Fail-closed execution firewall for AI agents: quarantine MCP tools, proxy OpenAI-compatible requests, emit signed receipts, and verify EvidencePacks offline.
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Updated
Oct 13, 2026 - Go
Fail-closed execution firewall for AI agents: quarantine MCP tools, proxy OpenAI-compatible requests, emit signed receipts, and verify EvidencePacks offline.
Deterministic pre-execution gate for AI agents (fail-closed, YAML policy)
Execution boundary for autonomous systems. Deterministic runtime enforcement of executable constraints before state-changing actions occur.
Workspace runtime and execution boundary for AI agents
Deterministic execution boundary for AI agents. IFC enforcement at the sink. 5 frameworks. 50 attack vectors. Apache 2.0.
Deterministic three-state stop controller. Constraint-first design. Fail-closed.
Core execution boundary engine (decision + proof + ledger)
Source-visible bounded proof/witness stack for execution integrity, replay-legitimacy separation, and consequence-bearing runtime governance.
Admissibility Rotation Corridor — closed constitutional runtime with visible interrupt geometry
Safety decision system with scoped confirmation channel. Scoped bindings, compare-and-swap, execution boundary, Python.
Observability profile for Execution Boundary systems — OTel collector topology, semantic conventions, dashboards, alerts
Execution boundary for GitHub pull requests that interprets repository mutations before CI enforcement.
Transport-layer application profile for Execution Boundary Core Spec.
AI Execution Boundary Standard (AEBS) - Pre-incident reference for execution governance
Small, deterministic control primitives for software systems. Testable, auditable bricks.
Execution-boundary gate interface. Contamination cases. Adversarial suite. Admissibility at execution time.
Minimal proof of execution-bound admissibility: no present-state proof at bind, no execution.
Experimental downstream execution boundary for deterministic authorization and controlled actuation from untrusted or nondeterministic producers.
Entry point and architectural map for execution boundary research.
Public-safe PoC for admissibility-first execution governance in probabilistic and multi-agent AI systems.
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