Semantic trust layer for evidence-gated verification of AI-generated workflows before lowering or execution.
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Updated
May 25, 2026 - Python
Semantic trust layer for evidence-gated verification of AI-generated workflows before lowering or execution.
Evidence-bound workflow diagnostics and certified lower-bound reporting for long-running AI agent pipelines. Improve agent workflow throughput without changing the model.
Observable-only workflow memory for long-running agents: promotes raw short-term traces into verified, receipt-bound workflow memory without relying on hidden meta-evaluators.
AI agent output checker and workflow verification toolkit for turning agent text, pull requests, external inputs, and messages into auditable JSON reports with evidence routing, residual ledgers, provenance, and safe reuse checks.
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