--- title: "camel" type: "tool" slug: "camel-ai-camel" canonical_url: "https://www.graphcanon.com/tools/camel-ai-camel" github_url: "https://github.com/camel-ai/camel" homepage_url: "https://docs.camel-ai.org/" stars: 17338 forks: 1988 primary_language: "Python" license: "Apache-2.0" categories: ["ai-agents"] tags: ["communicative-ai", "deep-learning", "artificial-intelligence", "ai-societies", "large-language-models", "cooperative-ai", "multi-agent-systems", "agent"] updated_at: "2026-07-07T18:28:33.45325+00:00" --- # camel > CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. An open-source community for researching scaling laws in agents using various types of agents, tasks, prompts, models, and simulated environments. ## Facts - Repository: https://github.com/camel-ai/camel - Homepage: https://docs.camel-ai.org/ - Stars: 17,338 · Forks: 1,988 · Open issues: 449 · Watchers: 121 - Primary language: Python - License: Apache-2.0 - Last pushed: 2026-07-07T10:28:35+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) ## Tags communicative-ai, deep-learning, artificial-intelligence, ai-societies, large language models, cooperative-ai, multi-agent-systems, agent ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117) - [langchain](/tools/langchain-ai-langchain.md) - The agent engineering platform. (★ 141,211) ## README (excerpt) ```text
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[Community](https://github.com/camel-ai/camel#community) | [Installation](https://github.com/camel-ai/camel#installation) | [Examples](https://github.com/camel-ai/camel/tree/HEAD/examples) | [Paper](https://arxiv.org/abs/2303.17760) | [Citation](https://github.com/camel-ai/camel#citation) | [Contributing](https://github.com/camel-ai/camel#contributing-to-camel-) | [CAMEL-AI](https://www.camel-ai.org/)

🐫 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/) or [*WeChat*](https://ghli.org/camel/wechat.png)) in pushing the boundaries of finding the scaling laws of agents. 🌟 Star CAMEL on GitHub and be instantly notified of new releases.
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Table of contents
- [CAMEL Framework Design Principles](#camel-framework-design-principles) - [Why Use CAMEL for Your Research?](#why-use-camel-for-your-research) - [What Can You Build With CAMEL?](#what-can-you-build-with-camel) - [Data Generation](#1-data-generation) - [Task Automation](#2-task-automation) - [World Simulation](#3-world-simulation) - [Quick Start](#quick-start) - [Starting with ChatAgent](#starting-with-chatagent) - [Seeking Help](#seeking-help) - [Tech Stack](#tech-stack) - [Research](#research) - [Synthetic Datasets](#synthetic-datasets) - [Cookbooks (Usecases)](#cookbooks-usecases) - [Basic Concepts](#1-basic-concepts) - [Advanced Features](#2-advanced-features) - [Model Training & Data Generation](#3-model-training--data-generation) - [Multi-Agent Systems & Applications](#4-multi-agent-systems--applications) - [Data Processing](#5-data-processing) - [Real-World Usecases](#real-world-usecases) - [🧱 Built with CAMEL (Real-world Producs & Research)](#-built-with-camel-real-world-producs--research) - [Research Projects](#research-projects) - [Product Projects](#product-projects) - [🗓️ Events](#️-events) - [Contributing to CAMEL](#contributing-to-camel) - [Community & Contact](#community--contact) - [Citation](#citation) - [Acknowledgment](#acknowledgment) - [License](#license) ####
## CAMEL Framework Design Principles

🧬 Evolvability

The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.

📈 Scalability

The framework is designed to support systems with millions of agents, ensuring efficient coordination, communication, and resource ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/camel-ai-camel`](/api/graphcanon/tools/camel-ai-camel) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_