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View on GitHub🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
CAMEL is a Python framework for building and studying multi-agent systems at scale, with agents, societies, toolkits, memories, and data generation. It supports role-playing, workforce orchestration, RAG, benchmarks, and MCP tool integration for agent research and automation.
Use Cases
Build multi-agent systems and agent societiesSimulate millions of agents to study scaling lawsGenerate synthetic instruction and CoT training dataTask automation with role-playing agent teamsRAG pipelines with vector and graph storesAgent benchmarking and evaluationWorkforce orchestration of cooperative agentsResearch on emergent agent behavior
Built With
- Language
- Python
- Frameworks
- OpenAI SDK · Pydantic · MCP · LangChain · Qdrant · Milvus · FAISS · Weaviate · Neo4j · vLLM · Ollama · Gradio · Hugging Face
Tags
multi-agent · agents · agent-society · LLM · synthetic-data · role-playing · workforce · memory · toolkits · benchmarks · RAG · python · MCP · data-generation · simulation · scaling-laws