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: May 5, 2026 • Sentiment updated: Apr 23, 2026

GitHub Statistics

Community Sentiment

Community Buzz: "I built a multi-agent investment analyst with CrewAI — here's what I learned about agent orchestration. Been working on a side project for the past few ..." [Reddit]

Pros & Cons

What People Love

CrewAI is solid for multi-agent stuff, fast agent orchestration, cross-framework agent interoperability

Common Complaints

agent_context_window_fills_up_and_things_start_breaking, CrewAI runs on Langchain under the hood, need for memory layer

Biggest Positive: multi-agent_orchestration

Biggest Negative: agent_context_window_fills_up_and_things_start_breaking

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

Enterprise software development and AI research