Building Multi-Agent
Systems for Data Generation

CAMEL-AI is a open-source community for finding the scaling laws of agents for data generation, world simulation, task automation.

What CAN CAMEL DO?

You can use CAMEL to build

CAMEL’s multi-agent approach streamlines large-scale synthetic data creation and labeling. By assigning different specialized roles to each agent, it encourages dynamic, chain-of-thought collaborations that yield high-quality outputs. The orchestrated interaction ensures comprehensive coverage of data variations and consistency across domains. This makes it ideal for generating training sets, question-answer pairs, or other structured content.

CAMEL powers automated workflows by breaking down complex tasks among coordinated agents. Each agent assumes a specific role, collaborating through an iterative conversational framework. This reduces manual intervention, minimizes errors, and accelerates solution delivery—especially useful for repetitive or logic-intensive processes.

CAMEL enables simulations of dynamic, interactive worlds. Agents act as entities with distinct personas, communicating and responding in real time. This setup can be used for modeling scenarios, building interactive storylines, or testing multi-layered strategies. By capturing the nuances of diverse viewpoints, CAMEL creates immersive simulations for experimentation, training, and creative exploration.

OUR MISSION

We Are Finding
the Scaling Laws of Agents

We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks.

Join Research Meeting
Enviornment of
Agents
Ability of
Evolution
What's Next?
Research with us

Rigorous research takes time and resources. With advanced GPU access and a dedicated team, we explore the frontier research topics by balancing urgency and patience. Join our ongoing projects or test new ideas with us, reach out via email for more information.

Join our open source community

We value every contribution, from new features to bug fixes. Projects at CAMEL evolves around enhancing infrastructure, improving documentation, and implementing research ideas. Check out our Contributing Guidelines on GitHub.

CAMEL Community

Join CAMEL to
Build Agentic World Together !

components

Create powerful agents with our components

Explore More
Models

These power your agents

Agents

The core entities that perform tasks

Tools

Enhance your agents' capabilities

Memory

Enable agents to retain and utilize information

Prompts

Instructions that guide your agents

CAMEL USE CASEs

Built with CAMEL

One Bot, Every Answers

EigentBot deploys an AI-powered community manager in seconds! - Seamlessly integrate with web links, files, Notion, GitHub, LinkedIn, and more. - Prioritizing privacy, we support local model deployment. - With one-click, get your bot running in just 3 seconds!

High-Performance Vector Search

Qdrant offers a high-performance, open-source vector search database designed to power next-generation AI applications. It enables efficient similarity searches for high-dimensional data, facilitating tasks like matching, searching, and recommending.

Turn Websites into LLM-ready Data

Firecrawl turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API.

Frontier AI in Your Hands

Mistral AI focuses on creating efficient, cost-effective AI models that require fewer computational resources. The company offers both free open-source models and commercial API-only models, aiming to democratize AI technology

The World's Fastest AI Inference

It offers enterprise-scale AI platforms, including hardware and software, designed for generative AI. SambaNova's products feature proprietary chip designs and full-stack approaches, enabling efficient deployment of complex AI applications across various industries.

AI Accuracy , Delivered

Improve LLM accuracy by 50% or more with Log10's AutoFeedback. Scale human perspective by 1000x using fine-tuned models and synthetic data.

Production Ready Toolset for AI Agents

Empower your AI agents with Composio - a platform for managing and integrating tools with LLMs & AI agents using Function Calling.

Communicative Agents for Software Development

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

AI-powered interview co-pilot.

AI Geometric is your AI-powered interview co-pilot, transforming job preparation from a solo task into an immersive, multi-dimensional experience.

Testimonials

Success Stories with CAMEL

“The thing that I find really interesting with this is that it’s an unbelievably good way to make synthetic data. If you’re trying to create any sort of customer service or chatbot agent that communicates with the public, this allows you to make synthetic data for training and fine-tuning.”

Sam Witteveen
Co-founder @ Red Dragon AI

"The CAMEL AI “Domain Expert” dataset, comprising 25,000 conversations between two GPT 3.5 Turbo agents was used as part of the training data for Teknium’s OpenHermes model and the Microsoft Phi model"

Valory
Open-source framework

"Guohao Li, who designed Camel, highlights the potential of multi-agent systems to bypass traditional AI limitations, enabling tasks like phishing email generation and cyber bug development."

The Economist
Newspaper

“The essence of Camel lies in its prompt engineering, i.e., inception prompting. The prompts are actually carefully defined to assign roles, prevent flipping roles, prohibit harm and false information, and encourage consistent conversation.”

Sophia Yang, Ph.D.
Head of Developer Relations @ Mistral AI

MPT-30B-Chat is a chatbot-like model for dialogue generation. It was built by finetuning MPT-30B and trained on 19.54% Camel-AI sourced data

Databricks
The Data and AI Company

"This innovative concept is set to redefine the way AI agents interact with each other and, in doing so, revolutionize the realm of conversational AI."

Yogesh Haribhau Kulkarni
AI Advisor
Camel Blog

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