Breakpoints for Swift Testing - precise control over side effects and fully observable state transitions in asynchronous functions
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Updated
Nov 16, 2025 - Swift
Breakpoints for Swift Testing - precise control over side effects and fully observable state transitions in asynchronous functions
Execution control layer for AI agents — prevents duplicate or incorrect real-world actions under retries, uncertainty, and stale context.
The open protocol for persistent and verifiable governance of autonomous AI agents. Four-layer substrate: Persistent Context, Dynamic Governance, Deterministic Admissibility, Auditable Ledger. 0.07ms enforcement. Zero LLM inference.
Radium corpus — Execution Governance for Complex Automated Systems
Vienna OS — The execution control layer for autonomous AI systems. Cryptographic warrants, risk tiering, policy enforcement, and immutable audit trails.
how to use the rule-flow to orchestrate DRL rules
Sample project showcasing capabilities of the Probing package
Legacy deterministic Event-driven trading decision engine for shared Backtesting and Live semantics.
An augmentation of the sval JS-in-JS interpreter designed to monitor functions as they execute
Simple modifications to Coffeescript source to enable pausing of a program, and resuming based on simple conditions e.g. time period
Deterministic, tick bound runtime integrity verification that blocks execution under drift or tamper before any sensitive operation.
Provable execution membrane for high-stakes AI actions, with offline-verifiable governance bundles.
Execution control for AI-driven payments
PowerShell research tool showing EXE execution control bypasses in legacy Windows systems (up to Windows 10) for authorized testing.
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.
AI Decision Validator (AI Execution Firewall) Validates AI-generated decisions before execution using deterministic tests, fail-closed validation, and cryptographic audit.
Process Injector Utility - Advanced Task Handler
Fail-closed enforcement layer that converts deterministic ACCEPT/REJECT decisions into guaranteed execution control with a public verification URL.
Deterministic execution-control protocol for AI-orchestrated systems. Prevents execution of computational operations unless cryptographically authorized via state-transition artifacts. Specification-only repository.
Official Python SDK for MachineID - simple device registration and validation for AI agents.
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