Python tool for detecting and reporting cross-repository code duplication with file, author, commit-date, and aggregate provenance statistics.
-
Updated
Jul 9, 2026 - Python
Python tool for detecting and reporting cross-repository code duplication with file, author, commit-date, and aggregate provenance statistics.
Git-native AI code provenance: records which AI agent wrote which line, signs each attribution with ed25519, stores it in your git history. Cross-agent (Claude Code, Cursor, Copilot, Codex, Windsurf, OpenCode, Gemini).
AI coding agents should work in attempts, not your working tree
Local-first AI code provenance: line-level attribution, PR risk reports, policy checks, and tamper-evident audit trails for AI-assisted software.
CodeGenLink is a Visual Studio Code extension that interacts with GitHub Copilot Chat to generate code, analyze its origin, and identify the associated license.
Local-first AI coding provenance — turn commits, AI sessions & decision breadcrumbs into verifiable, click-to-check answers to "why was this code written?" Zero-LLM core; MCP / CLI / VS Code.
See where your AI code takes root — and how it grows over time.
Crocking — AI authorship detector for git repositories. Analyzes commit history for statistical signatures of undisclosed AI-generated code. Zero dependencies.
AI PR Gate for Claude Code + Codex: one model implements, a different model reviews the exact diff, and a signed, tamper-evident evidence trail opens as a real GitHub PR for a human to merge — plus live cross-model token/quota awareness.
The intent layer for Git — link AI agent conversations to the commits they produced, then query why any line of code was written.
Add a description, image, and links to the code-provenance topic page so that developers can more easily learn about it.
To associate your repository with the code-provenance topic, visit your repo's landing page and select "manage topics."