CAMEL

Build, manage, and deploy custom AI workforces to automate complex workflows and tasks.

Utilize a unique role-playing framework for agents to collaborate effectively and overcome common interaction challenges.

Enhance AI responses by integrating information retrieval from external sources, ensuring accuracy and contextual relevance.

Access a variety of single-agent types like Chat, Critic, Deductive Reasoner, and Search agents for specialized tasks.

Generate high-quality reasoning paths and detailed logical sequences through interactive chat agent dialogues.

Create diverse and high-quality machine-generated instructions for tasks by combining human-written seeds and AI inputs.

Systematically produce complex, multi-hop question-answer pairs from source text, with configurable complexity.

Iteratively enhance and refine reasoning traces for problem-solving tasks through continuous self-evaluation and feedback.

Simulate behavior of up to one million users on social media platforms to study complex social phenomena.

Blend real-time trending posts with precise user agent behavior to simulate digital social dynamics for A/B testing and feedback.

Provide a comprehensive benchmark for evaluating multimodal language model agents across diverse environments and scenarios.

Integrate with a wide range of large language models from leading providers such as OpenAI, Anthropic, Gemini, and Mistral AI.

Manage and integrate various external tools with LLMs and AI agents using function calling for enhanced capabilities.

Power next-generation AI applications with high-performance vector search databases for efficient similarity searches and data retrieval.