Sylva ๐ŸŒฒ

Auto-generate comprehensive AGENTS.md for your repository using Ax-LLM.

Sylva recursively reads your codebase โ€” folder structures, code conventions, state management patterns, architecture styles โ€” and distills it into a standardized AGENTS.md manifest that AI coding assistants (and human engineers) can follow perfectly.

Why Sylva?

Modern AI coding tools (Cursor, Claude Code, Copilot, Antigravity) perform dramatically better when given explicit project context. Sylva automates the creation of that context by:

  1. Serializing your entire source tree into a structured format
  2. Analyzing it with a Reasoning Language Model (RLM) agent
  3. Compiling the analysis into a standardized 17-section AGENTS.md

Quick Start

# Run instantly on any local repository
npx @thelogicatelier/sylva --local-repository /path/to/your/project -m openai/gpt-4o -i 5

# Or analyze a GitHub repository directly
npx @thelogicatelier/sylva --github-repository https://github.com/expressjs/express

What You'll Find Here

Section Description
Getting Started Installation, configuration, and your first run
Core Concepts How the pipeline works under the hood
Models & Providers Supported LLMs and how to choose the right one
CLI Reference Every flag, environment variable, and exit code
Output Format What AGENTS.md contains and how to customize it
Advanced Usage Monorepos, CI/CD, and troubleshooting
Architecture Internal code architecture for contributors
Contributing Development setup, code quality, and PR guidelines

Built by The Logic Atelier

results matching ""

    No results matching ""