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What is CAMEL-AI?

CAMEL‑AI is an open‑source, modular framework for building intelligent multi‑agent systems. It provides the primitives to:

• Create Agents that reason, plan, and act
• Compose Societies of agents with defined roles
• Integrate Interpreters for code execution and analysis
• Manage Memory for long‑horizon context and learning
• Orchestrate Retrieval‑Augmented Generation (RAG) pipelines
• Generate Synthetic Data at scale with self‑instruct and verifier loops
• Simulate Worlds and agent interactions in environments like social networks

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Core Components

• Agents: Atomic reasoning units driven by LLMs, capable of tool calls and decision‑making
• Societies: Coordinator layers that assign roles, delegate tasks, and manage collaboration
• Interpreters: Execution backends (Python, shell, browsers) for live code evaluation and automation
• Memory & Storage: Persistent context layers for chat history, tool outputs, and learned knowledge
• RAG Pipelines: Combine chunking, retrieval, and generation for grounded, accurate responses
• Synthetic Data Engines: Self‑instruct, Chain‑of‑Thought, and Source2Synth pipelines with verifiers
• World Simulation: Platforms like Oasis for large‑scale multi‑agent social simulations
• Task Automation: Benchmarks like CRAB for real‑world multi‑step software workflows

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Ecosystem Highlights

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