[![Colab][colab-image]][colab-url]
[![Hugging Face][huggingface-image]][huggingface-url]
[![Slack][slack-image]][slack-url]
[![Discord][discord-image]][discord-url]
[![Wechat][wechat-image]][wechat-url]
[![Twitter][twitter-image]][twitter-url]
______________________________________________________________________
# CAMEL: Finding the Scaling Laws of Agents
[![Python Version][python-image]][python-url]
[![PyTest Status][pytest-image]][pytest-url]
[![Documentation][docs-image]][docs-url]
[![Star][star-image]][star-url]
[![Package License][package-license-image]][package-license-url]
<p align="center">
<a href="https://github.com/camel-ai/camel#community">Community</a> |
<a href="https://github.com/camel-ai/camel#installation">Installation</a> |
<a href="https://camel-ai.github.io/camel/">Documentation</a> |
<a href="https://github.com/camel-ai/camel/tree/HEAD/examples">Examples</a> |
<a href="https://arxiv.org/abs/2303.17760">Paper</a> |
<a href="https://github.com/camel-ai/camel#citation">Citation</a> |
<a href="https://github.com/camel-ai/camel#contributing-to-camel-">Contributing</a> |
<a href="https://www.camel-ai.org/">CAMEL-AI</a>
</p>
<p align="center">
<img src='https://raw.githubusercontent.com/camel-ai/camel/master/misc/logo_light.png' width=800>
</p>
## Community
🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
Join us ([*Discord*](https://discord.camel-ai.org/), [*WeChat*](https://ghli.org/camel/wechat.png) or [*Slack*](https://join.slack.com/t/camel-ai/shared_invite/zt-2g7xc41gy-_7rcrNNAArIP6sLQqldkqQ)) in pushing the boundaries of finding the scaling laws of agents.
## What Can You Build With CAMEL?
### 🤖 Customize Agents
- Customizable agents are the fundamental entities of the CAMEL architecture. CAMEL empowers you to customize agents using our modular components for specific tasks.
### ⚙️ Build Multi-Agent Systems
- We propose a multi-agent framework to address agents' autonomous cooperation challenges, guiding agents toward task completion while maintaining human intentions.
### 💻 Practical Applications
- The CAMEL framework serves as a generic infrastructure for a wide range of multi-agent applications, including task automation, data generation, and world simulations.
## Why Should You Use CAMEL?
1. Comprehensive Customization and Collaboration:
- Integrates over 20 advanced model platforms (e.g., commercial models like OpenAI, open-source models such as Llama3, and self-deployment frameworks like Ollama.).
- Supports extensive external tools (e.g., Search, Twitter, Github, Google Maps, Reddit, Slack utilities).
- Includes memory and prompt components for deep customization.
- Facilitates complex multi-agent systems with advanced collaboration features.
2. User-Friendly with Transparent Internal Structure:
- Designed for transparency and consistency in internal structure.
- Offers comprehensive [tutorials and detailed docstrings](https://docs.camel-ai.org/) for all functions.
- Ensures an approachable learning curve for newcomers.
## Try It Yourself
We provide a [](https://colab.research.google.com/drive/1AzP33O8rnMW__7ocWJhVBXjKziJXPtim?usp=sharing) demo showcasing a conversation between two ChatGPT agents playing roles as a python programmer and a stock trader collaborating on developing a trading bot for stock market.
<p align="center">
<img src='https://raw.githubusercontent.com/camel-ai/camel/master/misc/framework.png' width=800>
</p>
## Installation
### From PyPI
To install the base CAMEL library:
```bash
pip install camel-ai
```
Some features require extra dependencies:
- To install with all dependencies:
```bash
pip install 'camel-ai[all]'
```
- To use the HuggingFace agents:
```bash
pip install 'camel-ai[huggingface-agent]'
```
- To enable RAG or use agent memory:
```bash
pip install 'camel-ai[tools]'
```
### From Source
Install `CAMEL` from source with poetry (Recommended):
```sh
# Make sure your python version is later than 3.10
# You can use pyenv to manage multiple python versions in your system
# Clone github repo
git clone https://github.com/camel-ai/camel.git
# Change directory into project directory
cd camel
# If you didn't install poetry before
pip install poetry # (Optional)
# We suggest using python 3.10
poetry env use python3.10 # (Optional)
# Activate CAMEL virtual environment
poetry shell
# Install the base CAMEL library
# It takes about 90 seconds
poetry install
# Install CAMEL with all dependencies
poetry install -E all # (Optional)
# Exit the virtual environment
exit
```
> [!TIP]
> If you encounter errors when running `poetry install`, it may be due to a cache-related problem. You can try running:
> ```sh
> poetry install --no-cache
> ```
Install `CAMEL` from source with conda and pip:
```sh
# Create a conda virtual environment
conda create --name camel python=3.10
# Activate CAMEL conda environment
conda activate camel
# Clone github repo
git clone -b v0.2.8 https://github.com/camel-ai/camel.git
# Change directory into project directory
cd camel
# Install CAMEL from source
pip install -e .
# Or if you want to use all other extra packages
pip install -e .[all] # (Optional)
```
### From Docker
Detailed guidance can be find [here](https://github.com/camel-ai/camel/blob/master/.container/README.md)
## Documentation
The [complete documentation](https://camel-ai.github.io/camel/) pages for the CAMEL package. Also, detailed tutorials for each part are provided below:
### Agents
Explore different types of agents, their roles, and their applications.
- **[Creating Your First Agent](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)**
- **[Creating Your First Agent Society](https://docs.camel-ai.org/cookbooks/create_your_first_agents_society.html)**
- **[Embodied Agents](https://docs.camel-ai.org/cookbooks/embodied_agents.html)**
- **[Critic Agents](https://docs.camel-ai.org/cookbooks/critic_agents_and_tree_search.html)**
---
### Key Modules
Core components and utilities to build, operate, and enhance CAMEL-AI agents and societies.
| Module | Description |
|:---|:---|
| **[Models](https://docs.camel-ai.org/key_modules/models.html)** | Model architectures and customization options for agent intelligence. |
| **[Messages](https://docs.camel-ai.org/key_modules/messages.html)** | Messaging protocols for agent communication. |
| **[Memory](https://docs.camel-ai.org/key_modules/memory.html)** | Memory storage and retrieval mechanisms. |
| **[Tools](https://docs.camel-ai.org/key_modules/tools.html)** | Tools integration for specialized agent tasks. |
| **[Prompts](https://docs.camel-ai.org/key_modules/prompts.html)** | Prompt engineering and customization. |
| **[Tasks](https://docs.camel-ai.org/key_modules/tasks.html)** | Task creation and management for agent workflows. |
| **[Loaders](https://docs.camel-ai.org/key_modules/loaders.html)** | Data loading tools for agent operation. |
| **[Storages](https://docs.camel-ai.org/key_modules/storages.html)** | Storage solutions for agent. |
| **[Society](https://docs.camel-ai.org/key_modules/society.html)** | Components for building agent societies and inter-agent collaboration. |
| **[Embeddings](https://docs.camel-ai.org/key_modules/embeddings.html)** | Embedding models for RAG. |
| **[Retrievers](https://docs.camel-ai.org/key_modules/retrievers.html)** | Retrieval methods for knowledge access. |
---
### Cookbooks
Practical guides and tutorials for implementing specific functionalities in CAMEL-AI agents and societies.
| Cookbook | Description |
|:---|:---|
| **[Creating Your First Agent](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)** | A step-by-step guide to building your first agent. |
| **[Creating Your First Agent Society](https://docs.camel-ai.org/cookbooks/create_your_first_agents_society.html)** | Learn to build a collaborative society of agents. |
| **[Society Cookbook](https://docs.camel-ai.org/cookbooks/agents_society.html)** | Advanced configurations for agent societies. |
| **[Model Speed Comparison Cookbook](https://docs.camel-ai.org/cookbooks/model_speed_comparison.html)** | Benchmarking models for performance. |
| **[Message Cookbook](https://docs.camel-ai.org/cookbooks/agents_message.html)** | Best practices for message handling in agents. |
| **[Tools Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_tools.html)** | Integrating tools for enhanced functionality. |
| **[Memory Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_memory.html)** | Implementing memory systems in agents. |
| **[RAG Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_rag.html)** | Recipes for Retrieval-Augmented Generation. |
| **[Prompting Cookbook](https://docs.camel-ai.org/cookbooks/agents_prompting.html)** | Techniques for effective prompt creation. |
| **[Task Generation Cookbook](https://docs.camel-ai.org/cookbooks/task_generation.html)** | Automating task generation for agents. |
| **[Graph RAG Cookbook](https://docs.camel-ai.org/cookbooks/knowledge_graph.html)** | Leveraging knowledge graphs with RAG. |
| **[Role-Playing Scraper for Report & Knowledge Graph Generation](https://docs.camel-ai.org/cookbooks/roleplaying_scraper.html)** | Create role-playing agents for data scraping and reporting. |
| **[Video Analysis](https://docs.camel-ai.org/cookbooks/video_analysis.html)** | Techniques for agents in video data analysis. |
| **[Track CAMEL Agents with AgentOps](https://docs.camel-ai.org/cookbooks/agents_tracking.html)** | Tools for tracking and managing agents in operations. |
| **[Create A Hackathon Judge Committee with Workforce](https://docs.camel-ai.org/cookbooks/workforce_judge_committee.html)** | Building a team of agents for collaborative judging. |
## Examples
First, you need to add your OpenAI API key to system environment variables. The method to do this depends on your operating system and the shell you're using.
**For Bash shell (Linux, macOS, Git Bash on Windows):**
```bash
# Export your OpenAI API key
export OPENAI_API_KEY=<insert your OpenAI API key>
OPENAI_API_BASE_URL=<inert your OpenAI API BASE URL> #(Should you utilize an OpenAI proxy service, kindly specify this)
```
**For Windows Command Prompt:**
```cmd
REM export your OpenAI API key
set OPENAI_API_KEY=<insert your OpenAI API key>
set OPENAI_API_BASE_URL=<inert your OpenAI API BASE URL> #(Should you utilize an OpenAI proxy service, kindly specify this)
```
**For Windows PowerShell:**
```powershell
# Export your OpenAI API key
$env:OPENAI_API_KEY="<insert your OpenAI API key>"
$env:OPENAI_API_BASE_URL="<inert your OpenAI API BASE URL>" #(Should you utilize an OpenAI proxy service, kindly specify this)
```
Replace `<insert your OpenAI API key>` with your actual OpenAI API key in each case. Make sure there are no spaces around the `=` sign.
Please note that the environment variable is session-specific. If you open a new terminal window or tab, you will need to set the API key again in that new session.
After setting the OpenAI API key, you can run the `role_playing.py` script. Find tasks for various assistant-user roles [here](https://drive.google.com/file/d/194PPaSTBR07m-PzjS-Ty6KlPLdFIPQDd/view?usp=share_link).
```bash
# You can change the role pair and initial prompt in role_playing.py
python examples/ai_society/role_playing.py
```
Also feel free to run any scripts below that interest you:
```bash
# You can change the role pair and initial prompt in these python files
# Examples of two agents role-playing
python examples/ai_society/role_playing.py
# The agent answers questions by utilizing code execution tools.
python examples/toolkits/code_execution_toolkit.py
# Generating a knowledge graph with an agent
python examples/knowledge_graph/knowledge_graph_agent_example.py
# Multiple agents collaborating to decompose and solve tasks
python examples/workforce/multiple_single_agents.py
# Use agent to generate creative image
python examples/vision/image_crafting.py
```
For additional feature examples, see the [`examples`](https://github.com/camel-ai/camel/tree/master/examples) directory.
## Utilize Various LLMs as Backends
For more details, please see our [`Models Documentation`](https://docs.camel-ai.org/key_modules/models.html#).
## Data (Hosted on Hugging Face)
| Dataset | Chat format | Instruction format | Chat format (translated) |
|----------------|-----------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|
| **AI Society** | [Chat format](https://huggingface.co/datasets/camel-ai/ai_society/blob/main/ai_society_chat.tar.gz) | [Instruction format](https://huggingface.co/datasets/camel-ai/ai_society/blob/main/ai_society_instructions.json) | [Chat format (translated)](https://huggingface.co/datasets/camel-ai/ai_society_translated) |
| **Code** | [Chat format](https://huggingface.co/datasets/camel-ai/code/blob/main/code_chat.tar.gz) | [Instruction format](https://huggingface.co/datasets/camel-ai/code/blob/main/code_instructions.json) | x |
| **Math** | [Chat format](https://huggingface.co/datasets/camel-ai/math) | x | x |
| **Physics** | [Chat format](https://huggingface.co/datasets/camel-ai/physics) | x | x |
| **Chemistry** | [Chat format](https://huggingface.co/datasets/camel-ai/chemistry) | x | x |
| **Biology** | [Chat format](https://huggingface.co/datasets/camel-ai/biology) | x | x |
## Visualizations of Instructions and Tasks
| Dataset | Instructions | Tasks |
|------------------|----------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|
| **AI Society** | [Instructions](https://atlas.nomic.ai/map/3a559a06-87d0-4476-a879-962656242452/db961915-b254-48e8-8e5c-917f827b74c6) | [Tasks](https://atlas.nomic.ai/map/cb96f41b-a6fd-4fe4-ac40-08e101714483/ae06156c-a572-46e9-8345-ebe18586d02b) |
| **Code** | [Instructions](https://atlas.nomic.ai/map/902d6ccb-0bbb-4294-83a8-1c7d2dae03c8/ace2e146-e49f-41db-a1f4-25a2c4be2457) | [Tasks](https://atlas.nomic.ai/map/efc38617-9180-490a-8630-43a05b35d22d/2576addf-a133-45d5-89a9-6b067b6652dd) |
| **Misalignment** | [Instructions](https://atlas.nomic.ai/map/5c491035-a26e-4a05-9593-82ffb2c3ab40/2bd98896-894e-4807-9ed8-a203ccb14d5e) | [Tasks](https://atlas.nomic.ai/map/abc357dd-9c04-4913-9541-63e259d7ac1f/825139a4-af66-427c-9d0e-f36b5492ab3f) |
## Implemented Research Ideas from Other Works
We implemented amazing research ideas from other works for you to build, compare and customize your agents. If you use any of these modules, please kindly cite the original works:
- `TaskCreationAgent`, `TaskPrioritizationAgent` and `BabyAGI` from *Nakajima et al.*: [Task-Driven Autonomous Agent](https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/). [[Example](https://github.com/camel-ai/camel/blob/master/examples/ai_society/babyagi_playing.py)]
## Other Research Works Based on Camel
- [Agent Trust](http://agent-trust.camel-ai.org/): Can Large Language Model Agents Simulate Human Trust Behavior?
- [CRAB](https://crab.camel-ai.org/): Cross-environment Agent Benchmark for Multimodal Language Model Agents.
- OASIS: Open Agents Social Interaction Simulations on a Large Scale.
We warmly invite you to use CAMEL for your impactful research.
## News
📢 Added the Workforce module to the 🐫 CAMEL framework! For more details, see the [post](https://x.com/CamelAIOrg/status/1851682063830720912). (Oct 31, 2024)
- Added subprocess support for Ollama and vLLM models. (Oct, 29, 2024)
- Integrated Firecrawl's Map into the 🐫 CAMEL framework. (Oct, 22, 2024)
- Integrated Nvidia's Llama-3.1-Nemotron-70b-Instruct! (Oct, 17, 2024)
- ...
- Released AI Society and Code dataset (April 2, 2023)
- Initial release of `CAMEL` python library (March 21, 2023)
## Citation
```
@inproceedings{li2023camel,
title={CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society},
author={Li, Guohao and Hammoud, Hasan Abed Al Kader and Itani, Hani and Khizbullin, Dmitrii and Ghanem, Bernard},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023}
}
```
## Acknowledgment
Special thanks to [Nomic AI](https://home.nomic.ai/) for giving us extended access to their data set exploration tool (Atlas).
We would also like to thank Haya Hammoud for designing the initial logo of our project.
## License
The source code is licensed under Apache 2.0.
## Contributing to CAMEL 🐫
We appreciate your interest in contributing to our open-source initiative. We provide a document of [contributing guidelines](https://github.com/camel-ai/camel/blob/master/CONTRIBUTING.md) which outlines the steps for contributing to CAMEL. Please refer to this guide to ensure smooth collaboration and successful contributions. 🤝🚀
## Contact
For more information please contact camel.ai.team@gmail.com.
[python-image]: https://img.shields.io/badge/Python-3.10%2C%203.11%2C%203.12-brightgreen.svg
[python-url]: https://www.python.org/
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[docs-image]: https://img.shields.io/badge/Documentation-grey.svg?logo=github
[docs-url]: https://camel-ai.github.io/camel/index.html
[star-image]: https://img.shields.io/github/stars/camel-ai/camel?label=stars&logo=github&color=brightgreen
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[huggingface-url]: https://huggingface.co/camel-ai
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[slack-url]: https://join.slack.com/t/camel-ai/shared_invite/zt-2g7xc41gy-_7rcrNNAArIP6sLQqldkqQ
[slack-image]: https://img.shields.io/badge/Slack-CAMEL--AI-blueviolet?logo=slack
[discord-url]: https://discord.camel-ai.org/
[discord-image]: https://img.shields.io/badge/Discord-CAMEL--AI-7289da?logo=discord&logoColor=white&color=7289da
[wechat-url]: https://ghli.org/camel/wechat.png
[wechat-image]: https://img.shields.io/badge/WeChat-CamelAIOrg-brightgreen?logo=wechat&logoColor=white
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"description": "[![Colab][colab-image]][colab-url]\n[![Hugging Face][huggingface-image]][huggingface-url]\n[![Slack][slack-image]][slack-url]\n[![Discord][discord-image]][discord-url]\n[![Wechat][wechat-image]][wechat-url]\n[![Twitter][twitter-image]][twitter-url]\n\n______________________________________________________________________\n\n# CAMEL: Finding the Scaling Laws of Agents\n\n[![Python Version][python-image]][python-url]\n[![PyTest Status][pytest-image]][pytest-url]\n[![Documentation][docs-image]][docs-url]\n[![Star][star-image]][star-url]\n[![Package License][package-license-image]][package-license-url]\n\n<p align=\"center\">\n <a href=\"https://github.com/camel-ai/camel#community\">Community</a> |\n <a href=\"https://github.com/camel-ai/camel#installation\">Installation</a> |\n <a href=\"https://camel-ai.github.io/camel/\">Documentation</a> |\n <a href=\"https://github.com/camel-ai/camel/tree/HEAD/examples\">Examples</a> |\n <a href=\"https://arxiv.org/abs/2303.17760\">Paper</a> |\n <a href=\"https://github.com/camel-ai/camel#citation\">Citation</a> |\n <a href=\"https://github.com/camel-ai/camel#contributing-to-camel-\">Contributing</a> |\n <a href=\"https://www.camel-ai.org/\">CAMEL-AI</a>\n</p>\n\n<p align=\"center\">\n <img src='https://raw.githubusercontent.com/camel-ai/camel/master/misc/logo_light.png' width=800>\n</p>\n\n\n## Community\n\ud83d\udc2b CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.\n\nJoin us ([*Discord*](https://discord.camel-ai.org/), [*WeChat*](https://ghli.org/camel/wechat.png) or [*Slack*](https://join.slack.com/t/camel-ai/shared_invite/zt-2g7xc41gy-_7rcrNNAArIP6sLQqldkqQ)) in pushing the boundaries of finding the scaling laws of agents.\n\n## What Can You Build With CAMEL?\n\n### \ud83e\udd16 Customize Agents\n- Customizable agents are the fundamental entities of the CAMEL architecture. CAMEL empowers you to customize agents using our modular components for specific tasks.\n\n### \u2699\ufe0f Build Multi-Agent Systems\n- We propose a multi-agent framework to address agents' autonomous cooperation challenges, guiding agents toward task completion while maintaining human intentions.\n\n### \ud83d\udcbb Practical Applications\n- The CAMEL framework serves as a generic infrastructure for a wide range of multi-agent applications, including task automation, data generation, and world simulations.\n\n\n## Why Should You Use CAMEL?\n\n1. Comprehensive Customization and Collaboration:\n\n - Integrates over 20 advanced model platforms (e.g., commercial models like OpenAI, open-source models such as Llama3, and self-deployment frameworks like Ollama.).\n\n - Supports extensive external tools (e.g., Search, Twitter, Github, Google Maps, Reddit, Slack utilities).\n - Includes memory and prompt components for deep customization.\n - Facilitates complex multi-agent systems with advanced collaboration features.\n\n\n2. User-Friendly with Transparent Internal Structure:\n - Designed for transparency and consistency in internal structure.\n\n - Offers comprehensive [tutorials and detailed docstrings](https://docs.camel-ai.org/) for all functions.\n - Ensures an approachable learning curve for newcomers.\n\n\n## Try It Yourself\nWe provide a [](https://colab.research.google.com/drive/1AzP33O8rnMW__7ocWJhVBXjKziJXPtim?usp=sharing) demo showcasing a conversation between two ChatGPT agents playing roles as a python programmer and a stock trader collaborating on developing a trading bot for stock market.\n\n<p align=\"center\">\n <img src='https://raw.githubusercontent.com/camel-ai/camel/master/misc/framework.png' width=800>\n</p>\n\n## Installation\n\n### From PyPI\n\nTo install the base CAMEL library:\n```bash\npip install camel-ai\n```\nSome features require extra dependencies:\n- To install with all dependencies:\n ```bash\n pip install 'camel-ai[all]'\n ```\n- To use the HuggingFace agents:\n ```bash\n pip install 'camel-ai[huggingface-agent]'\n ```\n- To enable RAG or use agent memory:\n ```bash\n pip install 'camel-ai[tools]'\n ```\n\n### From Source\n\nInstall `CAMEL` from source with poetry (Recommended):\n```sh\n# Make sure your python version is later than 3.10\n# You can use pyenv to manage multiple python versions in your system\n\n# Clone github repo\ngit clone https://github.com/camel-ai/camel.git\n\n# Change directory into project directory\ncd camel\n\n# If you didn't install poetry before\npip install poetry # (Optional)\n\n# We suggest using python 3.10\npoetry env use python3.10 # (Optional)\n\n# Activate CAMEL virtual environment\npoetry shell\n\n# Install the base CAMEL library\n# It takes about 90 seconds\npoetry install\n\n# Install CAMEL with all dependencies\npoetry install -E all # (Optional)\n\n# Exit the virtual environment\nexit\n```\n\n> [!TIP]\n> If you encounter errors when running `poetry install`, it may be due to a cache-related problem. You can try running:\n> ```sh\n> poetry install --no-cache\n> ```\n\n\nInstall `CAMEL` from source with conda and pip:\n```sh\n# Create a conda virtual environment\nconda create --name camel python=3.10\n\n# Activate CAMEL conda environment\nconda activate camel\n\n# Clone github repo\ngit clone -b v0.2.8 https://github.com/camel-ai/camel.git\n\n# Change directory into project directory\ncd camel\n\n# Install CAMEL from source\npip install -e .\n\n# Or if you want to use all other extra packages\npip install -e .[all] # (Optional)\n```\n\n### From Docker\n\nDetailed guidance can be find [here](https://github.com/camel-ai/camel/blob/master/.container/README.md)\n\n## Documentation\n\nThe [complete documentation](https://camel-ai.github.io/camel/) pages for the CAMEL package. Also, detailed tutorials for each part are provided below:\n\n### Agents\nExplore different types of agents, their roles, and their applications.\n\n- **[Creating Your First Agent](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)**\n- **[Creating Your First Agent Society](https://docs.camel-ai.org/cookbooks/create_your_first_agents_society.html)**\n- **[Embodied Agents](https://docs.camel-ai.org/cookbooks/embodied_agents.html)**\n- **[Critic Agents](https://docs.camel-ai.org/cookbooks/critic_agents_and_tree_search.html)**\n\n---\n\n### Key Modules\nCore components and utilities to build, operate, and enhance CAMEL-AI agents and societies.\n\n| Module | Description |\n|:---|:---|\n| **[Models](https://docs.camel-ai.org/key_modules/models.html)** | Model architectures and customization options for agent intelligence. |\n| **[Messages](https://docs.camel-ai.org/key_modules/messages.html)** | Messaging protocols for agent communication. |\n| **[Memory](https://docs.camel-ai.org/key_modules/memory.html)** | Memory storage and retrieval mechanisms. |\n| **[Tools](https://docs.camel-ai.org/key_modules/tools.html)** | Tools integration for specialized agent tasks. |\n| **[Prompts](https://docs.camel-ai.org/key_modules/prompts.html)** | Prompt engineering and customization. |\n| **[Tasks](https://docs.camel-ai.org/key_modules/tasks.html)** | Task creation and management for agent workflows. |\n| **[Loaders](https://docs.camel-ai.org/key_modules/loaders.html)** | Data loading tools for agent operation. |\n| **[Storages](https://docs.camel-ai.org/key_modules/storages.html)** | Storage solutions for agent. |\n| **[Society](https://docs.camel-ai.org/key_modules/society.html)** | Components for building agent societies and inter-agent collaboration. |\n| **[Embeddings](https://docs.camel-ai.org/key_modules/embeddings.html)** | Embedding models for RAG. |\n| **[Retrievers](https://docs.camel-ai.org/key_modules/retrievers.html)** | Retrieval methods for knowledge access. |\n---\n\n### Cookbooks\nPractical guides and tutorials for implementing specific functionalities in CAMEL-AI agents and societies.\n\n| Cookbook | Description |\n|:---|:---|\n| **[Creating Your First Agent](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)** | A step-by-step guide to building your first agent. |\n| **[Creating Your First Agent Society](https://docs.camel-ai.org/cookbooks/create_your_first_agents_society.html)** | Learn to build a collaborative society of agents. |\n| **[Society Cookbook](https://docs.camel-ai.org/cookbooks/agents_society.html)** | Advanced configurations for agent societies. |\n| **[Model Speed Comparison Cookbook](https://docs.camel-ai.org/cookbooks/model_speed_comparison.html)** | Benchmarking models for performance. |\n| **[Message Cookbook](https://docs.camel-ai.org/cookbooks/agents_message.html)** | Best practices for message handling in agents. |\n| **[Tools Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_tools.html)** | Integrating tools for enhanced functionality. |\n| **[Memory Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_memory.html)** | Implementing memory systems in agents. |\n| **[RAG Cookbook](https://docs.camel-ai.org/cookbooks/agents_with_rag.html)** | Recipes for Retrieval-Augmented Generation. |\n| **[Prompting Cookbook](https://docs.camel-ai.org/cookbooks/agents_prompting.html)** | Techniques for effective prompt creation. |\n| **[Task Generation Cookbook](https://docs.camel-ai.org/cookbooks/task_generation.html)** | Automating task generation for agents. |\n| **[Graph RAG Cookbook](https://docs.camel-ai.org/cookbooks/knowledge_graph.html)** | Leveraging knowledge graphs with RAG. |\n| **[Role-Playing Scraper for Report & Knowledge Graph Generation](https://docs.camel-ai.org/cookbooks/roleplaying_scraper.html)** | Create role-playing agents for data scraping and reporting. |\n| **[Video Analysis](https://docs.camel-ai.org/cookbooks/video_analysis.html)** | Techniques for agents in video data analysis. |\n| **[Track CAMEL Agents with AgentOps](https://docs.camel-ai.org/cookbooks/agents_tracking.html)** | Tools for tracking and managing agents in operations. |\n| **[Create A Hackathon Judge Committee with Workforce](https://docs.camel-ai.org/cookbooks/workforce_judge_committee.html)** | Building a team of agents for collaborative judging. |\n\n## Examples\n\nFirst, you need to add your OpenAI API key to system environment variables. The method to do this depends on your operating system and the shell you're using.\n\n**For Bash shell (Linux, macOS, Git Bash on Windows):**\n\n```bash\n# Export your OpenAI API key\nexport OPENAI_API_KEY=<insert your OpenAI API key>\nOPENAI_API_BASE_URL=<inert your OpenAI API BASE URL> #(Should you utilize an OpenAI proxy service, kindly specify this)\n```\n\n**For Windows Command Prompt:**\n\n```cmd\nREM export your OpenAI API key\nset OPENAI_API_KEY=<insert your OpenAI API key>\nset OPENAI_API_BASE_URL=<inert your OpenAI API BASE URL> #(Should you utilize an OpenAI proxy service, kindly specify this)\n```\n\n**For Windows PowerShell:**\n\n```powershell\n# Export your OpenAI API key\n$env:OPENAI_API_KEY=\"<insert your OpenAI API key>\"\n$env:OPENAI_API_BASE_URL=\"<inert your OpenAI API BASE URL>\" #(Should you utilize an OpenAI proxy service, kindly specify this)\n```\n\nReplace `<insert your OpenAI API key>` with your actual OpenAI API key in each case. Make sure there are no spaces around the `=` sign.\n\n\nPlease note that the environment variable is session-specific. If you open a new terminal window or tab, you will need to set the API key again in that new session.\n\nAfter setting the OpenAI API key, you can run the `role_playing.py` script. Find tasks for various assistant-user roles [here](https://drive.google.com/file/d/194PPaSTBR07m-PzjS-Ty6KlPLdFIPQDd/view?usp=share_link).\n\n```bash\n# You can change the role pair and initial prompt in role_playing.py\npython examples/ai_society/role_playing.py\n```\n\nAlso feel free to run any scripts below that interest you:\n\n```bash\n# You can change the role pair and initial prompt in these python files\n\n# Examples of two agents role-playing\npython examples/ai_society/role_playing.py\n\n# The agent answers questions by utilizing code execution tools.\npython examples/toolkits/code_execution_toolkit.py\n\n# Generating a knowledge graph with an agent\npython examples/knowledge_graph/knowledge_graph_agent_example.py \n\n# Multiple agents collaborating to decompose and solve tasks\npython examples/workforce/multiple_single_agents.py \n\n# Use agent to generate creative image\npython examples/vision/image_crafting.py\n```\nFor additional feature examples, see the [`examples`](https://github.com/camel-ai/camel/tree/master/examples) directory.\n\n## Utilize Various LLMs as Backends\n\nFor more details, please see our [`Models Documentation`](https://docs.camel-ai.org/key_modules/models.html#).\n\n## Data (Hosted on Hugging Face)\n| Dataset | Chat format | Instruction format | Chat format (translated) |\n|----------------|-----------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|\n| **AI Society** | [Chat format](https://huggingface.co/datasets/camel-ai/ai_society/blob/main/ai_society_chat.tar.gz) | [Instruction format](https://huggingface.co/datasets/camel-ai/ai_society/blob/main/ai_society_instructions.json) | [Chat format (translated)](https://huggingface.co/datasets/camel-ai/ai_society_translated) |\n| **Code** | [Chat format](https://huggingface.co/datasets/camel-ai/code/blob/main/code_chat.tar.gz) | [Instruction format](https://huggingface.co/datasets/camel-ai/code/blob/main/code_instructions.json) | x |\n| **Math** | [Chat format](https://huggingface.co/datasets/camel-ai/math) | x | x |\n| **Physics** | [Chat format](https://huggingface.co/datasets/camel-ai/physics) | x | x |\n| **Chemistry** | [Chat format](https://huggingface.co/datasets/camel-ai/chemistry) | x | x |\n| **Biology** | [Chat format](https://huggingface.co/datasets/camel-ai/biology) | x | x |\n\n## Visualizations of Instructions and Tasks\n\n| Dataset | Instructions | Tasks |\n|------------------|----------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|\n| **AI Society** | [Instructions](https://atlas.nomic.ai/map/3a559a06-87d0-4476-a879-962656242452/db961915-b254-48e8-8e5c-917f827b74c6) | [Tasks](https://atlas.nomic.ai/map/cb96f41b-a6fd-4fe4-ac40-08e101714483/ae06156c-a572-46e9-8345-ebe18586d02b) |\n| **Code** | [Instructions](https://atlas.nomic.ai/map/902d6ccb-0bbb-4294-83a8-1c7d2dae03c8/ace2e146-e49f-41db-a1f4-25a2c4be2457) | [Tasks](https://atlas.nomic.ai/map/efc38617-9180-490a-8630-43a05b35d22d/2576addf-a133-45d5-89a9-6b067b6652dd) |\n| **Misalignment** | [Instructions](https://atlas.nomic.ai/map/5c491035-a26e-4a05-9593-82ffb2c3ab40/2bd98896-894e-4807-9ed8-a203ccb14d5e) | [Tasks](https://atlas.nomic.ai/map/abc357dd-9c04-4913-9541-63e259d7ac1f/825139a4-af66-427c-9d0e-f36b5492ab3f) |\n\n## Implemented Research Ideas from Other Works\nWe implemented amazing research ideas from other works for you to build, compare and customize your agents. If you use any of these modules, please kindly cite the original works:\n- `TaskCreationAgent`, `TaskPrioritizationAgent` and `BabyAGI` from *Nakajima et al.*: [Task-Driven Autonomous Agent](https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/). [[Example](https://github.com/camel-ai/camel/blob/master/examples/ai_society/babyagi_playing.py)]\n\n## Other Research Works Based on Camel\n- [Agent Trust](http://agent-trust.camel-ai.org/): Can Large Language Model Agents Simulate Human Trust Behavior?\n\n- [CRAB](https://crab.camel-ai.org/): Cross-environment Agent Benchmark for Multimodal Language Model Agents.\n\n- OASIS: Open Agents Social Interaction Simulations on a Large Scale.\n\nWe warmly invite you to use CAMEL for your impactful research.\n\n## News\n\ud83d\udce2 Added the Workforce module to the \ud83d\udc2b CAMEL framework! For more details, see the [post](https://x.com/CamelAIOrg/status/1851682063830720912). (Oct 31, 2024)\n- Added subprocess support for Ollama and vLLM models. (Oct, 29, 2024)\n- Integrated Firecrawl's Map into the \ud83d\udc2b CAMEL framework. (Oct, 22, 2024)\n- Integrated Nvidia's Llama-3.1-Nemotron-70b-Instruct! (Oct, 17, 2024)\n- ...\n- Released AI Society and Code dataset (April 2, 2023)\n- Initial release of `CAMEL` python library (March 21, 2023)\n\n## Citation\n```\n@inproceedings{li2023camel,\n title={CAMEL: Communicative Agents for \"Mind\" Exploration of Large Language Model Society},\n author={Li, Guohao and Hammoud, Hasan Abed Al Kader and Itani, Hani and Khizbullin, Dmitrii and Ghanem, Bernard},\n booktitle={Thirty-seventh Conference on Neural Information Processing Systems},\n year={2023}\n}\n```\n## Acknowledgment\nSpecial thanks to [Nomic AI](https://home.nomic.ai/) for giving us extended access to their data set exploration tool (Atlas).\n\nWe would also like to thank Haya Hammoud for designing the initial logo of our project.\n\n## License\n\nThe source code is licensed under Apache 2.0.\n\n## Contributing to CAMEL \ud83d\udc2b\nWe appreciate your interest in contributing to our open-source initiative. We provide a document of [contributing guidelines](https://github.com/camel-ai/camel/blob/master/CONTRIBUTING.md) which outlines the steps for contributing to CAMEL. Please refer to this guide to ensure smooth collaboration and successful contributions. \ud83e\udd1d\ud83d\ude80\n\n## Contact\nFor more information please contact camel.ai.team@gmail.com.\n\n[python-image]: https://img.shields.io/badge/Python-3.10%2C%203.11%2C%203.12-brightgreen.svg\n[python-url]: https://www.python.org/\n[pytest-image]: https://github.com/camel-ai/camel/actions/workflows/pytest_package.yml/badge.svg\n[pytest-url]: https://github.com/camel-ai/camel/actions/workflows/pytest_package.yml\n[docs-image]: https://img.shields.io/badge/Documentation-grey.svg?logo=github\n[docs-url]: https://camel-ai.github.io/camel/index.html\n[star-image]: https://img.shields.io/github/stars/camel-ai/camel?label=stars&logo=github&color=brightgreen\n[star-url]: https://github.com/camel-ai/camel/stargazers\n[package-license-image]: https://img.shields.io/badge/License-Apache_2.0-blue.svg\n[package-license-url]: https://github.com/camel-ai/camel/blob/master/licenses/LICENSE\n\n[colab-url]: https://colab.research.google.com/drive/1AzP33O8rnMW__7ocWJhVBXjKziJXPtim?usp=sharing\n[colab-image]: https://colab.research.google.com/assets/colab-badge.svg\n[huggingface-url]: https://huggingface.co/camel-ai\n[huggingface-image]: https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-CAMEL--AI-ffc107?color=ffc107&logoColor=white\n[slack-url]: https://join.slack.com/t/camel-ai/shared_invite/zt-2g7xc41gy-_7rcrNNAArIP6sLQqldkqQ\n[slack-image]: https://img.shields.io/badge/Slack-CAMEL--AI-blueviolet?logo=slack\n[discord-url]: https://discord.camel-ai.org/\n[discord-image]: https://img.shields.io/badge/Discord-CAMEL--AI-7289da?logo=discord&logoColor=white&color=7289da\n[wechat-url]: https://ghli.org/camel/wechat.png\n[wechat-image]: https://img.shields.io/badge/WeChat-CamelAIOrg-brightgreen?logo=wechat&logoColor=white\n[twitter-url]: https://twitter.com/CamelAIOrg\n[twitter-image]: https://img.shields.io/twitter/follow/CamelAIOrg?style=social&color=brightgreen&logo=twitter\n",
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