Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.
Quantitative governance for AI agents and engineering decisions. AEGIS evaluates proposals through six quantitative gates — Risk, Profit, Novelty, Complexity, Quality, Utility — and returns a structured decision ( / / / ) with confidence scores, rationale, and a hash-chained audit trail. Give your agent a decision gate it can call before it acts — and an audit record compliance can actually read…
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Quantitative governance for AI agents and engineering decisions. AEGIS evaluates proposals through six quantitative gates — Risk, Profit, Novelty, Complexity, Quality, Utility — and returns a structured decision ( / / / ) with confidence scores, rationale, and a hash-chained audit trail. Give your agent a decision gate it can call before it acts — and an audit record compliance can actually read (NIST AI RMF, EU AI Act Annex IV). Works immediately, no signup: the local server runs in sandbox…
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