execution-governance

Governed execution for AI agents, workflows and software.

Radium corpus — Execution Governance for Complex Automated Systems

Autonomous self-improving multi-swarm AI platform with CRDT state, memory, simulation, execution governance, and verified repair loops.

Source-available governed cognitive architecture with an IX language runtime, typed VM, memory, planning, world modeling, uncertainty, learning, evidence-gated proposals, staged execution, human review, audited reentry, closeout ledgers, and exportable receipts. AI proposes. Humans decide. No AGI claims.

Autonomous execution governance for coding agents: run a ticket backlog to completion unattended. ASK/PARK/HALT autonomy contract, durable per-ticket state machine, deterministic test gates, git-backed reversibility, heartbeat watchdog, morning report. Python stdlib only.

Execution-boundary governance infrastructure for consequence-bearing autonomous systems.

Runtime governance infrastructure for evaluating execution legitimacy under evolving operational conditions.

Agent Gate Incident Replay is a browser-runnable blackbox replay runtime for Agent incidents. It restores a real VM state in the browser with [v86](https://github.com/copy/v86), mounts an incident module, and replays the agent's actions against real runtime boundaries and real Agent Gate verdicts.

Deterministic execution-governance infrastructure for consequence-bearing autonomous systems.

Governed cognition and runtime continuity infrastructure for autonomous systems operating under evolving operational conditions.

The Governance API for Developers — one runtime call before consequential AI execution.

Vendor-neutral Governed Contracts for verifiable agent authority, constraints, conformance and consequence.

WCP — Worker Class Protocol specification

Runtime authority validation infrastructure for autonomous and distributed execution systems.

Vendor-neutral standard for execution-time authorization and governed AI-mediated actions.

Governed AI infrastructure for consequence-bearing autonomous systems.

Execution-layer governance for agentic AI: within a modeled action space and registered invariants, unsafe actions are made structurally unreachable — not merely refused. An open architectural hypothesis under public review.

🛡️XAIPT™ — Runtime governance and authority-aware execution research ecosystem exploring HOLD-before-finality, bounded execution, runtime visibility, and human authority before irreversible digital actions.

Open-source pre-execution governance checker for AI-enabled actions based on the Execution Governance six conditions.

🛡️ XAIPT-GUARD™ — Human Authority Before Irreversible Execution. Runtime governance research surface exploring HOLD-before-finality systems, authority-aware execution, operational visibility, AI-era trust runtime architecture, and bounded execution intelligence.