Framework-agnostic runtime for evidence-bound AI agents: provenance, executable policy, deterministic verification, blast-radius analysis and fail-closed selective recovery.
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Updated
Aug 31, 2026 - Python
Framework-agnostic runtime for evidence-bound AI agents: provenance, executable policy, deterministic verification, blast-radius analysis and fail-closed selective recovery.
Canonical GitHub organization profile and community health defaults for EvidenceBound.
Reversible autonomy for professional AI agents: compute minimal policy-valid human authority and propagate later correction through reversible descendants without erasing unrelated safe work.
Trust-aware recovery for autonomous agent fleets: detect trust breaks, compute dependency blast radius, reuse verified work, and selectively recompute affected branches on Google Cloud.
Differential reverification for document workflows: re-ground changed evidence and preserve prior human authority only under the review frozen equivalence policy.
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