Show HN: We built governed multi-agent teams months before Anthropic announced (github.com)

Rigovo has announced the launch of Rigovo Teams, an innovative local-first AI engineering runtime designed to transform task prompts into structured, auditable software delivery workflows. This multi-agent system emphasizes high-quality outputs through rigorous quality gates (Rigour) while maintaining strict cost discipline with intent budgets and approval checkpoints. Unlike traditional chat-first coding assistants, Rigovo orchestrates multi-agent execution, enhancing transparency and accountability with full observability in the project execution process, from classification to finalization. The significance of Rigovo Teams lies in its unique operating model, which prioritizes governance and predictable expenditures for software engineering teams. Its automated pipeline incorporates several advanced features: handling budget overages through approval checkpoints, employing deterministic checks throughout the execution process, and enabling a detailed audit trail of project activities. This structured approach not only reduces wasted tokens and improves output reliability, but also elevates user trust through clear metrics on costs and performance. Rigovo's architecture leverages Python, FastAPI, and a SQLite backend, signaling a robust technical foundation for future development in the AI/ML community.