Is CAMEL — Multi-Agent Framework at Scale free to use?

Yes. CAMEL — Multi-Agent Framework at Scale is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install CAMEL — Multi-Agent Framework at Scale?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Scripts2026年4月1日·1 分钟阅读

CAMEL — Multi-Agent Framework at Scale

Name: CAMEL — Multi-Agent Framework at Scale
Author: TokRepo精选

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.

TokRepo精选 · Community

快速使用

先拿来用，再决定要不要深挖

这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。

# 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)
"

介绍

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.

🙏

来源与感谢

Created by CAMEL-AI. Licensed under Apache 2.0. camel-ai/camel — 16,600+ GitHub stars

CAMEL — Multi-Agent Framework at Scale

先拿来用，再决定要不要深挖

Key Features

FAQ

来源与感谢

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