Governance standard and reference toolset for LLM-maintained knowledge corpora
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Updated
Sep 11, 2026 - Python
Governance standard and reference toolset for LLM-maintained knowledge corpora
OpenVibeCoding is the command tower for AI engineering: plan, delegate, track, resume, and prove long-running work across Codex and Claude Code.
A neuro-symbolic runtime architecture (DIR) for Responsibility-Oriented Agents (ROA). By decoupling probabilistic LLM reasoning (User Space) from deterministic execution (Kernel Space), it ensures safe, invariant-driven, and auditable AI autonomy.
ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.
VERITAS OS is an AI agent governance runtime for decision control, policy enforcement, approval workflows, audit trails, and replayable evidence before real-world actions.
Proof of Human Intent (PoHI) - Cryptographically verifiable human approval for AI-driven development
Experimental OpenCode-first orchestration plugin inspired by the Tang Dynasty's Three Departments and Six Ministries: draft, review, dispatch, execute, and audit.
Umbrella repo for the ToxMCP Suite (docs, links, quickstart).
Multi-Agents VSCode Extension that Focuses on the Full Control of Context, Observability and Auditability. Works like Wakaba Mutsumi's Personalilties 🥒. 吓我一跳我释放忍术😰若叶睦那么多首啊🥷
The weight-bearer: the anchor point that unifies the good ideas in ethics, and the manifesto/prompt as the counterweight that aims to take it off
A long-form article and practical framework for designing machine learning systems that warn instead of decide. Covers regimes vs decimals, levers over labels, reversible alerts, anti-coercion UI patterns, auditability, and the “Warning Card” template, so ML preserves human agency while staying useful under uncertainty.
Sifaka is an open-source framework that adds reflection and reliability to large language model (LLM) applications.
Operational Ontology public reference: principles, D+L+A, governance, and write-back for stateful AI operations. No production implementation.
Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.
Lean orchestration platform for enterprise AI — where each decision costs hundreds. State machine core, HITL as a first-class state, corrections that accumulate. First use-case being Coding agent. Open research, early stage.
Local-first, auditable memory for AI agents, with governed retrieval, delegated context delivery, and verifiable execution evidence. Works with OpenClaw, MCP, Pydantic AI, and LangChain/LangGraph. No external API required for local memory. Install with pip: pip install atmem
Intentional internet for the classroom. Private by design. Open by conviction.
This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.
Governed AI-assisted software delivery system record covering human authority, read-only audit, evidence-qualified claims, signed releases, and verifiable release-asset provenance.
TMPA — Textual Multi-Agent Process Architecture for durable AI-agent governance, responsibility, conformance, and auditable digital work. Research, specification, and evidence.
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