# CAMEL — Multi-Agent Framework at Scale

> CAMEL is a multi-agent framework for studying scaling laws of AI agents. 16.6K+ GitHub stars. Up to 1M agents, RAG, memory systems, data generation. Apache 2.0.

## Install

Save as a script file and run:

## Quick Use

```bash
# Install
pip install camel-ai

# Quick start — role-playing agents
python -c "
from camel.agents import ChatAgent
from camel.messages import BaseMessage

assistant = ChatAgent(
    system_message=BaseMessage.make_assistant_message(
        role_name='Assistant',
        content='You are a helpful AI assistant.'
    )
)
response = assistant.step(
    BaseMessage.make_user_message(role_name='User', content='What is CAMEL?')
)
print(response.msgs[0].content)
"
```

---

## Intro

CAMEL is an open-source multi-agent framework dedicated to finding the scaling laws of AI agents. With 16,600+ GitHub stars and Apache 2.0 license, CAMEL enables large-scale agent simulation (up to 1 million agents), dynamic inter-agent communication, stateful memory systems, RAG support, integrated tool and data generation, and diverse agent types and environments. Built for researchers and developers studying cooperative AI, task automation, and world simulation at scale.

**Best for**: Researchers and developers building multi-agent systems, cooperative AI, or large-scale simulations
**Works with**: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf
**Scale**: Up to 1M agents in simulation

---

## Key Features

- **1M agent scale**: Simulate up to one million interacting agents
- **Dynamic communication**: Inter-agent messaging and coordination
- **Stateful memory**: Persistent memory systems for agents
- **RAG support**: Retrieval-augmented generation built in
- **Data generation**: Automated data creation from agent interactions
- **Multiple benchmarks**: Evaluate agent capabilities systematically
- **Tool integration**: Agents can use external tools and APIs

---

### FAQ

**Q: What is CAMEL?**
A: CAMEL is a multi-agent framework with 16.6K+ stars for studying AI agent scaling laws. Supports up to 1M agents, RAG, memory systems, and data generation. Apache 2.0.

**Q: How do I install CAMEL?**
A: `pip install camel-ai`. Create agents with `ChatAgent` and orchestrate multi-agent conversations.

---

## Source & Thanks

> Created by [CAMEL-AI](https://github.com/camel-ai). Licensed under Apache 2.0.
> [camel-ai/camel](https://github.com/camel-ai/camel) — 16,600+ GitHub stars

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Source: https://tokrepo.com/en/workflows/23732313-ea97-4319-b7a5-19dcddd7e97c
Author: Script Depot