← AGENTS.md Generator

AGENTS.md Generator vs the Alternatives: What Actually Fits Your Repo

Reviewed by the OnlineFree.app team · Updated

Key points

  • AGENTS.md Generator turns a project name, tech stack and rule list into a compact, vendor-neutral AGENTS.md in one browser screen.
  • It infers a build, dev and test command block from your stack string, so check it against your real scripts.
  • Rules are deduped and parenthetical explanations trimmed to keep the file near 120 lines.
  • No signup and no telemetry: the markdown is assembled in the browser and copied or downloaded directly.
  • AGENTS.md works across agents, while CLAUDE.md and .cursorrules tie instructions to a single vendor.

What does AGENTS.md Generator do?

AGENTS.md Generator is a browser-based tool that turns three plain answers — project name, tech stack and project rules — into a compact AGENTS.md file, the instruction sheet coding agents read before they touch your repo. There is no signup and no telemetry; the markdown is assembled locally in the page.

The output has a fixed, frontmatter-free shape: an H1 with your project name, a one-line overview, a Stack section, a Commands section inferred from the stack string you typed, and a Rules section. It is written to stay short by design, targeting roughly 120 lines so it does not bloat an agent's context window.

When it looks right, copy it to the clipboard or download it as a text/markdown file whose name comes from the project name: acme-dashboard becomes acme-dashboard.md, and an empty field falls back to AGENTS.md.

Where it beats copy-pasting a template

Most AGENTS.md starters you find in gists and blog posts are generic. The command block in this tool is derived from the stack string, so typing "Next.js 15, TypeScript, Tailwind, Vitest, pnpm" gives you pnpm-style dev, build and test lines instead of the npm defaults a template would leave you editing.

The rules box takes one rule per line and normalizes them into a tight bullet list, dropping duplicates. Anything in (parentheses) or after a # is treated as an explanation and trimmed, which is handy when you want to remind yourself why a rule exists without paying for that line on every agent turn.

The honest limitation: it never reads your repository. Unlike an agent-side setup command that scans your files, this generator knows only what you typed, so the Commands section is a well-shaped starting point that you still need to confirm.

How is it different from CLAUDE.md or .cursorrules?

Those files are vendor-specific. AGENTS.md is the cross-tool convention, so one file can serve several agents instead of you maintaining a separate CLAUDE.md, .cursorrules and Copilot instructions file that drift apart. If you use more than one agent in a week, that consolidation is the whole argument.

Claude Code also ships an /init command that inspects an existing repository and drafts a memory file from what it finds — see Anthropic's Claude Code documentation. That approach is stronger when the repo already has structure worth discovering; a three-field generator is faster when you are starting clean or want a neutral file.

A practical pattern: keep AGENTS.md as the source of truth, then leave a two-line CLAUDE.md or .cursorrules that points at it. The format itself is documented at agents.md, which is worth a skim before you invent your own conventions.

Why a short instruction file saves real tokens

Agents typically load the instruction file on every turn, not once per session. A 300-line file is therefore paid for repeatedly, and long files also dilute the rules you actually care about, because the important constraints get buried.

If you want to see the cost of a bloated file in money rather than hand-waving, paste your draft into the LLM Token Cost Calculator and compare a 60-line version with a 250-line version over a realistic number of turns. The gap is usually the moment teams start trimming.

That is why the generator strips parenthetical asides and duplicate rules rather than preserving everything verbatim. Write "Use pnpm, not npm" as one line; add "(team decision from 2024)" only if you accept that it will be removed from the output.

Common mistakes to avoid

The most common one is a lazy stack string. "JavaScript" produces vague commands; "Vite, React 19, TypeScript, Playwright, npm" produces commands you can actually run. The stack field is free text, so be as specific as your package.json.

The second is rules that are not actionable. "Write clean code" and "follow best practices" consume tokens without changing behaviour. "Never edit files in /generated" and "Run tests before committing" give an agent something it can check itself against.

Third, always compare the generated Commands block with your real scripts before you commit the file. The generator infers from your stack string; it does not know that your test script is called test:unit or that you use a Makefile. A wrong command in AGENTS.md is worse than no command at all.

Generate your first AGENTS.md in two minutes

Open AGENTS.md Generator, type the project name, paste your stack, then write one rule per line in the third field — a dozen lines is plenty for most repos. Generate, skim the output, and fix anything that contradicts your actual setup.

Download the file, save it as AGENTS.md at the repository root, and commit it with your next change so the whole team gets it. Re-run the generator whenever you switch package managers, test runners or framework majors; a stale command block teaches your agent the wrong habits.

If you want other small browser tools that skip signup the same way, they are listed at OnlineFree.app free online tools. Nothing generates in the cloud, so you can try several rule sets in a row and keep the one that reads tightest.

Frequently asked questions

Is AGENTS.md Generator free, and does it store my project rules?

Yes — AGENTS.md Generator is free and needs no account. The three fields you type are processed in your browser to build the markdown text, and the tool carries no telemetry, so your rules are not sent to a server for storage. Because nothing is saved, copy or download the file before you close the tab.

How is AGENTS.md Generator different from Claude Code's /init command?

Claude Code's /init command inspects an existing repository and drafts a memory file from what it finds, while AGENTS.md Generator works from three answers you type and produces a vendor-neutral AGENTS.md. The generator is faster for a new repo or a clean start, but it cannot detect your real scripts, so verify the Commands block by hand.

How long should an AGENTS.md file be?

Short enough to stay cheap on every agent turn — AGENTS.md Generator targets under roughly 120 lines. Every line is loaded into context repeatedly, so bloated files cost tokens on each request and dilute the instructions the agent follows. If your rules need more than the 4000-character box, split rarely used detail into separate docs.

Can I use the generated file with Cursor, Copilot or other agents?

Yes. AGENTS.md is a cross-vendor convention, so the file can act as a shared source of truth for agents that read it, including several CLI and IDE tools as of 2026. Some products still prefer their own file, such as CLAUDE.md or .cursorrules, so check each tool's documentation and keep those vendor files thin.

What if the generated commands don't match my project?

Then edit them. AGENTS.md Generator infers a build, dev and test block from the stack string you type; it never reads your repository, package.json or Makefile. Compare the generated commands with your real scripts before committing, and regenerate whenever you change package managers, test runners or framework versions so the file stays accurate.

References

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