CAMEL-AI
CAMEL-AI (Communicative Agents for Mind Exploration) is an open-source community founded in 2023, dedicated to discovering agent scaling laws through advanced multi-agent frameworks. Inspired by their landmark research paper, CAMEL enables dynamic AI societies where agents collaborate on complex tasks like synthetic data generation, task automation, and world simulations.
General | |
---|---|
Organization | CAMEL-AI |
Founded | 2023 |
Repository | https://github.com/camel-ai |
Start Building with CAMEL-AI
Install the framework in seconds and explore its modular architecture:
pip install camel-ai[all] # Full-featured installation
Core Components
- Agents: Customizable entities with role-based specialization (e.g., Python Programmer, Stock Trader)
- Multi-Agent Societies: Orchestrated teams for complex problem-solving
- Tool Integration: 20+ model platforms (OpenAI, Mistral, Qwen) and 50+ external tools (GitHub, WolframAlpha)
Agentic Framework
A revolutionary architecture enabling:
- Role-Playing Systems: Pre-configured agent pairs for tasks like coding collaboration or customer service
- Memory-Augmented Conversations: Context-aware dialogues with 4K+ token capacity
- Real Function Calling: Seamless API integration for live data processing
from camel.agents import ChatAgent
from camel.models import ModelFactory
# Initialize Llama3 agent via Ollama
model = ModelFactory.create(model_platform="OLLAMA", model_type="llama3")
agent = ChatAgent("Financial Analyst", model=model)
Data Generation Suite
Transform synthetic data creation with:
- Hermes Format Generation: Structured outputs for model training
- Self-Improving Pipelines: Automated quality enhancement using reward models
- Math Reasoning Distillation: Extract complex CoT data from DeepSeek R1
Key Features:
- 25,000+ GPT-3.5 Turbo conversations in Domain Expert dataset
- Support for Mistral/Unsloth fine-tuning workflows
- Real-time data filtering through ethical guardrails
Integration Ecosystem
Category | Technologies |
---|---|
AI Models | OpenAI, Anthropic Claude, Qwen, DeepSeek, Phi-3 |
Vector DBs | Qdrant, Milvus |
Cloud Services | AWS S3, Azure Blob, Google Cloud |
Dev Tools | Docker, Jupyter, Code Interpreter |
Real-World Applications
- Dynamic Travel Planner: Multi-agent system with real-time Dappier integration
- Finance Discord Bot: OpenBB-powered market analysis
- Knowledge Graph Generator: Automated report creation through role-playing scrapers
- Ethical AI Simulation: HumanLayer-approved tool interactions
Supported Model Platforms
Provider | Notable Models | Multimodal |
---|---|---|
OpenAI | GPT-4o, GPT-3.5-Turbo | ✅ |
Mistral | Mixtral 8x22B, Codestral | ✅ |
Anthropic | Claude 3 Sonnet/Opus | ✅ |
Qwen | Qwen-VL-Plus, Qwen-Math | ✅ |
Local | Llama3, Phi-3 (via Ollama/vLLM) | ✅ |
Useful Links
👉 [Set up your first Agent in 120 seconds] (https://www.camel-ai.org/post/getting-started-with-camel-ai)
👉 [CAMEL MODELS] (https://docs.camel-ai.org/key_modules/models.html)
👉 [CAMEL Cookbooks Examples] (https://docs.camel-ai.org/index.html)