The Training Platform for Specialized Agents

Console | Site | Self-host

Overmind continuously trains & improves your agents, with data from your production traces

The SDK and CLI you install (pip install overmind) are MIT. The platform behind them is AGPL-3.0 and you can self-host it. Details in Licence.

Point it at your agent's codebase and it turns production traces (or any dataset) into a fine-tuned model, benchmarked against the eval metrics you define and served via 1 unified API, with no ML infrastructure to build.

The weights are yours to download, retrain or roll back.

Available from the Console, the overmind CLI, the REST API, and an MCP server for Cursor, Claude Code, OpenCode and Codex. Hosted at console.overmindlab.ai or run it yourself.

Get started

Hosted

Sign up at console.overmindlab.ai, pick your coding agent on Get started — Cursor, Claude Code, OpenCode or Codex — and paste the onboarding prompt into it with your agent's repo open. It installs overmind, runs overmind init and overmind sync, and builds the context graph. From then on everything is a /overmind command in the same chat:

Command	What it does
/overmind ensure-tracing	Inspect traces and instrument the agent
/overmind dataset	Build, clean, upload or export a dataset
/overmind finetune	Fine-tune, deploy and smoke-test a model
/overmind optimise	Run prompt and code optimisation
/overmind backtest	Compare models against the agent's own traces

Run it yourself

Self-hosting keeps traces and training data inside your own network. The hosted and self-hosted stacks are the same code.

git clone https://github.com/overmind-core/overmind.git && cd overmind
cp .env.example .env    # set the required keys below
docker compose up -d    # Postgres, Redis, API on :8000, Console on :5173, Celery workers, beat, Grafana on :3001