Standard-agnostic compliance checker engine. 8-layer NLP pipeline (TF-IDF, graph analysis, ensemble classification, fuzzy matching) that maps any safety standard to any work product and generates compliance reports. Electron desktop app included.
Autonomous self-improving multi-swarm AI platform with CRDT state, memory, simulation, execution governance, and verified repair loops.
A multi-agent safety engineering framework that subjects systems to adversarial audit. Orchestrates specialized agents (Engineer, Psychologist, Physicist) to find process risks and human factors.
Governed AI abuse detection gateway for prompt-decomposition, policy-bypass, cross-session coordination, and capability-assembly attacks. Detects when low-risk fragments combine into restricted output, preserving evidence for human review.
FRAM (Functional Resonance Analysis Method) OWL2 Ontology - Formal semantic vocabulary for modeling socio-technical systems
Architecture-complete green-hydrogen validation repo: safety-gated bench testing, gas verification, carbon/source accounting, BOMs, assembly walkthroughs, Gankyil-A A/B tests, and evidence receipts.
A structured database of engineering failures with causal factor tagging.
Toy governance CLI demo: deny-by-default “danger actions” gated by signed, expiring capability leases (global revoke-all + nonce revoke) plus guarded memory quarantine. Simulation-only: no real network/shell/files. Includes tripwire + tests to prevent misuse.
운영 자동화 설계·측정 방법론 — 성숙도 프레임워크, 안전장치 우선 설계, 실패 케이스 6건. 실행 가능한 데모는 multichannel-inventory-allocator
Assurance-case and runtime-assurance review toolkit for software and AI-enabled systems.
Auditable trading research and paper-operations controls with a credential-free fail-closed demo.
Not just a chatbot. A sci-fi AI playground with 14 original characters, each with their own identity and lore.
Python GUI/CLI for extracting Hazard codes and Hazard statements from Safety Datasheets (SDSs).
Fault injection toolset for Python
Verification-led Kalshi order planner with dry-run-first controls and MIT-licensed source.
Short practical memos on agent safety failures, safeguards, and evaluation design.
Open standard, reference Python implementation, and machine-checkable conformance suite for substrate-alignment primitives in multi-entity agent systems.
Horizon-Eval: evaluation-integrity framework for portable long-horizon agent benchmarks, with QA gates, trajectory auditing, replayable run bundles, and safety-gap analysis.
MIT-licensed, read-only Kalshi planning preview for API integration, reconciliation, and release governance.
RIA is a autonomous Peer Specialist Agent whose primary domain of expertise is Relational Intelligence, Trauma-Informed Onboarding, and Agency Grounding. [try Team 11 of BGI HyperSprint - OmegaClaw, Track 2]
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