Library/gemini-fullstack-langgraph-quickstart
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google-gemini/gemini-fullstack-langgraph-quickstart

gemini-fullstack-langgraph-quickstart

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

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Google Gemini

Google Gemini

google-gemini • big-tech

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Created

May 22, 2025

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README Summary

This repository provides a quickstart guide for building fullstack AI agents using Google's Gemini 2.5 model and LangGraph framework. It demonstrates how to create interactive, stateful AI applications that can handle complex workflows and multi-step reasoning tasks. The project includes Jupyter notebooks with practical examples and implementation patterns for developing production-ready agent systems.

AI Dev Skills

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Agentic AI DevelopmentLarge Language Model IntegrationConversational AILangGraph Workflow OrchestrationFullstack AI Application DevelopmentMulti-turn Dialogue SystemsAgent State Management

Tags

Agentic AI DevelopmentLarge Language Model IntegrationConversational AILangGraph Workflow OrchestrationFullstack AI Application DevelopmentMulti-turn Dialogue SystemsAgent State ManagementSelf-hostedAI-Powered Chat InterfacesMultimodalTextMultimodal ReasoningInteractive AI Agent DevelopmentAgentic AIEducationCloud APIAgent Workflow DemonstrationCompound AI SystemsConversational Application PrototypingDeveloper ToolsJupyter Notebook

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Recent Activity

Updated 1 months ago

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prototype
Quality
medium
Maturity
prototype

Categories

ML Platform & InfrastructurePrimaryData Science & AnalyticsMultimodal AIOther AI / MLDev Tools & AutomationFoundation ModelsAI Agents

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Jupyter Notebook100.0%

Timeline

Project created
May 22, 2025
Forked
Mar 13, 2026
Your last push
1 months ago
Upstream last push
7 days ago
Tracked since
Mar 12, 2026

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