Comments
>log in to comment
We wanted any team building an agent to be able to run ML loops on its own data, without hiring an ML team or building infrastructure. To get started: Connect our MCP, and paste one prompt into Cursor, Claude Code, Codex or OpenCode. Our mission is to make intelligence as easy to create as it is to consume.
More AI tools →74 free dev tools →
- Turn production data into specialized models you own
- Observe agent failures with repository and trace integration
- Data Workshop to clean, filter, and prepare training examples
- Fine‑tune models with LoRA adapters or full training
- Benchmark against real‑world tasks and baseline models
- One‑prompt workflow from data to deployment
Overmind is a platform that turns AI agent production data into specialized fine-tuned models you own.
- for
- Engineering teams building AI agents that need custom models.
- pricing
- freemium
- license
- AGPL-3.0
Key features
- Data Workshop — Build, clean, filter and prepare training datasets from agents’ production traces.
- Observability — Connect repo and traces to view decision graphs, inspect failing steps and tool calls.
- Model Training & Deployment — Fine-tune open models on your data, host on Overmind or self-host, and own the weights.
- Evaluation — Test prompts against real tasks, compare to baseline models and catch regressions before shipping.
- Open Source & Self-hostable — Run the platform on your own infrastructure via Docker Compose; code is AGPL-3.0.
- Enterprise-grade Security — Zero third-party training, encrypted credentials, and compliance options for secure deployments.
Use cases
- Fine-tune a model to classify incoming emails using agent trace data.
- Debug failures in an API-calling agent by inspecting its decision graph.
- Deploy a custom model as an OpenAI-compatible endpoint for production use.
Overmind pricing
- Free$0/ month$50 one-time credits · 1 seat per project · All platform features · Community Discord support
- Pro$120/ month/month$120 credits each month · Unlimited seats · Priority support · All Free features
Overmind vs alternatives
 Overmind |  LlamaIndex |  LangGraph |  Moda |  AI SDK | |
|---|---|---|---|---|---|
| Best for | Custom fine-tuned models from agent traces | Data indexing for LLM apps | Stateful agent frameworks | Agent monitoring and evaluation | TypeScript AI app toolkit |
| Pricing | Freemium | Free | Free | Subscription | Free |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Nov 2026 | — | — | — | — |
- Overmind vs LlamaIndex: LlamaIndex focuses on indexing data for LLM apps, not on training custom agent models.
- Overmind vs LangGraph: LangGraph provides a framework for building stateful agents, whereas Overmind offers a full training and observability platform.
- Overmind vs Moda: Moda offers production monitoring and evals for agents but does not include data preparation or model training.
- Overmind vs AI SDK: AI SDK is a TypeScript toolkit for building AI apps, not a platform for fine-tuning and deploying custom models.
Overmind FAQ
What's the difference between Free and Pro?+
Both include every feature; Free gives one seat per project and a one-time $50 credit, while Pro adds unlimited seats, $120 monthly credits, and priority support.
Can I train and deploy a model on Free?+
Yes. Training and deployment consume credits, and you can prepare datasets and serve models via an OpenAI-compatible API on the Free plan.
What happens when I run out of credits?+
You can add more credits in Settings to start new training, evaluation, or deployment runs; sending traces and viewing results remains free.
Can I take my trained model elsewhere?+
Yes. Trained weights and checkpoints can be downloaded from the Console or CLI and served on your own infrastructure.
Summarized by DevHunt from overmindlab.ai · Nov 12, 2026. Details may change; check the official site.
