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Top 17 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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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
ℹ️ The complete source code is available in this notebook (including all setup details and future updates) under the Apache 2.0 license. You can also directly open the notebook in Colab. This article reproduces all the results generated by a click on “Run all”.
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julep
Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.
Project mention: Show HN: BaaS to build agents as data, not code | news.ycombinator.com | 2025-08-08 -
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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Project mention: Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB | dev.to | 2026-04-27
Python 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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agentcore-samples
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Project mention: AWS Just Defined AgentOps. Here's What Amazon Bedrock AgentCore Actually Changes About Running Agents in Production. | dev.to | 2026-06-04Amazon Bedrock AgentCore is available now. The reference architecture and implementation guidance are detailed in the AWS ML blog post. AgentCore Runtime, Memory, Gateway, and Identity are available as independent components — you can adopt any pillar without committing to the full stack. The AWS Agent Registry, which handles agent discovery and approval workflows across organizations, is part of the same release. Pricing follows standard Bedrock consumption-based models; the post links to supporting AWS documentation for setup across each pillar.
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git clone https://github.com/a2aproject/a2a-samples.git # Enter server directory cd samples/python/agents/beeai-chat # Create virtual environment and install dependencies with uv uv venv source .venv/bin/activate # Linux/macOS uv pip install -e . # Important note uv add "a2a-sdk[http-server]" # Start server uv run python __main__.py
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vectordb-recipes
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
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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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miyagi
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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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
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Agents discussion
Jupyter Notebook Agents related posts
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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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Amazon Bedrock AgentCore Evaluations: LLM-as-a-Judge in Production
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Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 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 | 23,060 |
| 2 | agents-towards-production | 20,939 |
| 3 | generative-ai | 17,218 |
| 4 | julep | 6,600 |
| 5 | oracle-ai-developer-hub | 4,271 |
| 6 | GenAI-Showcase | 4,248 |
| 7 | agentic-rag-for-dummies | 3,637 |
| 8 | agentcore-samples | 3,174 |
| 9 | Memary | 2,578 |
| 10 | a2a-samples | 1,678 |
| 11 | vectordb-recipes | 965 |
| 12 | AI-Gateway | 949 |
| 13 | miyagi | 752 |
| 14 | haystack-cookbook | 544 |
| 15 | RAGformation | 36 |
| 16 | agents-from-scratch-ts | 33 |
| 17 | fenic-examples | 17 |
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