{"data":{"slug":"camel-ai-camel","name":"camel","tagline":"CAMEL: The first and the best multi-agent framework","github_url":"https://github.com/camel-ai/camel","owner":"camel-ai","repo":"camel","owner_avatar_url":"https://avatars.githubusercontent.com/u/134388954?v=4","primary_language":"Python","stars":17592,"forks":2042,"topics":["agent","ai-societies","artificial-intelligence","communicative-ai","cooperative-ai","deep-learning","large-language-models","multi-agent-systems","natural-language-processing"],"archived":false,"github_pushed_at":"2026-08-14T17:34:44+00:00","maintenance_label":"Very active","stars_delta_30d":178,"url":"https://www.graphcanon.com/tools/camel-ai-camel","markdown_url":"https://www.graphcanon.com/tools/camel-ai-camel.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/camel-ai-camel","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=camel-ai-camel","description":"🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org","homepage_url":"https://docs.camel-ai.org/","license":"Apache-2.0","open_issues":471,"watchers":121,"ai_summary":"CAMEL provides a robust multi-agent framework for developing AI agents that can communicate, collaborate, and learn from each other.","readme_excerpt":"## Quick Start\n\nInstalling CAMEL is a breeze thanks to its availability on PyPI. Simply open your terminal and run:\n\n```bash\npip install camel-ai\n```\n\n---\n\n### 1 Infrastructure Automation\n\n| Usecase                                                      | Description                                                  |\n| :----------------------------------------------------------- | :----------------------------------------------------------- |\n| **[ACI MCP](https://github.com/camel-ai/camel/tree/master/examples/usecases/aci_mcp)** | Real-world usecases demonstrating how CAMEL’s multi-agent framework enables real business value across infrastructure automation, productivity workflows, retrieval-augmented conversations, intelligent document/video analysis, and collaborative research. |\n| **[Cloudflare MCP CAMEL](https://github.com/camel-ai/camel/tree/master/examples/usecases/cloudfare_mcp_camel)** | Intelligent agents manage Cloudflare resources dynamically, enabling scalable and efficient cloud security and performance tuning. |\n\n---\n\n## License\n\nThe source code is licensed under Apache 2.0.","github_created_at":"2023-03-17T21:41:54+00:00","created_at":"2026-07-07T17:33:28.906187+00:00","updated_at":"2026-08-17T00:02:14.294186+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"communicative-ai","name":"communicative-ai"},{"slug":"cooperative-ai","name":"cooperative-ai"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"infrastruture-automation","name":"infrastruture-automation"},{"slug":"large-language-models","name":"large language models"},{"slug":"multi-agent-systems","name":"multi-agent-systems"},{"slug":"natural-language-processing","name":"natural-language-processing"}],"trust":{"provenance":{"is_fork":false,"github_id":615510678,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-17T00:02:13.497Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":1,"days_since_push":2,"last_release_at":"2026-07-13T11:24:37Z","stars_delta_30d":178,"open_issues_delta_30d":4},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:01:07.664Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-17T00:02:13.966Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-17T00:02:13.966Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-17T00:02:13.966Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["You should consider using CAMEL if you are involved in developing scenarios where multiple AI agents need to collaborate effectively. It is well-suited for real-world applications such as managing IT/","Choose CAMEL when you aim to leverage a comprehensive framework that supports deep learning, large language models, and natural language processing within a collaborative agent environment."],"when_not_to_use":["Avoid using CAMEL if your project does not require interactions among multiple agents or if scalability of the multi-agent system is not a priority.","Do not opt for CAMEL when you need focused single-agent AI capabilities, as its design centers on multi-agent environments and may impose unnecessary complexity."],"source":"enrich:decision_facts","observed_at":"2026-07-11T14:39:42.439Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'."},{"label":"Adopt for","value":"CAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning."},{"label":"License detail","value":"The project uses the Apache 2.0 license, allowing free use, modification, and distribution. It comes with no warranty."}]}}