Python runtime of the Spine Lite kernel. Policy-gated execution + receipts for AI agents. MIT.
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Updated
Sep 22, 2026 - Python
Python runtime of the Spine Lite kernel. Policy-gated execution + receipts for AI agents. MIT.
Fail-closed enforcement layer that converts deterministic ACCEPT/REJECT decisions into guaranteed execution control with a public verification URL.
Radium corpus — Execution Governance for Complex Automated Systems
A neutral execution-control seam for agent tool calls: allow / block / indeterminate, only allow proceeds.
Process Injector Utility - Advanced Task Handler
.NET runtime of the Spine Lite kernel. Policy-gated execution + receipts. Built on Semantic Kernel. MIT.
PFC separates the time authority from the signer so a compromised enforcement point can't silently backdate its own approvals — and makes replay and reordering detectable through monotonic, hash-chained receipts.
A host-native, runtime-free Skill for AI agents to plan, execute, verify, adapt, and stop with evidence and bounded authority.
Vienna OS — The execution control layer for autonomous AI systems. Cryptographic warrants, risk tiering, policy enforcement, and immutable audit trails.
Execution control engine for critical infrastructure. Docker-deployable. Fail-closed by default.
PowerShell research tool showing EXE execution control bypasses in legacy Windows systems (up to Windows 10) for authorized testing.
Official Python SDK for MachineID - simple device registration and validation for AI agents.
Breakpoints for Swift Testing - precise control over side effects and fully observable state transitions in asynchronous functions
AI Decision Validator (AI Execution Firewall) Validates AI-generated decisions before execution using deterministic tests, fail-closed validation, and cryptographic audit.
Ensures execution only occurs from the current committed state.
Process Injector Utility - Advanced Task Handler
Reproducible consequence-boundary benchmark for agentic AI execution — same model proposal, different authority, measured consequence.
Evidence-bound execution control for autonomous product-analytics agents.
Execution control for AI-driven payments
Transaction-grade execution control for high-consequence AI agent actions.
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