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wkoverfield/quilt

by Various

Tracks which agent wrote which lines when multiple AI agents share one Git checkout.

W

MCP

wkoverfield/quilt

Added 13 July 2026

#agentic #ai-agents #claude-code #cli #coding-agents #developer-tools #git #llm

Overview

Quilt tracks which AI agent wrote each line of code when multiple agents operate in a shared Git checkout. It uses TypeScript to annotate line-level authorship within a repository.

Best for

Best for
Teams using multiple AI agents that share a single Git repository and need line-level authorship tracking.

Use cases

  • Attributing code changes to specific AI agents in a collaborative project
  • Reviewing contributions from different agents in a shared Git history
  • Debugging agent-specific code conflicts in a multi-agent development workflow

Notes

Quilt tracks which AI agent wrote each line of code when multiple agents operate in a shared Git checkout. It uses TypeScript to annotate line-level authorship within a repository.

2 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

  • Attributing code changes to specific AI agents in a collaborative project
  • Reviewing contributions from different agents in a shared Git history
  • Debugging agent-specific code conflicts in a multi-agent development workflow

Pros

  • Solves a clear attribution problem for multi-agent development
  • Lightweight TypeScript implementation integrates with Git
  • Open source and free to use

Cons

  • Very low community adoption (2 stars on GitHub)
  • Limited documentation and support beyond the repository
  • Niche use case may not be relevant for single-agent or human-only teams

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Solves a clear attribution problem for multi-agent development
  • Lightweight TypeScript implementation integrates with Git
  • Open source and free to use

Cons

  • Very low community adoption (2 stars on GitHub)
  • Limited documentation and support beyond the repository
  • Niche use case may not be relevant for single-agent or human-only teams
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