EU AI Act compliance middleware for AI agents. Make any LLM-powered agent legally deployable in Europe with 3 lines of code.
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Updated
Apr 14, 2026 - Python
EU AI Act compliance middleware for AI agents. Make any LLM-powered agent legally deployable in Europe with 3 lines of code.
HITL agent workflows in TypeScript: pause for human approval, multi-approver gates, timeouts, audit-friendly stores, Slack/webhook notify.
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime. Park work items for human review. Resume execution automatically. No timeouts.
Hash-bound approval gate for AI agents. Fail-closed, single-use, audited — approve exact states, not intentions. Claude Code hooks included.
The cognitive discipline your AI-assisted projects need. Framework + Rust CLI to externalize scope, decisions, and risks (Charters, AILOG, AIDEC, ADR) so AI agents stay coherent across many turns. ISO 42001 / EU AI Act / NIST AI RMF evidence as a side effect. EN/ES/zh-CN.
EU AI Act governance prototype that turns real medical AI evidence and ISO/IEC 42001 governance scaffolding into reviewable classification, evidence checks, human oversight, and incident-handling paths.
Safety benchmark testing whether model-emitted uncertainty can ration scarce human review under corrupted evidence. Scores oversight-allocation regret against a hindsight oracle; every headline number regenerates from committed logs with no model calls.
Open documentary assurance method for evaluating whether human authority retained practical force in AI-mediated institutional decisions.
Stable public reference layer for LUMINA-30 citations, DOI links, boundary terminology, and non-binding governance references.
Tier 2 of the CHOF toolkit — embedded human-oversight kernel for autonomous systems. Tactical safety governor (TCAS+AEB pattern) with Ed25519-signed audit logs. Python reference implementation; C++/Rust port for ROS2/PX4/ArduPilot forthcoming.
LUMINA-30: non-binding boundary framework for preserving effective human refusal before irreversible AI consequences.
Reference implementation of AMMP (Agentic Mentor-Mentee Protocol, draft-arturo-ammp-01), Mentoring track, on FastMCP. Multi-mentor + multi-mentee, LLM-synthesised AskMentor with confidence-driven escalation.
Verbatim mirror of APOPHASIS (v1.0) — a non-coercive, non-operational interpretive framework. No code. No derivatives.
Tier 1 of the CHOF toolkit — quantifies human oversight requirement for Autonomous Weapon Systems via the H equation from Mahajan (2024) QUB LLM Dissertation. Companion to chof-kernel.
Pre-execution safety gate for AI agents. Evaluates proposed actions and returns allow, require_approval, revise_action, or block before execution.
LUMINA-30 incident review hub for evaluating whether effective human refusal authority remained before irreversible external impact from advanced AI systems.
Conceptdemonstrator voor governancegedreven AI-modelselectie: eerst vermogen, daarna context, pas daarna model.
Canonical navigation index for LUMINA-30: civilizational boundary, incident review, public references, and AI-readable PDF text layers.
Governed Autonomy: a reference architecture for AI systems that act safely and know their own limits, with measured calibration findings. White paper + reference implementation.
Governance layer architecture for autonomous AI systems, addressing Authority Drift through runtime authority boundaries and Structured Human Deliberation.
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