Deterministic repo runtime and trust layer for humans and AI agents to understand, govern, and safely change real repositories.
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Updated
Apr 6, 2026 - TypeScript
Deterministic repo runtime and trust layer for humans and AI agents to understand, govern, and safely change real repositories.
Local-first repo maps for coding agents—ranked files, test routes, risks, CLI/MCP/GitHub Action, and public GitHub URLs.
Persistent repository intelligence for AI coding tools.
Local-first Mac AI work switchboard for Headroom, RTK, Codex, Claude Code, MarkItDown, Ponytail, and Repo Intelligence
Local-first repo intelligence for AI coding agents
Architecture memory layer for MQ-stack truth exports, repo reviews, decisions, learning records, and operational knowledge.
AI-powered Repository Intelligence and Visualization Platform.
Thin GitHub Action orchestration layer for the ABVX tools stack. Owns the repo-config registry, runs agentsgen and ID with workflow presets and capability profiles, provides review-first planning mode, manifest-driven execution, and predictable AI-docs outputs
Terminal-native AI agent orchestrator with safety gates, repo intelligence, and controlled execution workflows.
Lokales Repo-Intelligence-Tool, das externe GitHub-Projekte im Kontext deines eigenen Produkts bewertet, strukturiert vergleicht und daraus klare nächste Schritte ableitet.
Repo intelligence platform that indexes code into symbols, graphs, tests, and searchable context for humans and AI agents.
Add a description, image, and links to the repo-intelligence topic page so that developers can more easily learn about it.
To associate your repository with the repo-intelligence topic, visit your repo's landing page and select "manage topics."