AGENTS.md (agents-md)

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Full detail: Where this data comes from

AGENTS.md is an open standard file format that provides context and instructions to AI coding agents working on software projects. Like a README for agents, an AGENTS.md file lives in the project repository and tells AI agents how to build, test, and contribute code — including coding standards, build commands, testing procedures, and development conventions. Supported by over 60,000 open-source projects and major platforms including OpenAI Codex, Google Jules, Cursor, Devin, Windsurf, GitHub Copilot, and goose. Stewarded by the Agentic AI Foundation under the Linux Foundation.

URL: https://agents.md/

Run: Capabilities Using Naftiko

Timestamps

Created: 2025-01-01
Modified: 2026-04-19

APIs

AGENTS.md Specification

The AGENTS.md specification defines a standard Markdown file format for providing project context, build instructions, coding standards, and testing procedures to AI coding agents.

Human URL: https://agents.md/

Properties

Common Properties

Features

Name	Description
Project Context for AI Agents	Provides AI agents with structured information about the project including its purpose, architecture, and key concepts.
Build and Test Instructions	Documents the exact commands needed to build, test, lint, and deploy the project so AI agents can execute them correctly.
Coding Standards	Specifies coding conventions, style guides, naming patterns, and best practices that AI agents should follow when generating code.
Monorepo Support	Supports nested AGENTS.md files in monorepo subdirectories, allowing different projects to have tailored agent instructions with closest-file-wins precedence.
Open Standard with No Required Fields	The format uses standard Markdown with no mandatory fields, giving teams flexibility to include only the context their agents need.
Broad Tool Support	Supported by 60+ AI coding tools and editors including OpenAI Codex, Google Jules, Cursor, Devin, GitHub Copilot, Windsurf, and goose.

Use Cases

Name	Description
AI-Assisted Code Review	Provide AI coding agents with project conventions and standards so their generated code passes review without needing manual style corrections.
Autonomous Feature Development	Enable AI agents to independently implement features by giving them the context needed to set up the development environment, run tests, and validate their work.
Onboarding AI Agents to Existing Projects	Accelerate AI agent productivity on legacy codebases by documenting the context that would normally come from exploring the project.
Consistent Multi-Agent Workflows	Ensure all AI agents working on a project operate from the same context, reducing inconsistencies when multiple agents collaborate.
Security-Aware AI Development	Document security considerations and sensitive file locations so AI agents avoid introducing vulnerabilities or accidentally exposing credentials.

Integrations

Name	Description
OpenAI Codex	Native AGENTS.md support for AI coding tasks via OpenAI's coding agent.
Google Jules	AGENTS.md context ingestion in Google's AI coding agent for autonomous development tasks.
Cursor	AGENTS.md file discovery and context loading in Cursor's AI-assisted editor.
Devin (Cognition)	AGENTS.md support in Cognition's autonomous coding agent Devin.
GitHub Copilot	AGENTS.md integration in GitHub Copilot for project-aware AI code suggestions.
goose (AAIF)	AGENTS.md context loading in Block's open-source goose AI agent, now under the Agentic AI Foundation.
Windsurf	AGENTS.md support in Windsurf's AI-powered development environment.
JetBrains Junie	AGENTS.md discovery in JetBrains' AI coding assistant Junie.

Artifacts

Machine-readable API specifications organized by format.

Vocabulary

AGENTS.md Vocabulary — Unified taxonomy mapping 4 resources, 5 actions, 2 workflows, and 2 personas across the AGENTS.md standard and AI coding tool ecosystem

Maintainers

FN: Kin Lane

Email: [email protected]

View source

AGENTS.md File