CAMEL is the world's first multi-agent system. It is designed to be data-driven, stateful, and agent-friendly. 1. Data Generation. The Chain of Thought (CoT) data generation module implements a sophisticated system for generating high-quality reasoning paths through chat agent interactions.

🐫 CAMEL is an open-source community dedicated to 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.

Finding the Scaling Law of Agents: The First and the Best Multi-Agent Framework. CAMEL emerges as the earliest LLM-based multi-agent framework, and is now a generic framework to build and use LLM-based agents for real-world task solving.

Apr 3, 2025 · CAMEL-AI.org advances multi-agent AI by scaling environments and shifting from prompt engineering to RL for smarter, adaptive agents. Learn how OWL uses MCP to automate tool calls, streamline workflows, and build powerful multi-agent systems with ease. What’s Inside the Best Open-Source General AI Agent?

Feb 14, 2025 · Apache Camel AI is a set of components that allow various AI-related technologies to be integrated with Camel. Nowadays, LLMs such as OpenAI ChatGPT and Meta Llama are gaining a lot of attention, and many frameworks and tools are exploring ways to utilise them.

The model is the brain of the intelligent agent, responsible for intelligent agent, processing all input and output data to execute tasks such as text analysis, image recognition, and complex reasoning. With customizable interfaces and multiple integration options, CAMEL AI enables rapid development with leading LLMs.

Nov 11, 2024 · In this tutorial video, Fahd Mirza demonstrates building local AI agents using CAMEL-AI and Ollama. He creates a real estate chatbot as an example, showing the full setup process from installing Python dependencies to configuring the Llama 3 model.

2 days ago · The research team tested CaMeL against the AgentDojo benchmark, a suite of tasks and adversarial attacks that simulate real-world AI agent usage. It reportedly demonstrated a high level of utility ...

CAMEL allows AI agents to extend their capabilities by integrating custom tools, similar to how humans use tools to surpass natural limits. This tutorial shows how to set up and customize tools within CAMEL, from basic functions like calculators to creating multi-agent systems that collaborate on tasks.

Mar 11, 2025 · The most important facts about the CAMEL-AI update: Multi-agent framework aims to establish immensely scalable systems that support millions of agents simultaneously. Core research on synthetic data, autonomous automation and world-simulated scenarios expands AI application fields.