CrewAI — AI Agent Framework: Live Stats & TrendScore

CrewAI has 45k+ GitHub stars and one of the most active Discord communities in the AI agent space. We track daily star velocity, fork activity, and what developers are actually saying about it.

GitHub data synced: Jun 26, 2026 • Sentiment updated: Jun 29, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As one user on HackerNews said, 'Orchestration is a lot of skill calling, templates and gate checks,' indicating a strong interest in workflow management with crewAI. On GitHub, a user noted, 'Findings only from `src/praisonai/praisonai/` (the wrapper layer),' showing engagement with the technical aspects of the platform.

Pros & Cons

What People Love

Innovative approach to AI and machine learning, Potential for multi-agent systems as seen on HackerNews and GitHub discussions

Common Complaints

Integration issues with other tools, Complexity in setup and management

Biggest Positive: Innovative AI

Biggest Negative: Integration Issues

Why CrewAI Stands Out

CrewAI stands out from alternatives by providing a lean, lightning-fast Python framework built entirely from scratch, independent of LangChain or other agent frameworks. Its high-performance architecture and flexible low-level customization make it ideal for creating autonomous AI agents tailored to any scenario. By empowering developers with both high-level simplicity and precise low-level control, CrewAI unlocks the true potential of multi-agent automation. Additionally, its robust community of over 100,000 certified developers offers comprehensive support and resources.

Built With

Build a autonomous customer support system — CrewAI's Flows enable event-driven control for precise task orchestration, Build a multi-agent research platform — CrewAI's Crews optimize for autonomy and collaborative intelligence, Build a real-time stock analysis tool — CrewAI's low-level customization allows for granular agent behaviors and execution logic, Build a personalized trip planner — CrewAI's high-level simplicity and precise control enable tailored agent-driven automation, Build a smart home automation system — CrewAI's seamless integrations with existing enterprise systems enable easy connectivity

Getting Started

  1. Install CrewAI using pip: `pip install crewai`
  2. Configure your CrewAI environment by setting up a Crew Control Plane: `crewai init`
  3. Connect your Crew to a model using the CrewAI API: `crewai connect-model`
  4. Define your agent's behavior using CrewAI's low-level customization: `crewai define-behavior`
  5. Try running a sample Crew to verify it works: `crewai run-sample`

About

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Official site: https://crewai.com

Category & Tags

Category: multi-agent

Tags: agents, ai, ai-agents, aiagentframework, llms

Market Context

crewAI is positioned within a competitive AI and machine learning market, with platforms like LangGraph and OpenAI also being discussed in similar contexts.