Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Star History
Momentum
+1.5K
STARS · LAST 30 DAYS
49
PER DAY
#48
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +343 | +1.5K | +4.4K |
| Per day | 49 | 49 | 49 |
| Forks gained | +43 | +172 | +429 |
crewAI gained 1.5K stars in the last 30 days, about 49 a day, and now has 59.1K. It is about 3 years old and has averaged roughly 19.7K stars a year. It ranks #48 among Python repositories and #179 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#148
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
crewAI has maintained a continuous presence across global trending indexes, peaking at #148. Below is the 30-day activity profile:
💡 Overview
crewAI is an open-source project written in Python: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install crewAI⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
crewAI coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with crewAI.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install crewAI using your package manager: `pip install crewAI`
Initialize your project workspace or configuration file for crewAI.
Import crewAI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `crewAI --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
crewAIInc/crewAI is currently ranked #179 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #174 | rclone/rclone | Go | ★ 60K | Compare ↗ |
| #175 | jquery/jquery | JavaScript | ★ 59.8K | Compare ↗ |
| #176 | FiloSottile/mkcert | Go | ★ 59.7K | Compare ↗ |
| #177 | rust-unofficial/awesome-rust | Rust | ★ 59.6K | Compare ↗ |
| #178 | MemPalace/mempalace | Python | ★ 59.3K | Compare ↗ |
| #179 | crewAIInc/crewAI This Project | Python | ★ 59.1K | |
| #180 | pathwaycom/llm-app | Jupyter Notebook | ★ 58.9K | Compare ↗ |
| #181 | rohitg00/ai-engineering-from-scratch | Python | ★ 58.3K | Compare ↗ |
| #182 | go-gitea/gitea | Go | ★ 58.2K | Compare ↗ |
| #183 | zylon-ai/private-gpt | Python | ★ 57.5K | Compare ↗ |
| #184 | jellyfin/jellyfin | C# | ★ 57.5K | Compare ↗ |
Frequently Asked Questions
What does crewAI do? +
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
What language is crewAI written in? +
The primary language is Python. Topics include: agents, ai, ai-agents, aiagentframework, llms.
Is crewAI actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 503 open issues being tracked.
How many stars does crewAI have? +
crewAI has 59,097 stars and 8,586 forks on GitHub.
How does crewAI rank among GitHub repositories? +
With 59,097 stars, crewAIInc/crewAI is ranked #179 globally across all repositories tracked on GitHubRepo and #48 among Python projects.
What license is crewAI distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
