{"data":{"slug":"dtyq-magic","name":"magic","tagline":"Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)","github_url":"https://github.com/dtyq/magic","owner":"dtyq","repo":"magic","owner_avatar_url":"https://avatars.githubusercontent.com/u/144179893?v=4","primary_language":"TypeScript","stars":4926,"forks":539,"topics":["agent","agi","ai","gpt","llm","low-code","mcp","no-code","sandbox","super-magic","workflow"],"archived":false,"github_pushed_at":"2026-06-11T07:00:17+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/dtyq-magic","markdown_url":"https://www.graphcanon.com/tools/dtyq-magic.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dtyq-magic","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dtyq-magic","description":"Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)","homepage_url":"https://www.magicrew.ai/","license":"Other","open_issues":10,"watchers":36,"ai_summary":null,"readme_excerpt":"### 5. Granular Cost Control\n\nAn enterprise-grade cost compass lets you set precise **daily budgets per department, per user, and per Agent**. AI spending becomes predictable and controllable — every dollar justified.\n\n---\n\n### Self-Hosted Deployment\n\n**Requirements:** Docker + curl. Supports macOS and Linux (Windows support is coming soon).\n\n```bash\ncurl -fsSL https://getmagicrew.sh | bash\n```\n\nThe script handles everything — cluster creation, infrastructure, and service deployment. Once complete:\n\n- Web UI: **http://localhost:38080**\n- Teardown: `magicrew teardown`\n\n→ [Full deployment guide](./docs/en/development/deploy/docker.md)\n\n---\n\n## 📄 License\n\nThis repository is licensed under the [Magic Open Source License](LICENSE), based on Apache 2.0 with additional restrictions.","github_created_at":"2025-05-14T22:04:29+00:00","created_at":"2026-07-15T10:47:13.502939+00:00","updated_at":"2026-07-15T10:47:16.432785+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"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"agi","name":"agi"},{"slug":"ai","name":"ai"},{"slug":"gpt","name":"gpt"},{"slug":"llm","name":"llm"},{"slug":"low-code","name":"low-code"},{"slug":"mcp","name":"mcp"},{"slug":"no-code","name":"no-code"}],"trust":{"provenance":{"is_fork":false,"github_id":983763510,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-15T10:47:14.516Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":34,"last_release_at":null},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:47:14.810Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-15T10:47:14.280Z"},"languages":{"value":["typescript"],"source":"github.language","observed_at":"2026-07-15T10:47:14.280Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-15T10:47:14.280Z"}}}}