# AGENTS.md vs Tech Tool Decode AGENTS.md records 245,457 monthly visits with +5.7% month-over-month growth and Free pricing. Tech Tool Decode records 0 monthly visits with 0% growth and Contact for Pricing pricing. | Metric | [AGENTS.md](https://openaitools.app/tool/agents-md) | [Tech Tool Decode](https://openaitools.app/tool/tech-tool-decode) | | :--- | :--- | :--- | | Website URL | https://agents.md | https://www.newagecontentservices.com/tech-tool-decode | | Categories | AI Agent, AI Code Assistant, AI Developer Tools | AI Consulting, AI Reviews, AI Testing | | Pricing Model | Free | Contact for Pricing | | Monthly Visits | 245,457 | 0 | | MoM Growth Rate | +5.7% | 0% | | Primary Market | United States | Global | | Direct Visits | 156,868 | 0 | | Review Score | 4.7 | 3.8 | | Saved Count | 0 | 4 | | 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) ## Tech Tool Decode Tech Tool Decode is a consultancy offering rather than a self-serve software product. It comes from New Age Content Services and combines two related jobs: evaluating AI tools from a practical, hands-on perspective, and building the content and marketing plans that technology businesses need to bring those tools to market. The evaluation side is aimed at answering the question buyers actually ask: does this tool do what it claims, and where does it break down? Reviews and testing are framed around real product use rather than spec sheets, which makes the output useful both for buyers weighing an option and for vendors wanting an honest read on their own product. The strategy side turns that knowledge into execution. Teams can get help shaping content plans, launch messaging and marketing programs for a tech product, startup or small-to-medium business. Because it is a services engagement, pricing is quoted per project rather than listed as a flat subscription. **Pricing & Plans:** Service-based engagements quoted per project. There is no public price list; you contact the provider for a proposal. - **Hands-on AI tool evaluation:** Tools are reviewed and tested in practical use, covering what they do well and where they fall short, rather than repeating vendor marketing claims. - **Content strategy and plans:** Get a structured content plan that maps topics, formats and cadence to what a technology audience actually wants to read. - **Marketing planning for tech products:** Positioning, launch messaging and campaign plans tailored to technology businesses, startups and SMEs. - **Startup and SME focus:** Engagements are scoped for smaller teams without in-house research or content functions. - **Product testing and assessment:** Structured assessment of a tool or product's capabilities, usability and fit for a stated use case. **Strengths:** Combines tool evaluation with downstream content and marketing execution; Reviews are framed around real usage instead of spec sheets; Scoped for startups and SMEs rather than only enterprise clients **Limitations:** It is a services engagement, so there is no instant self-serve trial; No public pricing, so you must request a quote; The provider website currently has a TLS certificate problem that browsers may flag [Profile (Markdown)](https://openaitools.app/tool/tech-tool-decode.md) ## Frequently Asked Questions ### How do AGENTS.md and Tech Tool Decode compare in monthly traffic? AGENTS.md has 245,457 monthly visits, while Tech Tool Decode has 0. 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%; Tech Tool Decode has 0%. ### 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. Tech Tool Decode: Contact for Pricing. Service-based engagements quoted per project. There is no public price list; you contact the provider for a proposal. ## 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 | [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) | | 5 | [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) | | 6 | [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) | | 7 | [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) | | 8 | [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) | | 9 | [AIJourney](https://openaitools.app/tool/aijourney) | 28,109 | +53% | Free | Discover, learn and master the best AI tools in one curated directory | [.md](https://openaitools.app/tool/aijourney.md) | | 10 | [Width.ai](https://openaitools.app/tool/width-ai) | 27,714 | -7.8% | Contact for Pricing | AI & machine learning consulting that ships production systems | [.md](https://openaitools.app/tool/width-ai.md) | --- Source: https://openaitools.app/compare/agents-md-vs-tech-tool-decode More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)