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Scripts2026年3月31日·1 分钟阅读

CAMEL — Multi-Agent Framework at Scale

Name: CAMEL — Multi-Agent Framework at Scale
Author: Script Depot

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.

Script Depot · Community

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

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CAMEL — Multi-Agent Framework at Scale

Key Features

FAQ

来源与感谢

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