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Install `camel-ai`, then compose agents, tools, and optional web helpers in Python.","8a910fec-3180-11f1-9bc6-00163e2b0d79","Agent Toolkit","https:\u002F\u002Ftokrepo.com\u002Fapple-touch-icon.png",0,"",13,"en",[17],{"id":18,"step_order":19,"title":20,"description":13,"prompt_template":21,"variables":13,"depends_on":22,"expected_output":13},3655,1,"Asset","# CAMEL — Multi-Agent and Tooling Library\n\n> 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.\n\n## Quick Use\n\n1. Install:\n   ```bash\n   pip install camel-ai\n   ```\n2. Run:\n   ```bash\n   python -c \"import camel; print('camel-ai import ok')\"\n   ```\n3. Verify:\n   - Follow one README example end-to-end and confirm the agent\u002Ftool pipeline runs without manual parsing\n\n\n---\n\n## Intro\n\nCAMEL is an open-source library for multi-agent systems and tools. Install `camel-ai`, then compose agents, tools, and optional web helpers in Python.\n\n- **Best for:** Python teams exploring multi-agent patterns who want a batteries-included library with tools, examples, and extensible building blocks\n- **Works with:** Python, `pip install camel-ai`, optional extras like `camel-ai[web_tools]` (repo), agent composition and tools\n- **Setup time:** 13 minutes\n\n\n### Quantitative Notes\n\n- Install: `pip install camel-ai` (repo)\n- Optional tools extra: `pip install 'camel-ai[web_tools]'` (repo)\n- Setup time ~13 minutes\n\n\n---\n\n## Practical Notes\n\nUse 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\u002Fverification. In production, keep tool interfaces strict and log everything needed to reproduce failures.\n\n**Safety note:** Multi-agent systems amplify mistakes—use verification agents and strict tool schemas to limit blast radius.\n\n### FAQ\n\n**Q: Is CAMEL an agent framework or a toolbox?**\nA: Both. It provides agent primitives and a growing set of tools\u002Fintegrations with examples to compose systems.\n\n**Q: Do I need all extras?**\nA: No. Start with the base install and add extras (like web tools) only when your workflow needs them.\n\n**Q: How do I keep runs deterministic?**\nA: Fix models and temperatures, log prompts\u002Foutputs, and wrap tool calls with explicit schemas and validators.\n\n---\n\n## Source & Thanks\n\n> GitHub: https:\u002F\u002Fgithub.com\u002Fcamel-ai\u002Fcamel\n> Owner avatar: https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F134388954?v=4\n> License (SPDX): Apache-2.0\n> GitHub stars (verified via `api.github.com\u002Frepos\u002Fcamel-ai\u002Fcamel`): 16,917\n\n\n---\n\n\u003C!-- ZH -->\n\n# CAMEL——多 Agent 与工具调用 Python 库\n\n> 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。\n\n## 快速使用\n\n1. 安装：\n   ```bash\n   pip install camel-ai\n   ```\n2. 运行：\n   ```bash\n   python -c \"import camel; print('camel-ai import ok')\"\n   ```\n3. 验证：\n   - Follow one README example end-to-end and confirm the agent\u002Ftool pipeline runs without manual parsing\n\n\n---\n\n## 简介\n\nCAMEL 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。\n\n- **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\n- **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\n- **安装时间（Setup time）:** 13 分钟\n\n\n### 量化信息\n\n- 安装：`pip install camel-ai`（仓库）\n- 工具扩展：`pip install 'camel-ai[web_tools]'`（仓库）\n- 装机约 13 分钟\n\n\n---\n\n## 实战要点\n\n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\u002F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。\n\n**安全提示：** 多 agent 会放大错误影响——用验证\u002F复核 agent + 严格工具 schema 控制爆炸半径。\n\n### FAQ\n\n**Q: CAMEL 是框架还是工具箱？**\nA: 两者都有：既提供 agent 原语，也提供不断扩展的工具\u002F集成与示例，便于组合系统。\n\n**Q: 需要装所有 extras 吗？**\nA: 不需要。先装基础包，等工作流确实需要再加 extras（例如 web 工具）。\n\n**Q: 怎样让运行更可复现？**\nA: 固定模型与 temperature，记录 prompt\u002F输出，并给工具调用加明确 schema 与校验器。\n\n---\n\n## 来源与感谢\n\n> GitHub：https:\u002F\u002Fgithub.com\u002Fcamel-ai\u002Fcamel\n> Owner avatar：https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F134388954?v=4\n> 许可证（SPDX）：Apache-2.0\n> GitHub stars（已通过 `api.github.com\u002Frepos\u002Fcamel-ai\u002Fcamel` 核验）：16,917\n","0",[24],{"id":25,"name":26,"slug":27,"icon":28},11,"Scripts","script","📜",false,"2ae2e394f3bd44a57e5a584e37559971070e88eeeae1ac417ff1fbc99d713945",[32,33,34],"claude_code","codex","gemini_cli","single","README.md",{"executes_code":29,"modifies_global_config":29,"requires_secrets":38,"uses_absolute_paths":29,"network_access":29},null,{"npm":40,"pip":41,"brew":44,"system":45},[],[42,43],"camel-ai","camel-ai[web_tools]",[],[],{"commands":47,"expected_files":48},[],[20],{"asset_kind":27,"target_tools":50,"install_mode":35,"entrypoint":36,"risk_profile":51,"dependencies":52,"content_hash":30,"verification":57},[32,33,34],{"executes_code":29,"modifies_global_config":29,"requires_secrets":38,"uses_absolute_paths":29,"network_access":29},{"npm":53,"pip":54,"brew":55,"system":56},[],[42,43],[],[],{"commands":58,"expected_files":59},[],[20],{"target":33,"score":61,"status":62,"policy":62,"why":63,"asset_kind":27,"install_mode":35},29,"stage_only",[64,65,66,67,68,69,70],"target_tools includes codex","asset_kind script","install_mode single","markdown-only","policy stage_only","asset_kind script is not activated directly for Codex","trust established",{"author_trust_level":72,"verified_publisher":29,"asset_signed_hash":30,"signature_status":73,"install_count":12,"report_count":12,"dangerous_capability_badges":74,"review_status":75,"signals":76},"established","hash_only",[27],"unreviewed",[77,78],"author has published assets","content hash available",{"owner_uuid":9,"owner_name":10,"source_url":80,"content_hash":30,"visibility":19,"created_at":81,"updated_at":82},"https:\u002F\u002Ftokrepo.com\u002Fen\u002Fworkflows\u002Fcamel-multi-agent-and-tooling-library","2026-05-12 00:58:31","2026-05-14 07:07:06",[84,151,197,241],{"id":85,"uuid":86,"slug":87,"title":88,"description":89,"author_id":90,"author_name":91,"author_avatar":11,"token_estimate":92,"time_saved":12,"model_used":93,"fork_count":12,"vote_count":12,"view_count":94,"parent_id":12,"parent_uuid":13,"lang_type":15,"steps":95,"tags":96,"has_voted":29,"visibility":19,"share_token":13,"is_featured":19,"content_hash":98,"asset_kind":99,"target_tools":100,"install_mode":35,"entrypoint":88,"risk_profile":103,"dependencies":105,"verification":110,"agent_metadata":113,"agent_fit":125,"trust":133,"provenance":141,"created_at":143,"updated_at":144,"__relatedScore":145,"__relatedReasons":146,"__sharedTags":149},295,"23732313-ea97-4319-b7a5-19dcddd7e97c","camel-multi-agent-framework-scale-23732313","CAMEL — Multi-Agent Framework at Scale","CAMEL is a multi-agent framework for studying scaling laws of AI agents. 16.6K+ GitHub stars. 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