First Principles Framework (FPF): Pattern language and core specification for admissible action in problematic engineering, research, and mixed human/AI work.

OpenVibeCoding is the command tower for AI engineering: plan, delegate, track, resume, and prove long-running work across Codex and Claude Code.

Experimental OpenCode-first orchestration plugin inspired by the Tang Dynasty's Three Departments and Six Ministries: draft, review, dispatch, execute, and audit.

Proof of Human Intent (PoHI) - Cryptographically verifiable human approval for AI-driven development

ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.

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🥷

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.

The first open-source implementation blueprint for Intelligent AI Delegation. A deterministic runtime (DIR) and architecture for Responsibility-Oriented Agents (ROA) to bridge the gap between LLM reasoning and safe, auditable production execution.

Sifaka is an open-source framework that adds reflection and reliability to large language model (LLM) applications.

Kita is a grammar for language models that audits words as containers. It asks: who benefits, who pays, which way cost and benefit are flowing, and who decided the words to describe it. And starts at the cost-bearers.

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.

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.

Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.

Intentional internet for the classroom. Private by design. Open by conviction.

Governance layer for human–AI collaboration: evidence boundaries, audit artifacts, and change admissibility.

Determinism: Bit-identical outputs under identical inputs, configuration, and execution environment.

SMALL (Schema, Manifest, Artifact, Lineage, Lifecycle) is a formal execution state protocol that makes AI-assisted work legible, deterministic, and resumable by separating durable state from ephemeral execution.

Methodology defining structured workflow topology and reproducibility guarantees for governed research.

Governance beneath the model. Custody before trust. Open for audit. Constitutional Grammar for Multi-Model AI Federations, Firmware Specification • Zero-Touch Alignment • Public Release v1.0