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
OrganizationCAMEL-AI
Founded2023
Repositoryhttps://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

CategoryTechnologies
AI ModelsOpenAI, Anthropic Claude, Qwen, DeepSeek, Phi-3
Vector DBsQdrant, Milvus
Cloud ServicesAWS S3, Azure Blob, Google Cloud
Dev ToolsDocker, Jupyter, Code Interpreter

Real-World Applications

  1. Dynamic Travel Planner: Multi-agent system with real-time Dappier integration
  2. Finance Discord Bot: OpenBB-powered market analysis
  3. Knowledge Graph Generator: Automated report creation through role-playing scrapers
  4. Ethical AI Simulation: HumanLayer-approved tool interactions

Supported Model Platforms

ProviderNotable ModelsMultimodal
OpenAIGPT-4o, GPT-3.5-Turbo
MistralMixtral 8x22B, Codestral
AnthropicClaude 3 Sonnet/Opus
QwenQwen-VL-Plus, Qwen-Math
LocalLlama3, Phi-3 (via Ollama/vLLM)

👉 Explore CAMEL Documentation

👉 [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)