AIAny
AI Agent2025
Icon for item

AGENTS.md

Defines a predictable repository-level instruction file for coding agents, giving teams one place to document workflow rules instead of each tool inventing its own context format.

Introduction

Coding agents are only as useful as the project context they can reliably find. AGENTS.md makes instructions visible, versioned, and shared in the same way README files made human onboarding predictable.

What Sets It Apart

The format is deliberately small: build commands, testing expectations, architecture notes, and contribution rules can live in a file that many agents discover without custom integration. Its restraint is the point; it is a convention layer, not a policy engine.

Who Should Use It

Great fit if a repository is touched by several AI coding tools or has conventions agents often miss. Look elsewhere for enforceable access control, sandboxing, or task orchestration.

Information

  • Websitegithub.com
  • OrganizationsAgentic AI Foundation
  • Authorsagentsmd (repository owner), romainhuet
  • Published date2025/08/19

Categories

More Items

GitHub
AI Agent2025

Autonomous Red Team agent that plans and executes realistic attack chains (reconnaissance, exploitation, pivoting, C2) while producing Rules of Engagement and an OPPLAN and running actions inside a hardened sandbox; intended for authorized red-team engagements and defensive verification.

GitHub
AI Agent2026

Provides modular, AI-optimized SKILL.md instructions that ground LLMs in Android development workflows and can be installed into agent environments via the Android CLI; focuses on tasks where LLMs underperform.

GitHub
AI Agent2026

Build native desktop apps authored with declarative .native markup and TypeScript (or Zig) compiled to native code, with no browser or JS runtime in the binary. Ships a component catalog, deterministic rendering, hot reload, and an embedded automation server for AI agent workflows.