human-oversight

Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.

EU AI Act compliance middleware for AI agents. Make any LLM-powered agent legally deployable in Europe with 3 lines of code.

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.

Enterprise reference architecture for governed Agentic SOC, MSSP, MDR, Cloud IR, and private/local LLM-assisted DFIR operations.

HITL agent workflows in TypeScript: pause for human approval, multi-approver gates, timeouts, audit-friendly stores, Slack/webhook notify.

Hash-bound approval gate for AI agents. Fail-closed, single-use, audited — approve exact states, not intentions. Claude Code hooks included.

Public evidence window for Portotify runtime decision governance across AI, LLM, ML, algorithmic and hybrid decision systems. Frozen replay, governance boundaries and benchmark evidence.

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.

LUMINA-30: non-binding boundary framework for preserving effective human refusal before irreversible AI consequences.

Open-source operational AI governance framework for lifecycle controls, agentic authority, policy enforcement, evidence and assurance.

Governance controls enforced in circuitry, not policy, across five Arduino boards. No actuation without a prior audit entry, no audit entry unwitnessed by a board the host does not control, and a bistable relay in the motor supply that no software can close. 737 tests, 100% coverage, full stack runs in CI with no hardware.

Risk-tiered human oversight for AI hiring agents. Scores every agent action 0-100, routes it across four autonomy tiers, and evidences the human decision in a hash-chained append-only ledger. A four-fifths adverse-impact monitor runs on real recruitment data and auto-escalates flagged requisitions. Mapped to EU AI Act Art. 14/50 and NYC LL144.

Pre-execution safety gate for AI agents. Evaluates proposed actions and returns allow, require_approval, revise_action, or block before execution.

An open, pre-validation research artifact for designing and evaluating human-centered AI workflows while preserving human judgment, provenance, and accountability.

MHIOS v2.1: open human-interface and orchestration companion to Core v13.0 / SGP v8.8. Standard, workbook, schemas and bounded record checks.

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.

A model-neutral pre-action brief for defining access control, decision limits, human oversight, and stop conditions before a system can act. Capture the intended outcome, accountable reviewer, risk boundaries, change control, and review record so technical governance stays clear, inspectable, and easier to maintain.

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.

ALMSIVI CHIM is a recursive ethics framework for uncertainty, power, consent, reversibility, accountability, and Sacred Refusal. v5.3 is a reviewed refresh of private v5.2 and the first GitHub-published edition.

LUMINA-30 incident review hub for evaluating whether effective human refusal authority remained before irreversible external impact from advanced AI systems.