Launching today
Overmind
Open-source platform for continuous learning
34 followers
Open-source platform for continuous learning
34 followers
Overmind is the model training platform for AI teams. Turn your production traces into specialised models you own, trained, benchmarked, and served.
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Promoted
Heyyy PH, Frey here, founding engineer at Overmind.
When most teams hear "build your own AI", they picture a research lab, a GPU budget and a year of hiring. We think it should feel more like flipping a switch. So we built one open-source platform that watches every agent you have in production, learns from your own data, trains models made for those agents and keeps making them better well after launch. All of it runs on your own infrastructure, so your data never leaves your hands. The traffic you see today turns into tomorrow's training set, and your agent gets a little better every day.
We kept one test in our heads the whole time: can someone who has never fine-tuned a model go from one prompt in their coding agent to their own model in production? Making the answer yes is what the whole team spent the last few months on.
It is all open source, so if something looks off, open an issue or come find me in the comments. Happy to go as deep as you want on the technical side!
Toodaloo 👋
@freyam7 toodaloo!
Hey Product Hunt 👋
I'm Tyler, co-founder and CEO of Overmind.
Overmind is the open-source platform for AI agent training. What we're working towards is giving every product its own AI lab. 🚀
Most AI products run on the same few frontier models. A frontier lab works differently, collecting data, building evals, training, testing. Ship and repeat.
To get started: Connect our MCP, and paste one prompt into Cursor, Claude Code, Codex or OpenCode.
What you get:
🔸 Tracing: OpenTelemetry traces, scored as they arrive and matched to the part of your agent that produced them
🔸 Datasets: production traces turned into versioned eval and training sets
🔸 Evals: you define what "good" means for each capability, and Overmind measures it on live traffic
🔸 Optimisers: prompt, tool and code experiments run in your repo, and the winner comes back as a git diff
🔸 Fine-tuning: small specialised models trained on your data and benchmarked against the model you run today, with weights you can download and export
🔸 Inference: your own models and frontier models behind one OpenAI-compatible API
Why are we doing this? 💭
Today, millions of developers can build with AI, but creating and improving the models behind it still requires expertise concentrated in relatively few teams.
We believe that gap will close. Every application, business, device and individual has different needs. Meeting those needs will require more people to be able to create, test and run specialized models.
Computing became widespread as processors became cheap enough to build into almost anything, and development tools made them useful to far more people. We believe intelligence needs a similar expansion in who can build it and where it can run.
Overmind is our contribution to that: putting the work of an AI lab into tools any developer can use, so they can create, own and improve intelligence for their own tasks.
Our mission is to make intelligence as easy to create as it is to consume.
The team is here all day. What would you train first?
The humans at Overmind ❤️ 🌎
A big shoutout to the guy who designed the website ❤️
@vijayanandkailash our second proudest asset (after the platform) :)
Super happy to be launching Overmind today 🔥 want to get started? Paste this onboarding prompt into the coding agent of your choosing and let it work:
"Set me up on Overmind https://console.overmindlab.ai/setup.md"