Shared workspace for AI agents and human developers. See, audit, and review every change AI makes to your codebase. Multi-language graph (Python/TypeScript), MCP-native, local-first.
Runtime validation for Python modules. Enforce compliant environments, prevent unsafe imports.
Point your coding agent at your repo: a 5-question AI-code-governance self-audit. By Black Box Research Labs.
Local-first engineering memory for AI coding: a git-native graph of decisions, bugs, and invariants, exposed to Claude Code via MCP.
Point your coding agent at your repo: an air-gapped sweep that finds your kill zone — files at high complexity × high churn × security. By Black Box Research Labs.
Make AI coding agents produce Rust that is verifiable, secure by default, and repeatable. 8 rules, 9 skills, 20 katas, 7 verification gates.
Catch AI code mistakes before they ship — 50+ checks for hallucinated APIs, stub functions, hardcoded secrets, and SQL injection. SARIF output for GitHub Code Scanning.
Deterministic pre-modification governance layer for Python code changes — semantic similarity, behavioral analysis, and multi-signal fusion producing SAFE, REVIEW, or BLOCK decisions before repository modification is attempted.
Add a description, image, and links to the code-governance topic page so that developers can more easily learn about it.
To associate your repository with the code-governance topic, visit your repo's landing page and select "manage topics."