Athena

AEGIS-Ω is a constitutional AI runtime designed to govern and verify AI decision-making through execution rather than relying on training objectives alone. Its platform records decisions in a live SHA-256 hash chain, allowing activity to be replayed from genesis and checked for tampering. The system combines deterministic data structures, retrospective replay, and Byzantine fault-tolerant consensus to ensure claims are tiered by evidence and unproven changes cannot reach its highest verification level. Its runtime rules also constrain confidence and orchestration weights, and halt operation when versions diverge.

The AEGIS-Ω Platform provides API access to 39 governed agents that collaborate on objectives, create artifacts, and return results with a constitutional audit and replay-verifiable chain. Available services include synchronous collaboration, asynchronous executions, live server-sent event streams, and runtime status checks. Users can explore sample workflows, while the free Explorer tier offers 10 runs without requiring a payment card.

AEGIS-Ω is transparent about its limits: it governs rather than replaces underlying models, prioritizes verifiability over throughput, and is described as a single-author runtime without a managed fleet or peer cluster. The project is offered under AGPL-3.0.