AI governance framework built on three architectural principles: Commander's Intent, Observable Autonomy, and Convergence Is Silence. Defines Autonomous Reasoning Fidelity (ARF) as the target property.

Binary release distribution for evo - autonomous software evolution engine. Installable packages for Python 3.11+.

Persistent memory scaffolding for AI agents - Trail, Destination, Improve, Retrospect, Intent, Probe. Self-built across 221 iterations; declared complete only when GPT, Claude, and Gemini independently found nothing left to change.

Specification for governance-first context memory in autonomous AI agent systems. Defines the Mandate Gate: a pre-work mandate must exist before an agent session is valid.

Transparent MITM proxy that intercepts LLM traffic and writes a tamper-evident, hash-chained audit ledger before releasing the response.

Real work, fully auditable, in one file: a standalone, target-agnostic improvement-reasoning skill for LLM agents - examines and improves anything the model can reason about (code, documents, plans, letters) while recording every reasoning step in an auditable trail. Single markdown file, no installer, built on the Principles of Earned Autonomy.