crewai.com

Found /llms.txt but missing markdown links.

Fix · Next.js: Add /llms.txt via app/llms.txt/route.ts (or public/llms.txt). Generate one free at /tools/llms-txt-generator.

Visible text is 2.2% of HTML weight (5855/262279 bytes). Low. Markup may be crowding out agent-usable text.

Fix: Heavy ad or navigation markup crowds out agent-usable text. Aim for a text-to-DOM ratio above 15%.

Meta description is 32 characters; aim for 50–200 so it's neither thin nor truncated.

Fix: Add `<meta name="description" content="...">` to your primary pages. Agents frequently use it as a summary.

Heading issues: 1 skipped level(s).

Fix: Use a single H1 and avoid skipping heading levels (H1 → H3).

No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.

Fix: Publish an MCP Server Card describing the tools your site exposes. Agents discover capabilities via `/.well-known/mcp/server-card.json`. See modelcontextprotocol.io for the schema.

No Web Bot Auth JWKS at /.well-known/http-message-signatures-directory.json. Publish one to allow trusted agents while keeping a default-deny posture for the rest.

Fix: Publish a JWKS at `/.well-known/http-message-signatures-directory.json` and accept signed requests per the Web Bot Auth draft. Lets you allow trusted agents while keeping a default-deny posture for the rest.

# CrewAI

> The Leading Multi-Agent Platform

## Key pages
- [Home](https://crewai.com/)
- [Build. Deploy. Manage. Enterprise Agents](https://crewai.com/)

## About
Describe what crewai.com does, who it's for, and the primary action you want an
agent to be able to complete. Keep it factual and current.

CrewAI NEW: know what to automate before you build with CrewAI Discovery Enterprise Open Source Docs Resources Resources Case Studies Webinars Events Blog Pricing Sign In Sign Up Enterprise Open Source Docs Resources Resources Case Studies Webinars Events Blog Pricing Sign In Sign Up Build. Deploy. Manage. Enterprise Agents The open platform that accelerates agent adoption. From discovering what to automate, to launching your first agent, to optimizing your thousandth. Request a Demo No Code CLI No Code CLI No Code CLI No Code CLI CrewAI simplifies the agent production process without sacrificing the control enterprises demand. Loved by AI builders. Trusted by AI leaders. Used by 63% of the Fortune 500. Discover Know what to automate before you build CrewAI Discovery matches patterns observed over billions of agent runs against your tickets, chats, apps, and workflows. You get a list of automation opportunities ranked by effort, value, and readiness. Learn more Agentic use case generator powered by billions of agent runs Interactive suggestions refine and improve recommended automations Agent a utomations in shareable presentation format accelerates team alignment Accelerated path to build automations with one-click context Build Easy to build multi-agent workflows Anyone who needs to build an agent can work with CrewAI. Use simple visual build tools to sophisticated CLI or APIs for complex multi-agent orchestrations, CrewAI flexes to meet you where you are. Try Now No-code visual editor, exportable to Python Code-first API built for total control Role-based agents separate and simplify agent orchestration Create deterministic agent workflows Govern Manage production agents with control and confidence CrewAI's Control Plane sits in the execution path of every workflow, ensuring every agent interaction is observable, compliant, and reversible Request a Demo Real-time tracing of every LLM call, tool call, and memory read is observable with full cost accounting RBAC and audit provide granular control, immutable audit trails, and Enterprise IAM Human-in-the-loop approval gates and intervention during execution Runtime hooks inject PII redaction and policy checks at every LLM and tool call Optimize Build agents that get better with every run CrewAI turns every production run into training data to sharpen accuracy, save money, and surface the next workflow to build Request a Demo Automated and human-guided training for continuous improvement Multi-LLM testing for model swapping at runtime, find the right model for every workflow Evaluation for native tracking with expanded sophistication powered by Arize, Galileo, DataDog, and Patronus Real-time tracing for every LLM call, tool call, and memory read is observable with full cost accounting Proven Results The future is here, right now. :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 0 M+ :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 0M+ Agentic workflows ran per month :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 0 + :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 0+ Sign ups per week :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 0 % :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 0% of the Fortune 500 Testimonials Our clients love us Gelato improved lead quality and prioritization with AI agents that enrich leads with data on company size, printer infrastructure and revenue estimates. Styrbjorn Holmberg - VP Product Management 3,000+ leads enriched per month General Assembly streamlined and scaled its curriculum design process with a crew of AI agents that generate lesson content and instructor guides. 90% reduction in development time Docusign accelerated lead time-to-first-contact by extracting, consolidating and evaluating lead data from multiple internal systems with AI agents. 75% faster first contact with leads Piracanjuba improved customer support ticket response time as well as accuracy by replacing its legacy RPA tooling with a crew of AI agents. 95% response accuracy for customer support Automated voice agent testing helped a leading food ordering service reduce QA from 74 to 3 hours. 96% reduction in QA time Get Started CrewAI supports any stage of your agentic journey Starting out You're ready for agents. You need a solid foundation to start building. Try Now Scaling up You've launched pilots. Now you need agents in production. Meet with us At scale Agents are running. You need to manage the sprawl. Meet with us Sign up for our monthly newsletter Help Chat with our docs Blog Privacy policy Terms of service Status Explore Meet with us Careers Resources Documentation Case Studies Webinars Events Blog GitHub project Community forum Security trust center CrewAI © Copyright 2026.

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