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Top 16 Jupyter Notebook Agent 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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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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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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generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Intro to Skill Registry notebook on GitHub
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oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Several techniques are used to overcome this architectural limitation, and the folks at Oracle have some interesting examples. Their GitHub repo, oracle-ai-developer-hub showcases some different approaches. Through Jupyter notebooks like memory_context_engineering_agents.ipynb and RAG examples, Agent memory stops being a feature and becomes an engineering discipline.
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GenAI-Showcase
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
Project mention: Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB | dev.to | 2026-04-27Python 3.10+, an OpenAI API key, and either a local mongod or a MongoDB Atlas cluster. Nothing in the demo requires Atlas-only features — a 27017 on localhost is fine.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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AI-Gateway
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
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vectordb-recipes
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
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miyagi
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
Project mention: AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab | news.ycombinator.com | 2026-08-27 -
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RAGformation
Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.
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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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Project mention: Build a content feature store for recsys using an AI DataFrame library (fenic) | news.ycombinator.com | 2025-12-29
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook Agents discussion
Jupyter Notebook Agents related posts
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Google Cloud Skill Registry: A Practical Guide for Engineers
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We started writing docs for AI agents, not humans — and made it an open standard
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AWS Just Defined AgentOps. Here's What Amazon Bedrock AgentCore Actually Changes About Running Agents in Production.
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Amazon Bedrock AgentCore Gateway Just Became the Enterprise MCP Infrastructure Layer. Here's What Actually Changed.
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An AI agent that pays for its own API calls on AWS
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3 Steps to RBAC for AI Agents on Amazon Bedrock AgentCore
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Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB
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A note from our sponsor - AppSignal
www.appsignal.com | 10 Oct 2026
Index
What are some of the best open-source Agent projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | GenAI_Agents | 24,502 |
| 2 | agents-towards-production | 21,532 |
| 3 | generative-ai | 17,781 |
| 4 | oracle-ai-developer-hub | 4,412 |
| 5 | GenAI-Showcase | 4,264 |
| 6 | agentic-rag-for-dummies | 4,238 |
| 7 | Memary | 2,635 |
| 8 | a2a-samples | 1,794 |
| 9 | AI-Gateway | 994 |
| 10 | vectordb-recipes | 980 |
| 11 | miyagi | 752 |
| 12 | ai-engineer-notebooks | 689 |
| 13 | haystack-cookbook | 547 |
| 14 | RAGformation | 36 |
| 15 | agents-from-scratch-ts | 33 |
| 16 | fenic-examples | 21 |