Cross-model audit gate with autonomous quality loop — AST hybrid scanning, fitness gate, blast radius, structured orchestration. 19 MCP tools, 743 tests. CLI + Claude Code plugin.
-
Updated
Apr 15, 2026 - JavaScript
Cross-model audit gate with autonomous quality loop — AST hybrid scanning, fitness gate, blast radius, structured orchestration. 19 MCP tools, 743 tests. CLI + Claude Code plugin.
Cross-model orchestration for Claude Code — Claude builds, Codex validates. Blind TDD, adversarial stress testing, mixed-model teams, and automatic fallback. Two AI models enter, better code leaves.
The Constitutional AI Operating System. One memory, one skill library, one agent registry, shared across Claude, Codex, Gemini, Cursor and Antigravity. Self-evolving, self-maintaining, self-explaining.
Runnable SAIHM demo: one client-side-encrypted memory shared across Claude and DeepSeek, with provable cryptographic erasure. Runs offline (zero signup) or live against the hosted SAIHM endpoint.
Pairs Claude with OpenAI Codex so the model that writes your code never reviews it. Planning, building, code review and debugging, each cross-checked by a second model family.
Add a description, image, and links to the cross-model topic page so that developers can more easily learn about it.
To associate your repository with the cross-model topic, visit your repo's landing page and select "manage topics."