CAMEL
Multi-agent systems, synthetic data generation, task automation, world simulation.
About CAMEL
CAMEL-AI.org is the 1st LLM multi-agent framework and an open-source community dedicated to finding the scaling law of agents.
Key Features
- Multi-agent systems
- synthetic data generation
- task automation
- world simulation.
Use Cases
- Multi-agent systems
- synthetic data generation
- task automation
- world simulation.
Demo Video
Video Reviews
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User Reviews 5
Sam Witteveen
Co-founder @ Red Dragon AIThe 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.
2026-06-03Valory
Open-source frameworkThe 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
2026-06-03Sophia Yang Ph.D.
Head of Developer Relations @ Mistral AIThe essence of Camel lies in its prompt engineering - inception prompting. The prompts are carefully defined to assign roles, prevent flipping roles, prohibit harm and false information, and encourage consistent conversation.
2026-06-03Databricks
The Data and AI CompanyMPT-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.
2026-06-03Yogesh Haribhau Kulkarni
AI AdvisorThis innovative concept is set to redefine the way AI agents interact with each other and, in doing so, revolutionize the realm of conversational AI.
2026-06-03Frequently Asked Questions
- Multi-agent systems
- synthetic data generation
- task automation
- world simulation.
Details
- Category: Agent Builder
- Industry: Technology
- Access: Open Source
- Pricing: Free
- Created By: CAMEL-AI.org