A template to guide AI agent behavior, improving response structure and reducing token waste.
AGENTS.md is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo clone CarlosEGuerraSilva/AGENTS.mdOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
AGENTS.md is a template file you add to your project to tell AI coding assistants how to behave. It sets rules like limiting tasks, avoiding emojis, and requiring approval before making changes. This helps the AI give better, more focused help and saves tokens.
AGENTS.md is a template designed to improve the interaction between human developers and AI coding agents. It addresses common issues such as verbose responses, excessive MCP calls, misunderstandings of project context, and wasteful token usage. The template provides guidelines for limiting the number of tasks and test/build attempts to avoid context overload and credit burn loops. It includes a 'DO NOTs' section that forbids behaviors like modifying README.md, creating unnecessary files, or using emojis. It also defines an approval workflow for tasks, ensuring the user understands and approves the plan before execution. General and code guidelines promote quality, consistency, and maintainability, avoiding over-engineering and anti-patterns. The template recommends using Conventional Commits and tabs for indentation to save tokens. It is intended for human-maintained projects that use AI as a complementary tool, not for fully vibe-coded projects. The template is customizable and suggests adding an ARCH.md file for architecture context.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 253 days ago.
13 GitHub stars indicate community interest.
0 open issues signal maintenance load.
MIT license detected.
Add to a new project to set clear rules for AI coding assistants from the start.
Use in an existing project to reduce token waste and improve AI response quality.
Standardize AI behavior across a team by sharing the same AGENTS.md file.
Prevent AI from making unauthorized changes to critical files like README.md.
Reduce credit burn by limiting the number of test/build attempts the AI can make.
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository.
Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
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A drop-in AGENTS.md file that makes coding agents behave like senior engineers, eliminating sycophancy and forcing verification.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
A template to guide AI agent behavior, improving response structure and reducing token waste.
Developers who use AI coding assistants like Claude Code or Cursor., Tech leads who want to enforce consistent AI behavior across their team., Solo developers who want to get more efficient help from AI agents.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Agent instruction templates should be reviewed before use because they can change coding-agent behavior across an entire repository. Avoid copying rules that grant broad filesystem, shell, network, or secret access without adapting them to your project.
Similar or complementary options to evaluate include agents-md, agentsync, agentseed.
Jun 7, 2026
2 security/trust notes recorded.
Setup difficulty is 1/5.