Top 8 Jupyter Notebook langgraph Projects
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GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Clear tutorials and implementations of generative AI agent techniques, from basic builds to advanced strategies. You’ll see how different agent strategies are wired up, which makes design choices feel obvious. Link: https://github.com/NirDiamant/GenAI_Agents
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Project mention: Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval | news.ycombinator.com | 2026-01-17GraphRAG's approach certainly makes sense for regulation-heavy documents, where interconnected references can be critical for retrieval quality. The challenge you mentioned about separate systems for graph storage and vector indexing resonates with what we've seen in the field. In practice, this separation often adds unnecessary complexity for ephemeral analysis tasks. One thing we've explored is using a dual-memory architecture, which might be relevant here even in an in-memory context. It allows you to effectively manage recent context and longer-term semantic connections without the overhead of persistent storage. If you're interested in seeing how this approach could be integrated into production systems, I wrote up some patterns that might be useful: https://github.com/NirDiamant/agents-towards-production.
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agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
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sample-agentic-frameworks-on-aws
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
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Project mention: We Wrapped an Open-Source Agent in GraphOS and Turned the Debugging Session Into a Story | dev.to | 2026-04-25
agents-from-scratch-ts: https://github.com/langchain-ai/agents-from-scratch-ts
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03-agents-and-apps-foundations
A hands-on guide to building and orchestrating AI agents with LangGraph and CrewAI, from fundamentals to deployment with FastAPI and Streamlit. Learn agent architecture, memory management, and production patterns.
Project mention: 🧩 Building a Complete Learning Path for Generative AI Engineers — From Python to AI Agents | dev.to | 2025-10-2803 — Agents & Apps Foundations
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Arctic-Sentinel-AI-Native-ISR-Dashboard
The application is a modular AI-native ISR dashboard for autonomous threat detection and strategic insight. It combines C++ parsing, RS256-encrypted telemetry, OpenCV anomaly detection, ML forecasting, and Matplotlib 3D overlays across satellite and infrastructure data.
Project: https://github.com/ben854719/Arctic-Sentinel-AI-Native-ISR-Dashboard/tree/main
Jupyter Notebook langgraph discussion
Index
What are some of the best open-source langgraph projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | GenAI_Agents | 23,671 |
| 2 | agents-towards-production | 21,242 |
| 3 | agentic-rag-for-dummies | 3,865 |
| 4 | sample-agentic-frameworks-on-aws | 262 |
| 5 | Large-Language-Models-Tutorial | 45 |
| 6 | agents-from-scratch-ts | 33 |
| 7 | 03-agents-and-apps-foundations | 4 |
| 8 | Arctic-Sentinel-AI-Native-ISR-Dashboard | 1 |
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