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Top 16 Jupyter Notebook agentic-ai Projects
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A free, structured 11-lesson course to start AI agents the right way. Think of it as turn-by-turn directions for agents, minus the detours and dead ends. Link: https://github.com/microsoft/ai-agents-for-beginners
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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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nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Project mention: Google's 200M-parameter time-series foundation model with 16k context | news.ycombinator.com | 2026-03-30 -
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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sample-agentic-frameworks-on-aws
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
Project mention: Show HN: Agentic AI Frameworks on AWS (LangGraph,Strands,CrewAI,Arize,Mem0) | news.ycombinator.com | 2025-08-01 -
autogen
A programming framework for agentic AI. Discord: https://discord.gg/pAbnFJrkgZ (by autogenhub)
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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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sample-why-agents-fail
How to stop AI agents from hallucinating and wasting tokens. Working demos: Graph-RAG, semantic tool selection, neurosymbolic guardrails, DebounceHook — built with Strands Agents
git clone https://github.com/aws-samples/sample-why-agents-fail cd sample-why-agents-fail/stop-ai-agents-wasting-tokens/03-reasoning-loops-demo uv venv && uv pip install -r requirements.txt export OPENAI_API_KEY="your-key-here" uv run python test_reasoning_loops.py # Runs all 4 scenarios
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open_sci_eval
OpenSciEval: An Open-Ended Framework for Evaluating Scientific Creativity in AI Agents
Project mention: Show HN: OpenSciEval-AI Deriving Prime Theorem from Chaos | news.ycombinator.com | 2025-12-15 -
civic-helper-agent
A Multi-Agent AI Framework for Automated Issue Reporting, Formal Letter Generation, and Department-Level Routing
Project mention: Building "Civic-Helper": A Multi-Agent System for Social Good with Google Gemini | dev.to | 2025-12-04🔗 GitHub Repository: https://github.com/karthik-k11/civic-helper-agent
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functiongemma-finetuning-e-commerce
A comprehensive, production-ready tutorial for fine-tuning Google's FunctionGemma-270M-IT model to build an intelligent E-Commerce Customer Support AI Agent with advanced function calling capabilities.
Project mention: Beyond Mobile Actions: Exploring FunctionGemma for Intelligent Multi-Agent Orchestration | dev.to | 2025-12-25GitHub Repository: Complete implementation
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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 agentic-ai discussion
Jupyter Notebook agentic-ai 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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Amazon Bedrock AgentCore Evaluations: LLM-as-a-Judge in Production
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Why AI Agents Need Context Graphs (And How to Build One with AWS)
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Build a content feature store for recsys using an AI DataFrame library (fenic)
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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 agentic-ai projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | ai-agents-for-beginners | 69,042 |
| 2 | agents-towards-production | 20,939 |
| 3 | nixtla | 3,943 |
| 4 | agentic-rag-for-dummies | 3,637 |
| 5 | agentcore-samples | 3,174 |
| 6 | haystack-cookbook | 544 |
| 7 | sample-agentic-frameworks-on-aws | 259 |
| 8 | autogen | 139 |
| 9 | agents-from-scratch-ts | 33 |
| 10 | fenic-examples | 17 |
| 11 | sample-why-agents-fail | 17 |
| 12 | Frisque | 3 |
| 13 | open_sci_eval | 2 |
| 14 | civic-helper-agent | 2 |
| 15 | functiongemma-finetuning-e-commerce | 1 |
| 16 | Arctic-Sentinel-AI-Native-ISR-Dashboard | 1 |