Machine-readable protocol for immutable, causally linked decision records with validator-backed integrity.

DeepSigma turns AI decisions into auditable, recoverable infrastructure. It seals each decision episode end-to-end (inputs, actions, outcomes), detects drift, enforces governance gates, and drives patch loops with measurable confidence. Built in Python with MCP, LangChain, and OpenTelemetry.

Three local-first demos that reconstruct operational trust from existing logs, receipts, and records. These are narrow reproducible slices of the broader Razorglint proof/governance architecture — designed to demonstrate trust continuity reconstruction, decision provenance tracing, and compliance drift detection under degraded environments.