the product overview.
Tejas Parthasarathi Sudarshan