# AGENTS.md vs Section AGENTS.md records 245,457 monthly visits with +5.7% month-over-month growth and Free pricing. Section records 510 monthly visits with -66.6% growth and Freemium, Contact for Pricing pricing. | Metric | [AGENTS.md](https://openaitools.app/tool/agents-md) | [Section](https://openaitools.app/tool/section4-com) | | :--- | :--- | :--- | | Website URL | https://agents.md | https://sectionai.com | | Categories | AI Agent, AI Code Assistant, AI Developer Tools | AI Consulting, AI Course, AI Workflow, AI Coaching | | Pricing Model | Free | Freemium, Contact for Pricing | | Monthly Visits | 245,457 | 510 | | MoM Growth Rate | +5.7% | -66.6% | | Primary Market | United States | Global | | Direct Visits | 156,868 | 206 | | Review Score | 4.7 | 4 | | Saved Count | 0 | 2 | | 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) ## Section Section frames the problem bluntly: most companies have already bought AI tools, but almost nobody's work has actually changed. The company positions itself as the transformation layer that sits between expensive tooling and real business outcomes — a mix of software for measurement and humans for behavior change. It is used by large enterprises in media, technology, and consumer goods to make AI fluency a baseline skill rather than a competitive advantage for a select few. The platform side centers on Section HQ, an agentic console where heads of AI manage roadmaps, track which AI platforms people actually use, measure AI fitness across the organization, and report on spend. The coaching side, Section Coach, delivers personalized skills coaching to every employee so they get aha moments in their own role, from prompting through to building agents. Self-paced courses and memberships serve individuals who want to skill up without an enterprise engagement. On the services side, Section offers AI transformation planning sprints, leadership coaching workshops, embedded strategy consultants, and workflow automation engagements that identify, prototype, and scale agentic use cases. Section describes its model as combining the strategizing of consulting with the scale of software. Public case studies cite results such as certifying 85% of employees as AI proficient and rolling coaching out to a workforce of tens of thousands. **Pricing & Plans:** Section uses a hybrid model. Individual learners can access free or paid courses and annual memberships on the consumer side, while platform access (Section HQ and Section Coach), consulting sprints, leadership workshops, and workflow automation projects are priced by quote after a discovery call with the team. There is no published per-seat rate card, which is typical for enterprise transformation programs scoped to company size and ambition. - **Section HQ adoption analytics:** A command center for heads of AI that tracks platform usage, individual AI proficiency, budget spend including shadow tools, and roadmap progress in one dashboard. - **Section Coach:** Personalized AI coaching for employees and teams, moving people from basic prompting to building agents tailored to their specific role. - **AI transformation planning:** A structured sprint that audits your current AI state, aligns leaders on ambition, and produces a plan with a named owner for every initiative. - **Workflow automation and consulting:** Embedded senior operators who run change management, prioritize where agents add most value, and prototype workflows within a matter of weeks. - **Leadership workshops and courses:** Live workshops that move executives and managers from AI-aware to AI-augmented, plus self-paced courses and year-round memberships for individuals. **Strengths:** Covers the full transformation arc — strategy, measurement, coaching, and workflow redesign — instead of just one piece; Section HQ gives leadership hard data on AI usage, fitness, and spend, including shadow tools; Coaching is personalized to each employee's actual role rather than generic prompt libraries; Backed by published enterprise case studies from recognizable brands **Limitations:** Enterprise platform and HQ analytics are quote-based, with no public self-serve pricing; The heaviest value (embedded consultants, leadership workshops) requires a services engagement and internal buy-in; Best fit for organizations with hundreds or thousands of employees; small teams may find the coaching model hard to justify; Course and membership catalogs rotate as new AI models and practices appear, so curriculum continuity varies [Profile (Markdown)](https://openaitools.app/tool/section4-com.md) ## Frequently Asked Questions ### How do AGENTS.md and Section compare in monthly traffic? AGENTS.md has 245,457 monthly visits, while Section has 510. 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%; Section has -66.6%. ### 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. Section: Freemium, Contact for Pricing. Section uses a hybrid model. Individual learners can access free or paid courses and annual memberships on the consumer side, while platform access (Section HQ and Section Coach), consulting sprints, leadership workshops, and workflow automation projects are priced by quote after a discovery call with the team. There is no published per-seat rate card, which is typical for enterprise transformation programs scoped to company size and ambition. ## 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 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.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 | [deepsense.ai](https://openaitools.app/tool/deepsense-ai) | 57,084 | -4.3% | Contact for Pricing | Applied AI engineering and consulting for enterprise deployments | [.md](https://openaitools.app/tool/deepsense-ai.md) | | 10 | [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) | --- Source: https://openaitools.app/compare/agents-md-vs-section4-com More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)