agentsmith simplifies the process of generating an AGENTS.md file from an existing codebase, eliminating the need for manual entry. By automatically scanning the project, agentsmith creates a comprehensive context file that AI coding tools can utilize immediately, streamlining integration and improving accuracy in code suggestions and implementations.

What is AGENTS.md?

AGENTS.md serves as an open standard that helps AI coding assistants understand the context and structure of a project. This standard is utilized by over 60,000 projects and is compatible with tools such as:

• Cursor
• GitHub Copilot
• Claude Code
• VS Code
• Gemini CLI

AI tools can automatically locate and interpret AGENTS.md files without any configuration, enhancing their effectiveness.

Key Features of agentsmith

Rather than crafting AGENTS.md files manually, agentsmith efficiently scans the codebase and generates the necessary documentation. Here’s a quick overview of what agentsmith can detect and document:

npx @jpoindexter/agent-smith

  agentsmith

  Scanning /Users/you/my-project...

  ✓ Found 279 components
  ✓ Found 5 components with CVA variants
  ✓ Found 37 color tokens
  ✓ Found 14 custom hooks
  ✓ Found 46 API routes
  ✓ Found 87 environment variables
  ✓ Detected Next.js (App Router)
  ✓ Detected shadcn/ui (26 Radix packages)
  ✓ Scanned 1572 files (11.0 MB, 365,599 lines)

  ✓ Generated AGENTS.md
    ~11K tokens (9% of 128K context)

Flexible Usage Options

agentsmith provides various modes for output customization to suit different needs:

# Default - comprehensive output (~11K tokens)
agentsmith

# Compact - fewer details (~20% smaller)
agentsmith --compact

Additionally, features such as the ability to preview output without writing (--dry-run), customizing the output file name, and more, allow for flexible configurations.

Advantages of Using agentsmith

• Reduce Manual Effort: Automated generation of AGENTS.md saves time and reduces potential errors compared to manual documentation.
• Enhanced AI Interaction: By providing necessary context, AI tools can suggest more relevant code snippets and function usages, adhering to project conventions.
• Wide Compatibility: Designed to work seamlessly with a variety of frameworks, agentsmith proves beneficial for projects built with technologies like Next.js, Tailwind, and TypeScript.

For developers seeking to optimize their code integration with AI tools, agentsmith stands as a crucial asset that generates rich contextual documentation needed to foster intelligent interactions between AI systems and codebases, ensuring optimal usage of existing components and design tokens.