Open source. Open possibilities.

MLflow is an open-source AI engineering platform designed for managing the lifecycle of agents, LLMs, and traditional ML models, focusing on observability, evaluation, and deployment.

Oumi is an open-source platform for the full foundation-model lifecycle: data preparation, training and fine-tuning (SFT, LoRA, QLoRA, GRPO), evaluation, data synthesis with LLM judges, and deployment via vLLM/SGLang, with a CLI and cloud job launching.

Open LLM hallucination benchmark regarding the BNCC (Brazil's National Common Curricular Base). It measures how much models invent official codes and texts using an auditable methodology with raw data and CI.

Iris is a local-first MCP server that scores AI agent runs for quality, safety, and cost using 20 built-in deterministic rules, an optional LLM judge, and a web dashboard — all on your machine with no account or telemetry.