{"data":{"slug":"mdalamin5-end-to-end-agentic-ai-automation-lab","name":"End-to-End-Agentic-Ai-Automation-Lab","tagline":"Hands-on projects and code examples for multi-agent systems","github_url":"https://github.com/MDalamin5/End-to-End-Agentic-Ai-Automation-Lab","owner":"MDalamin5","repo":"End-to-End-Agentic-Ai-Automation-Lab","owner_avatar_url":"https://avatars.githubusercontent.com/u/95652193?v=4","primary_language":"Jupyter Notebook","stars":97,"forks":39,"topics":["agentic-ai","agentic-rag","ambient-ai","autogen","deep-agents","docker","fine-tuning","guardrails","langchain","langgraph","langsmit","mcp-server","n8n","reranking","rrf-fusion","vllm"],"archived":false,"github_pushed_at":"2026-06-11T16:37:12+00:00","maintenance_label":"Slowing","stars_delta_30d":7,"url":"https://www.graphcanon.com/tools/mdalamin5-end-to-end-agentic-ai-automation-lab","markdown_url":"https://www.graphcanon.com/tools/mdalamin5-end-to-end-agentic-ai-automation-lab.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mdalamin5-end-to-end-agentic-ai-automation-lab","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mdalamin5-end-to-end-agentic-ai-automation-lab","description":"This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.","homepage_url":"https://www.linkedin.com/in/mdalamin5/","license":"MIT","open_issues":0,"watchers":3,"ai_summary":"Repository includes hands-on projects, code examples and deployment workflows for exploring multi-agent systems, LangChain, AutoGen, CrewAI, RAG, MCP, n8n automation, scalable agent deployment using Docker, AWS, BentoML.","readme_excerpt":"### 3. Install Dependencies\nDependencies may vary per module. Navigate to the specific project folder and install the requirements:\n```bash\ncd 18-e2e-chatbot-mem0-tools-HITL-MCP-RAG\npip install -r requirements.txt\n```\n\n---\n\n## 📜 License & Connect\n\nDistributed under the **MIT License**. See [`LICENSE`](LICENSE) for more information.\n\n<div align=\"center\">\n  \n**Developed with 💡 by [Md Al Amin](https://github.com/MDalamin5)**\n\n\n\n\nIf you find this repository helpful, don't forget to ⭐ star it!\n\n</div>","github_created_at":"2025-05-18T05:26:32+00:00","created_at":"2026-07-15T10:43:49.941206+00:00","updated_at":"2026-09-20T04:26:12.255899+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":"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":"agentic-ai","name":"agentic-ai"},{"slug":"autogen","name":"autogen"},{"slug":"aws","name":"aws"},{"slug":"bentoml","name":"bentoml"},{"slug":"docker","name":"docker"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"langchain","name":"langchain"},{"slug":"n8n","name":"n8n"}],"trust":{"provenance":{"is_fork":false,"github_id":985595150,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-12T06:00:47.346Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":92,"last_release_at":null,"stars_delta_30d":7,"open_issues_delta_30d":0},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:43:51.296Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-12T06:00:47.777Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-09-12T06:00:47.777Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-12T06:00:47.777Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["For developing complex multi-agent systems with automated workflows","When you need detailed examples of deploying agents in cloud or container environments"],"when_not_to_use":["If your project does not involve multi-agent systems or automation layers like n8n","If you are looking for a simpler introductory tool to AI without the focus on deployment details"],"source":"enrich:decision_facts","observed_at":"2026-07-16T16:06:10.468Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"End-to-End-Agentic-Ai-Automation-Lab offers hands-on projects and code for multi-agent systems using technologies like LangChain, AutoGen, CrewAI, RAG, MCP, and n8n on Docker, AWS, BentoML."}]}}