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Overmind is a model training platform designed for engineering teams that build and operate AI agents. It transforms production traces and real agent behavior into specialized models that organizations can own and control. The platform supports the complete model development workflow, including understanding agent failures, preparing training data, evaluating prompts and models, fine tuning open models, and deploying trained systems. Teams can connect repositories and production traces to inspect agent decisions, tool calls, context, capabilities, and failure points. Its Data Workshop helps users clean filter and organize real production examples into datasets for training and evaluation. Evaluation tools compare new models with existing systems, expose failures, and identify regressions before release. Overmind manages training runs and deployment while allowing customers to host models on Overmind or operate them independently. The platform is open source under the AGPL 3.0 license and can be self hosted with Docker Compose. It emphasizes enterprise security, deterministic validation, proprietary data protection, and zero third party training. Overmind was founded by engineers with experience in defense intelligence machine learning infrastructure and fintech scaling.
