# CAMEL — Multi-Agent and Tooling Library

> CAMEL is an open-source library for multi-agent systems and tools. Install `camel-ai`, then compose agents, tools, and optional web helpers in Python.

## Install

Save as a script file and run:

# CAMEL — Multi-Agent and Tooling Library

> CAMEL is an open-source library for multi-agent systems and tools. Install `camel-ai`, then compose agents, tools, and optional web helpers in Python.

## Quick Use

1. Install:
   ```bash
   pip install camel-ai
   ```
2. Run:
   ```bash
   python -c "import camel; print('camel-ai import ok')"
   ```
3. Verify:
   - Follow one README example end-to-end and confirm the agent/tool pipeline runs without manual parsing


---

## Intro

CAMEL is an open-source library for multi-agent systems and tools. Install `camel-ai`, then compose agents, tools, and optional web helpers in Python.

- **Best for:** Python teams exploring multi-agent patterns who want a batteries-included library with tools, examples, and extensible building blocks
- **Works with:** Python, `pip install camel-ai`, optional extras like `camel-ai[web_tools]` (repo), agent composition and tools
- **Setup time:** 13 minutes


### Quantitative Notes

- Install: `pip install camel-ai` (repo)
- Optional tools extra: `pip install 'camel-ai[web_tools]'` (repo)
- Setup time ~13 minutes


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## Practical Notes

Use CAMEL when you need a practical playground for multi-agent patterns: role-based collaboration, tool augmentation, and reusable components. Start small: one agent + one tool + one success metric. Once the loop is stable, add a second agent for critique/verification. In production, keep tool interfaces strict and log everything needed to reproduce failures.

**Safety note:** Multi-agent systems amplify mistakes—use verification agents and strict tool schemas to limit blast radius.

### FAQ

**Q: Is CAMEL an agent framework or a toolbox?**
A: Both. It provides agent primitives and a growing set of tools/integrations with examples to compose systems.

**Q: Do I need all extras?**
A: No. Start with the base install and add extras (like web tools) only when your workflow needs them.

**Q: How do I keep runs deterministic?**
A: Fix models and temperatures, log prompts/outputs, and wrap tool calls with explicit schemas and validators.

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## Source & Thanks

> GitHub: https://github.com/camel-ai/camel
> Owner avatar: https://avatars.githubusercontent.com/u/134388954?v=4
> License (SPDX): Apache-2.0
> GitHub stars (verified via `api.github.com/repos/camel-ai/camel`): 16,917


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<!-- ZH -->

# CAMEL——多 Agent 与工具调用 Python 库

> CAMEL 是开源的多 Agent 与工具调用库，提供丰富的 agent 组合与工具集成。安装 `camel-ai`（可选 extras）后，即可在 Python 中搭建多 agent 协作与 web 工具能力。

## 快速使用

1. 安装：
   ```bash
   pip install camel-ai
   ```
2. 运行：
   ```bash
   python -c "import camel; print('camel-ai import ok')"
   ```
3. 验证：
   - Follow one README example end-to-end and confirm the agent/tool pipeline runs without manual parsing


---

## 简介

CAMEL 是开源的多 Agent 与工具调用库，提供丰富的 agent 组合与工具集成。安装 `camel-ai`（可选 extras）后，即可在 Python 中搭建多 agent 协作与 web 工具能力。

- **适合谁（Best for）:** 在探索多 agent 模式的 Python 团队，希望用一个“电池齐全”的库快速试验并可扩展落地
- **兼容工具（Works with）:** Python、`pip install camel-ai`、可选 extras（如 `camel-ai[web_tools]`，仓库）、agent 组合与工具能力
- **安装时间（Setup time）:** 13 分钟


### 量化信息

- 安装：`pip install camel-ai`（仓库）
- 工具扩展：`pip install 'camel-ai[web_tools]'`（仓库）
- 装机约 13 分钟


---

## 实战要点

当你想要一个可落地的多 agent 试验场时，CAMEL 很合适：角色协作、工具增强、可复用组件都在一个库里。先从小闭环开始：一个 agent + 一个工具 + 一个成功指标；闭环稳定后再加第二个 agent 做复核/验证。上生产要把工具接口收紧，并记录复现失败所需的全部信息。

**安全提示：** 多 agent 会放大错误影响——用验证/复核 agent + 严格工具 schema 控制爆炸半径。

### FAQ

**Q: CAMEL 是框架还是工具箱？**
A: 两者都有：既提供 agent 原语，也提供不断扩展的工具/集成与示例，便于组合系统。

**Q: 需要装所有 extras 吗？**
A: 不需要。先装基础包，等工作流确实需要再加 extras（例如 web 工具）。

**Q: 怎样让运行更可复现？**
A: 固定模型与 temperature，记录 prompt/输出，并给工具调用加明确 schema 与校验器。

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## 来源与感谢

> GitHub：https://github.com/camel-ai/camel
> Owner avatar：https://avatars.githubusercontent.com/u/134388954?v=4
> 许可证（SPDX）：Apache-2.0
> GitHub stars（已通过 `api.github.com/repos/camel-ai/camel` 核验）：16,917


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Source: https://tokrepo.com/en/workflows/camel-multi-agent-and-tooling-library
Author: Agent Toolkit