Show HN: Fosnie – open-source self-hosted AI workspace for regulated teams (fosnie.dev)

Fosnie has launched as an open-source, self-hosted AI workspace designed specifically for regulated teams. This platform allows organizations to fully control their data by configuring it entirely on local services, ensuring compliance and security by limiting data transmission to only user-defined sources. Significant features include a hybrid search and ranking system, acting as an agent with human-in-the-loop approval processes, and model-agnostic architecture, which permits users to integrate their own tools and APIs while managing their data governance effectively. The implications for the AI/ML community are substantial, as Fosnie prioritizes compliance and safety in AI interactions. Its abilities to ground answers through robust document retrieval maintain high standards for evidence-based responses, while the Deep Research tool adapts to specific reporting requirements. This makes Fosnie a promising option for enterprises that need scalable solutions tailored to both regulatory demands and complex workflows, thus addressing a critical gap in the market for compliant AI tooling. As planned features are rolled out, Fosnie aims to become an essential resource for teams navigating the multifaceted challenges of AI deployment in regulated environments.