CAMEL-AI

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Build smarter AI teams with CAMEL-AI. Create powerful multi-agent systems for automation, research, and data generation. Open source, scalable, and trusted by leading researchers to turn bold AI ideas into reality!
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Last Updated On June 26, 2026
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Designed for developers, researchers, and AI enthusiasts, CAMEL-AI makes it easier to build advanced multi-agent systems for real-world tasks. The open-source framework helps create AI agents that can communicate, collaborate, and solve complex problems together. It also supports data generation, task automation, world simulation, and reinforcement learning workflows. With a rich toolkit, scalable architecture, and many built-in components, users can quickly develop and test intelligent agent applications. Backed by an active community and trusted by researchers from leading universities and technology companies, CAMEL-AI is a powerful choice for anyone exploring the future of autonomous AI systems.

๐Ÿ’ก Notable Features

What sets CAMEL-AI apart?

๐Ÿค– Multi-Agent Workforce

Create AI teams where multiple agents work together with different roles. They can communicate, plan tasks, and solve complex problems as a group. This makes it much easier to automate workflows that would be difficult for a single AI agent to complete alone.

๐Ÿงฐ Rich Built-In Toolkit

CAMEL-AI comes with many ready-to-use tools for messaging, planning, memory, evaluation, code execution, web search, and more. Developers spend less time building basic functions and more time creating useful AI applications that are ready for real-world use.

๐Ÿ“ˆ Built for Large Scale

The framework is designed to handle everything from small projects to systems with millions of AI agents. Its scalable architecture helps maintain performance while supporting advanced communication, coordination, and long running workflows without becoming difficult to manage.

๐Ÿ”— Wide Integration Support

Connect your AI agents with popular services like GitHub, Gmail, Slack, Google Drive, Notion, APIs, browsers, databases, and many other tools. These integrations help agents perform practical tasks and fit easily into existing business or development workflows.

๐Ÿงช Research Ready Framework

CAMEL-AI is built on strong multi-agent research and includes benchmarks, datasets, and reinforcement learning support. It is an excellent choice for developers and researchers who want to experiment with advanced AI systems while building reliable and scalable applications.

โญ User Reviews

What do people think about CAMEL-AI?

๐Ÿ“„ Details Table

CAMEL-AI info, in a nutshell
Release2023
FounderGuohao Li
Headquarters LocationUnited States
Popularity43.2K+ GitHub stars
Employees11-50 employees
Main FeatureOpen-source framework for building scalable multi-agent AI systems with task automation, data generation, world simulation, and extensive tool integrations.
Best ForAI Researchers, Machine Learning Engineers, Python Developers etc.
PricingFreemium
SupportEmail (contact@camel-ai.org)
API For DevelopersYes
Social Media

โ“ Frequently Asked Questions

CAMEL-AI related questions, answered

๐ŸŽ Free Trial & Coupon

Why pay CAMEL-AI full price, if you can get some for free?
Free Trial Information
Free Planโœ…
Free TrialโŒ
Oh no! That's a bummer :(
At this moment, CAMEL-AI is not offering any promotion or discount code. However, we may help you out. Subscribe to the form below and, if they will release a promo code, you will be the first one to know. ๐Ÿ˜‰

๐Ÿ‘จโ€๐ŸŽ“ Expert's Opinion

what does our expert say about CAMEL-AI?
Working with CAMEL-AI shows why it has become a popular choice for multi-agent development. The framework is flexible, well organized, and includes many ready-to-use tools that save development time. It performs especially well for research projects, workflow automation, and testing how AI agents interact. The active community and frequent updates are also major strengths. The biggest drawback is the learning curve. Beginners may find the large number of components and concepts overwhelming at first. Still, once you understand the framework, it becomes much easier to build reliable and scalable AI agent systems. It is a strong option for serious AI development.

โ–ถ๏ธ Videos

CAMEL-AI related videos.

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