Camel

Multi-agent AI collaboration for complex tasks.

PRICING STARTS

$

0

/ Month

INDUSTRY

Technology

PRICING TYPE

Free

ABOUT

Camel is an open-source framework designed to build and manage multi-agent systems powered by Large Language Models (LLMs). It enables the creation of customizable agents that can autonomously collaborate to perform complex tasks, facilitating applications such as task automation, data generation, and world simulations.


USE CASES

Task Automation: Develop multi-agent systems where agents autonomously cooperate to complete tasks, reducing the need for human intervention.

Data Generation: Utilize CAMEL's multi-agent framework to streamline large-scale synthetic data creation and labeling, enhancing AI model training.

World Simulation: Create simulated environments where agents interact, providing insights into complex systems and behaviors.

CORE FEATURES

Customizable Agents: CAMEL empowers users to define agents with specific roles, goals, and behaviors using modular components, allowing for tailored solutions to various tasks.

Multi-Agent Framework: The framework addresses challenges in autonomous agent cooperation, guiding agents toward task completion while maintaining alignment with human intentions.

Tool Integration: Agents can be equipped with tools to enhance their capabilities, making them more powerful and versatile in performing tasks.

Memory Management: Agents can retain and utilize information through integrated memory components, enabling more coherent and context-aware interactions.


CATEGORY

AI Agents Framework

USEFUL FOR

AI Engineers