# AGENTS.md vs StackRef

AGENTS.md records 245,457 monthly visits with +5.7% month-over-month growth and Free pricing. StackRef records 765 monthly visits with +184.4% growth and Contact for Pricing pricing.

| Metric | [AGENTS.md](https://openaitools.app/tool/agents-md) | [StackRef](https://openaitools.app/tool/stackref) |
| :--- | :--- | :--- |
| Website URL | https://agents.md | https://stackref.com |
| Categories | AI Agent, AI Code Assistant, AI Developer Tools | Other |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 245,457 | 765 |
| MoM Growth Rate | +5.7% | +184.4% |
| Primary Market | United States | Indonesia |
| Direct Visits | 156,868 | 305 |
| Review Score | 4.7 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## AGENTS.md

AGENTS.md solves a very concrete problem: AI coding agents need operational context — how to install dependencies, run the dev server, execute tests, and respect project conventions — but stuffing all of that into a README makes the README worse for human contributors. AGENTS.md gives that guidance its own dedicated file, written in plain Markdown with no required schema, so agents find it reliably while READMEs stay short and human-friendly.

Because it is just Markdown, there is nothing to install and no proprietary tooling to adopt. You add an AGENTS.md at the repository root, list the sections that matter for your project, and agents that support the convention read it automatically. In large monorepos you can place additional AGENTS.md files inside subpackages; agents read the nearest file in the directory tree, so the closest one wins and each package can ship tailored instructions.

The format emerged from collaboration across the AI developer ecosystem — including OpenAI Codex, Amp, Google's Jules, Cursor and Factory — and is now stewarded by the Agentic AI Foundation under the Linux Foundation. It is used by over 60,000 open-source projects and supported by a long list of agents including Codex, Jules, Aider, goose, opencode, Zed, Warp, VS Code, Devin, Amp, Cursor, RooCode, Gemini CLI, Kilo Code and GitHub Copilot.

**Pricing & Plans:** AGENTS.md is completely free and open. There is no paid tier, no account and no commercial product attached to the format.

- **Plain Markdown, no schema:** There are no required fields or special syntax. Use any headings you like and the agent parses the text you provide.
- **Cross-agent compatibility:** One AGENTS.md works across dozens of coding agents such as Codex, Cursor, Jules, Aider, Gemini CLI, Zed and Copilot.
- **Nested files for monorepos:** Drop extra AGENTS.md files into subpackages; agents read the nearest file in the directory tree, so local instructions take precedence.
- **Separation from README:** Keeps human-facing READMEs concise while giving agents the build, test and convention details they actually need.
- **Community-governed open format:** Stewarded by the Agentic AI Foundation under the Linux Foundation, with no vendor lock-in.

**Strengths:** Zero setup: it is just a Markdown file, no SDK or account needed; Works consistently across a large and growing set of coding agents; Nested support makes it practical for large monorepos; Governed by a neutral foundation, so no single vendor controls it

**Limitations:** Agents vary in how fully they honor the instructions they read; Without discipline it can drift out of date like any documentation; No formal schema means structure differs substantially between projects

[Profile (Markdown)](https://openaitools.app/tool/agents-md.md)

## StackRef

StackRef is an independent consulting practice run by Keith McDuffee, a CISSP-certified cloud architect with more than 20 years across infrastructure, DevOps, and security, currently also a Senior Director of DevOps and Application Security. The consulting side provides hands-on help designing, securing, and optimizing cloud environments on AWS, GCP, and Azure, with an emphasis on being precise and clear about requirements rather than over-charging or over-complicating.

Alongside consulting, StackRef offers its own designed, self-hosted, end-to-end internal hackathon manager. This product supports the hackathon lifecycle with features such as sandbox environments, AI-assisted scoring, and team collaboration, making it useful for organizations that want to run internal innovation events on their own infrastructure rather than a third-party SaaS.

Client reviews highlight fast response, deep end-to-end infrastructure knowledge, and a willingness to dig into problems and propose multiple solutions. Being based near Boston and working remotely with clients worldwide, StackRef fits teams that want a senior, accountable expert plus a purpose-built internal hackathon tool. Pricing is arranged through a free intro call or direct email.

**Pricing & Plans:** StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

- **Cloud architecture consulting:** Hands-on architecture, security, and cost optimization across AWS, GCP, and Azure, led by a CISSP-certified architect with 20+ years of experience.
- **Security and compliance:** Focused engagements on hardening cloud environments and supporting compliance, with an emphasis on robust, well-governed infrastructure.
- **Cost optimization:** Practical work to reduce cloud spend and right-size infrastructure without sacrificing reliability.
- **Internal hackathon platform:** A self-designed, self-hosted, end-to-end internal hackathon manager covering sandbox environments and AI scoring to run innovation events.
- **Direct expert access:** Booking a free 30-minute call and working directly with the principal architect instead of going through a queue.

**Strengths:** Direct access to a CISSP-certified architect with 20+ years of experience; Cross-cloud expertise spanning AWS, GCP, and Azure; Consulting paired with a self-hosted hackathon platform; Free 30-minute intro call before committing

**Limitations:** Consulting capacity is tied to one principal architect, which can limit parallel engagements; Hackathon software and consulting are distinct offerings that may suit different buyers; No published fixed pricing, so budgeting requires a conversation; The platform is niche, focused on cloud architecture and internal hackathons rather than broad team tooling

[Profile (Markdown)](https://openaitools.app/tool/stackref.md)

## Frequently Asked Questions

### How do AGENTS.md and StackRef compare in monthly traffic?

AGENTS.md has 245,457 monthly visits, while StackRef has 765. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AGENTS.md has a month-over-month growth rate of +5.7%; StackRef has +184.4%.

### How does pricing compare?

AGENTS.md: Free. AGENTS.md is completely free and open. There is no paid tier, no account and no commercial product attached to the format. StackRef: Contact for Pricing. StackRef does not publish fixed prices. Its model is contact for pricing: you book a free 30-minute intro call or email directly to discuss consulting scope or the self-hosted hackathon platform and receive a quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor that natively reads project rules and markdown instructions to guide its coding agent. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides an agentic development platform for parallel coding agents, but requires platform tooling rather than standard markdown files. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | An extensible code editor supporting various AI assistant extensions, requiring manual setup rather than a universal agent file format. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Angular](https://openaitools.app/tool/angular-dev) | 735,108 | -7.5% | Free | Google's batteries-included framework for scalable web apps | [.md](https://openaitools.app/tool/angular-dev.md) |
| 5 | [Skillry](https://openaitools.app/tool/skillry) | 535,817 | +1,762.1% | Freemium | Supplies pre-packaged agent skills and instructions, but focuses on modular workflow templates rather than standard repository documentation files. | [.md](https://openaitools.app/tool/skillry.md) |
| 6 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Indexes open-source SKILL.md agent files, offering ready-to-use task definitions rather than a general project instruction file format. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) |
| 7 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Catalogs Model Context Protocol servers for external data integration, whereas AGENTS.md standardizes markdown guidelines for repository coding agents. | [.md](https://openaitools.app/tool/mcp-server.md) |
| 8 | [Cursor Directory](https://openaitools.app/tool/cursor-directory) | 125,466 | +5.3% | Free | Provides a community hub for sharing project rules and configurations for Cursor, compared to AGENTS.md's universal markdown convention. | [.md](https://openaitools.app/tool/cursor-directory.md) |
| 9 | [Agent Skills Hub](https://openaitools.app/tool/agent-skils-hub) | 28,753 | +34.3% | Freemium, Paid, Free | Open-source index for grading agent skills and developer tools, complementing AGENTS.md with discoverable agent capabilities. | [.md](https://openaitools.app/tool/agent-skils-hub.md) |
| 10 | [AI SDK Agents](https://openaitools.app/tool/ai-sdk-agents) | 26,211 | -26.2% | Freemium | Provides full-stack patterns for building AI agents programmatically, unlike AGENTS.md which standardizes static markdown documentation for agents. | [.md](https://openaitools.app/tool/ai-sdk-agents.md) |

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Source: https://openaitools.app/compare/agents-md-vs-stackref

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