[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73958":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":16,"starSnapshotCount":16,"syncStatus":32,"lastSyncTime":33,"discoverSource":34},73958,"500-AI-Agents-Projects","ashishpatel26\u002F500-AI-Agents-Projects","ashishpatel26","The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.","https:\u002F\u002Fgithub.com\u002Fashishpatel26\u002F500-AI-Agents-Projects",null,"Python",32258,5669,419,23,0,75,582,1195,400,120,"MIT License",false,"main",true,[27,28],"ai-agents","genai","2026-06-12 04:01:12","# 🌟 500+ AI Agent Projects \u002F UseCases\n\n[![500-AI-Agents-Projects - UseCase](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002F500--AI--Agents--Projects-UseCase-2ea44f?logo=https%3A%2F%2Fstatic-00.iconduck.com%2Fassets.00%2Frobot-emoji-2048x2044-kay057lt.png&logoColor=2ea44f)](https:\u002F\u002Fgithub.com\u002Fashishpatel26\u002F500-AI-Agents-Projects)\n\n![img](images\u002FAIAgentUseCase.jpg)\n\nA curated collection of AI agent use cases across industries, showcasing practical applications and linking to open-source projects for implementation. Explore how AI agents are transforming industries like healthcare, finance, education, and more! 🤖✨\n\n---\n\n## 📋 Table of Contents\n\n- [Introduction](#introduction)\n- [Industry Usecase](#-industry-usecase-mindmap)\n- [Use Case Table](#use-case-table)\n- [Framework Wise UseCase](#framework-wise-usecases)\n  - [CrewAI UseCase](#framework-name-crewai)\n  - [AutoGen UseCase](#framework-name-autogen)\n  - [Agno UseCase](#framework-name-agno)\n  - [Langgraph UseCase](#framework-name-langgraph)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## 🧠 Introduction\n\nArtificial Intelligence (AI) agents are revolutionizing the way industries operate. From personalized learning to financial trading bots, AI agents bring efficiency, innovation, and scalability. This repository provides:\n\n- A categorized list of industries where AI agents are making an impact.\n- Detailed use cases with links to open-source projects for implementation.\n\nWhether you're a developer, researcher, or business enthusiast, this repository is your go-to resource for AI agent inspiration and learning.\n\n---\n\n## 🏭 Industry UseCase MindMap\n\n![](images\u002Findustry_usecase1.png)\n\n---\n\n## 🧩 Use Case Table\n\n| Use Case                                    | Industry         | Description                                              | Code Github                                                                                                                                                                          |\n| ------------------------------------------- | ---------------- | -------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| **HIA (Health Insights Agent)**       | Healthcare       | analyses medical reports and provide health insights.    | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fharshhh28\u002Fhia.git)                                                                             |\n| **AI Health Assistant**               | Healthcare       | Diagnoses and monitors diseases using patient data.      | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fahmadvh\u002FAI-Agents-for-Medical-Diagnostics.git)                                                 |\n| **Automated Trading Bot**             | Finance          | Automates stock trading with real-time market analysis.  | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FMingyuJ666\u002FStockagent.git)                                                                     |\n| **Virtual AI Tutor**                  | Education        | Provides personalized education tailored to users.       | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fhqanhh\u002FEduGPT.git)                                                                             |\n| **24\u002F7 AI Chatbot**                   | Customer Service | Handles customer queries around the clock.               | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FNirDiamant\u002FGenAI_Agents\u002Fblob\u002Fmain\u002Fall_agents_tutorials\u002Fcustomer_support_agent_langgraph.ipynb) |\n| **Product Recommendation Agent**      | Retail           | Suggests products based on user preferences and history. | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FRecAI)                                                                               |\n| **Self-Driving Delivery Agent**       | Transportation   | Optimizes routes and autonomously delivers packages.     | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fsled-group\u002FdriVLMe)                                                                            |\n| **Factory Process Monitoring Agent**  | Manufacturing    | Monitors production lines and ensures quality control.   | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fyuchenxia\u002Fllm4ias)                                                                             |\n| **Property Pricing Agent**            | Real Estate      | Analyzes market trends to determine property prices.     | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FAleksNeStu\u002Fai-real-estate-assistant)                                                           |\n| **Smart Farming Assistant**           | Agriculture      | Provides insights on crop health and yield predictions.  | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fmohammed97ashraf\u002FLLM_Agri_Bot)                                                                 |\n| **Energy Demand Forecasting Agent**   | Energy           | Predicts energy usage to optimize grid management.       | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fyecchen\u002FMIRAI)                                                                                 |\n| **Content Personalization Agent**     | Entertainment    | Recommends personalized media based on preferences.      | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fcrosleythomas\u002FMirrorGPT)                                                                       |\n| **Legal Document Review Assistant**   | Legal            | Automates document review and highlights key clauses.    | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Ffirica\u002Flegalai)                                                                                |\n| **Recruitment Recommendation Agent**  | Human Resources  | Suggests best-fit candidates for job openings.           | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fsentient-engineering\u002Fjobber)                                                                   |\n| **Virtual Travel Assistant**          | Hospitality      | Plans travel itineraries based on preferences.           | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fnirbar1985\u002Fai-travel-agent)                                                                    |\n| **AI Game Companion Agent**           | Gaming           | Enhances player experience with real-time assistance.    | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fonjas-buidl\u002FLLM-agent-game)                                                                    |\n| **Real-Time Threat Detection Agent**  | Cybersecurity    | Identifies potential threats and mitigates attacks.      | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FNVISOsecurity\u002Fcyber-security-llm-agents)                                                       |\n| **E-commerce Personal Shopper Agent** | E-commerce       | Helps customers find products they’ll love.             | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FHoanganhvu123\u002FShoppingGPT)                                                                     |\n| **Logistics Optimization Agent**      | Supply Chain     | Plans efficient delivery routes and manages inventory.   | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FOptiGuide)                                                                           |\n| **Vibe Hacking Agent**                | Cybersecurity    | Autonomous Multi-Agent Based Red Team Testing Service.   | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FPurpleAILAB\u002FDecepticon) |\n| **MediSuite-Ai-Agent**  | Health insurance  | A medical ai agent that helps automating the process of hospitals \u002F insurance claiming workflow. | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FMahmoudRabea13\u002FMediSuite-Ai-Agent)                                         | \n| **Lina-Egyptian-Medical-Chatbot**  | Health insurance  | A medical ai agent that helps automating the process of hospitals \u002F insurance claiming workflow. | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCode-GitHub-black?logo=github)](https:\u002F\u002Fgithub.com\u002FMahmoudRabea13\u002FMediSuite-Ai-Agent)                                         |\n\n## Framework wise Usecases\n\n---\n\n### **Framework Name**: **CrewAI**\n\n| Use Case                         | Industry                | Description                                                                                  | GitHub                                                                                                                                              |\n| -------------------------------- | ----------------------- | -------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 📧 Email Auto Responder Flow     | 🗣️ Communication        | Automates email responses based on predefined criteria to enhance communication efficiency.  | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fflows\u002Femail_auto_responder_flow) |\n| 📝 Meeting Assistant Flow        | 🛠️ Productivity         | Assists in organizing and managing meetings, including scheduling and agenda preparation.    | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fflows\u002Fmeeting_assistant_flow) |\n| 🔄 Self Evaluation Loop Flow     | 👥 Human Resources      | Facilitates self-assessment processes within an organization, aiding in performance reviews. | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fflows\u002Fself_evaluation_loop_flow) |\n| 📈 Lead Score Flow               | 💼 Sales                | Evaluates and scores potential leads to prioritize outreach in sales strategies.             | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fflows\u002Flead-score-flow) |\n| 📊 Marketing Strategy Generator  | 📢 Marketing            | Develops marketing strategies by analyzing market trends and audience data.                  | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fmarketing_strategy) |\n| 📝 Job Posting Generator         | 🧑‍💼 Recruitment          | Creates job postings by analyzing job requirements, aiding in recruitment processes.         | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fjob-posting) |\n| 🔄 Recruitment Workflow          | 🧑‍💼 Recruitment          | Streamlines the recruitment process by automating various tasks involved in hiring.          | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Frecruitment) |\n| 🔍 Match Profile to Positions    | 🧑‍💼 Recruitment          | Matches candidate profiles to suitable job positions to enhance recruitment efficiency.      | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fmatch_profile_to_positions) |\n| 📸 Instagram Post Generator      | 📱 Social Media         | Generates and schedules Instagram posts automatically, streamlining social media management. | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Finstagram_post)             |\n| 🌐 Landing Page Generator        | 💻 Web Development      | Automates the creation of landing pages for websites, facilitating web development tasks.    | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Flanding_page_generator)     |\n| 🎮 Game Builder Crew             | 🎮 Game Development     | Assists in the development of games by automating certain aspects of game creation.          | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fgame-builder-crew)          |\n| 💹 Stock Analysis Tool           | 💰 Finance              | Provides tools for analyzing stock market data to assist in financial decision-making.       | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fstock_analysis)             |\n| 🗺️ Trip Planner                  | ✈️ Travel               | Assists in planning trips by organizing itineraries and managing travel details.             | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Ftrip_planner)               |\n| 🎁 Surprise Trip Planner         | ✈️ Travel               | Plans surprise trips by selecting destinations and activities based on user preferences.     | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fsurprise_trip)              |\n| 📚 Write a Book with Flows       | ✍️ Creative Writing     | Assists authors in writing books by providing structured workflows and writing assistance.   | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fflows\u002Fwrite_a_book_with_flows) |\n| 🎬 Screenplay Writer             | ✍️ Creative Writing     | Aids in writing screenplays by offering templates and guidance for script development.       | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fscreenplay_writer)          |\n| ✅ Markdown Validator            | 📄 Documentation        | Validates Markdown files to ensure proper formatting and adherence to standards.             | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fmarkdown_validator)         |\n| 🧠 Meta Quest Knowledge          | 📚 Knowledge Management | Manages and organizes knowledge related to Meta Quest, facilitating information retrieval.   | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fmeta_quest_knowledge)       |\n| 🤖 NVIDIA Models Integration     | 🤖 AI Integration       | Integrates NVIDIA AI models into workflows to enhance computational capabilities.            | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fintegrations\u002Fnvidia_models) |\n| 🗂️ Prep for a Meeting            | 🛠️ Productivity         | Assists in preparing for meetings by organizing materials and setting agendas.               | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fprep-for-a-meeting)         |\n| 🛠️Starter Template               | 🛠️ Development          | Provides a starter template for new projects to streamline the setup process.                | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fcrews\u002Fstarter_template)           |\n| 🔗CrewAI + LangGraph Integration | 🤖 AI Integration       | Demonstrates integration between CrewAI and LangGraph for enhanced workflow automation.      | [![GitHub](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-Repository-blue)](https:\u002F\u002Fgithub.com\u002FcrewAIInc\u002FcrewAI-examples\u002Ftree\u002Fmain\u002Fintegrations\u002FCrewAI-LangGraph)           |\n\n\n### **Framework Name**: **Autogen**\n\n> **Code Generation, Execution, and Debugging**\n\n| Use Case                                                                                | Industry                | Description                                                                       | Notebook                                                                                                                                                                   |\n| --------------------------------------------------------------------------------------- | ----------------------- | --------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🤖 Automated Task Solving with Code Generation, Execution & Debugging                   | 💻 Software Development | Demonstrates automated task-solving by generating, executing, and debugging code. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_auto_feedback_from_code_execution) |\n| 🧑‍💻 Automated Code Generation and Question Answering with Retrieval Augmented Agents | 💻 Software Development | Generates code and answers questions using retrieval-augmented methods.           | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_RetrieveChat)                      |\n| 🧠 Automated Code Generation and Question Answering with Qdrant-based Retrieval         | 💻 Software Development | Utilizes Qdrant for enhanced retrieval-augmented agent performance.               | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_RetrieveChat_qdrant)               |\n\n> **Multi-Agent Collaboration (>3 Agents)**\n\n| Use Case                                                                 | Industry                    | Description                                                         | Notebook                                                                                                                                                            |\n| :----------------------------------------------------------------------- | :-------------------------- | :------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| 🤝 Automated Task Solving by Group Chat (3 members, 1 manager)           | 🤝 Collaboration            | Demonstrates group task-solving via multi-agent collaboration.      | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat)                  |\n| 📊 Automated Data Visualization by Group Chat (3 members, 1 manager)     | 📊 Data Analysis            | Uses multi-agent collaboration to create data visualizations.       | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat_vis)              |\n| 🧩 Automated Complex Task Solving by Group Chat (6 members, 1 manager)   | 🤝 Collaboration            | Solves complex tasks collaboratively with a larger group of agents. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat_research)         |\n| 🧑‍💻 Automated Task Solving with Coding & Planning Agents              | 🛠️ Planning & Development | Combines coding and planning agents for solving tasks effectively.  | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_planning.ipynb)             |\n| 📐 Automated Task Solving with Transition Paths Specified in a Graph     | 🤝 Collaboration            | Uses predefined transition paths in a graph for solving tasks.      | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat_finite_state_machine) |\n| 🧠 Running a Group Chat as an Inner-Monologue via the SocietyOfMindAgent | 🧠 Cognitive Sciences       | Simulates inner-monologue for problem-solving using group chats.    | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_society_of_mind)            |\n| 🔧 Running a Group Chat with Custom Speaker Selection Function           | 🤝 Collaboration            | Implements a custom function for speaker selection in group chats.  | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat_customized)       |\n\n> **Sequential Multi-Agent Chats**\n\n| Use Case                                                                           | Industry               | Description                                                                      | Notebook                                                                                                                                                        |\n| :--------------------------------------------------------------------------------- | :--------------------- | :------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🔄 Solving Multiple Tasks in a Sequence of Chats Initiated by a Single Agent       | 🔄 Workflow Automation | Automates sequential task-solving with a single initiating agent.                | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_multi_task_chats)       |\n| ⏳ Async-solving Multiple Tasks in a Sequence of Chats Initiated by a Single Agent | 🔄 Workflow Automation | Handles asynchronous task-solving in a sequence of chats initiated by one agent. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_multi_task_async_chats) |\n| 🤝 Solving Multiple Tasks in a Sequence of Chats Initiated by Different Agents     | 🔄 Workflow Automation | Facilitates sequential task-solving with different agents initiating each chat.  | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchats_sequential_chats)      |\n\n> **Nested Chats**\n\n| Use Case                                                                       | Industry                     | Description                                                                                                          | Notebook                                                                                                                                                         |\n| :----------------------------------------------------------------------------- | :--------------------------- | :------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🧠 Solving Complex Tasks with Nested Chats                                     | 🧠 Problem Solving           | Uses nested chats to solve hierarchical and complex problems.                                                        | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nestedchat)              |\n| 🔄 Solving Complex Tasks with A Sequence of Nested Chats                       | 🧠 Problem Solving           | Demonstrates sequential task-solving using nested chats.                                                             | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nested_sequential_chats) |\n| 🏭 OptiGuide for Solving a Supply Chain Optimization Problem with Nested Chats | 🏭 Supply Chain Optimization | Showcases how to solve supply chain optimization problems using nested chats, a coding agent, and a safeguard agent. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nestedchat_optiguide)    |\n| ♟️ Conversational Chess with Nested Chats and Tool Use                       | 🎮 Gaming                    | Explores the use of nested chats for playing conversational chess with integrated tools.                             | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nested_chats_chess)      |\n\n> **Application**\n\n| Use Case                                                                                           | Industry                     | Description                                                                                       | Notebook                                                                                                                                                      |\n| :------------------------------------------------------------------------------------------------- | :--------------------------- | :------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| 🔄 Automated Continual Learning from New Data                                                      | 📊 Machine Learning          | Continuously learns from new data inputs for adaptive AI.                                         | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_stream.ipynb)         |\n| 🏭 OptiGuide - Coding, Tool Using, Safeguarding & Question Answering for Supply Chain Optimization | 🏭 Supply Chain Optimization | Highlights a solution combining coding, tool use, and safeguarding for supply chain optimization. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nestedchat_optiguide) |\n| 🤖 AutoAnny - A Discord bot built using AutoGen                                                    | 💬 Communication Tools       | Showcases the development of a Discord bot using AutoGen for enhanced interaction.                | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Ftree\u002Fmain\u002Fsamples\u002Fapps\u002Fauto-anny)                 |\n\n> **Tools**\n\n| Use Case                                                               | Industry                       | Description                                                                                  | Notebook                                                                                                                                                                         |\n| :--------------------------------------------------------------------- | :----------------------------- | :------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🌐 Web Search: Solve Tasks Requiring Web Info                          | 🔍 Information Retrieval       | Searches the web to gather information required for completing tasks.                        | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_web_info.ipynb)                          |\n| 🔧 Use Provided Tools as Functions                                     | 🛠️ Tool Integration          | Demonstrates how to use pre-provided tools as callable functions in AutoGen.                 | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_function_call_currency_calculator)       |\n| 🔗 Use Tools via Sync and Async Function Calling                       | 🛠️ Tool Integration          | Illustrates synchronous and asynchronous tool usage within AutoGen workflows.                | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_function_call_async)                     |\n| 🧩 Task Solving with Langchain Provided Tools as Functions             | 🔍 Language Processing         | Leverages Langchain tools for task-solving within AutoGen.                                   | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_langchain.ipynb)                         |\n| 📚 RAG: Group Chat with Retrieval Augmented Generation                 | 🤝 Collaboration               | Enables group chat with Retrieval Augmented Generation (RAG) to support information sharing. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_groupchat_RAG)                           |\n| ⚙️ Function Inception: Update\u002FRemove Functions During Conversations  | 🔧 Development Tools           | Allows AutoGen agents to modify their functions dynamically during conversations.            | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_inception_function.ipynb)                |\n| 🔊 Agent Chat with Whisper                                             | 🎙️ Audio Processing          | Demonstrates AI agent capabilities for transcription and translation using Whisper.          | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_video_transcript_translate_with_whisper) |\n| 📏 Constrained Responses via Guidance                                  | 💡 Natural Language Processing | Shows how to use guidance to constrain responses generated by agents.                        | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_guidance.ipynb)                          |\n| 🌍 Browse the Web with Agents                                          | 🌐 Information Retrieval       | Explains how to configure agents to browse and retrieve information from the web.            | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_surfer.ipynb)                            |\n| 📊 SQL: Natural Language Text to SQL Query Using Spider Benchmark      | 💾 Database Management         | Converts natural language inputs into SQL queries using the Spider benchmark.                | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_sql_spider.ipynb)                        |\n| 🕸️ Web Scraping with Apify                                           | 🌐 Data Gathering              | Illustrates web scraping techniques with Apify using AutoGen.                                | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_webscraping_with_apify)                  |\n| 🕷️ Web Crawling: Crawl Entire Domain with Spider API                 | 🌐 Data Gathering              | Explains how to crawl entire domains using the Spider API.                                   | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_webcrawling_with_spider)                 |\n| 💻 Write a Software App Task by Task with Specially Designed Functions | 💻 Software Development        | Builds a software application step-by-step using designed functions.                         | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_function_call_code_writing.ipynb)        |\n\n> **Human Development**\n\n| Use Case                                                         | Industry                | Description                                                                                       | Notebook                                                                                                                                                      |\n| :--------------------------------------------------------------- | :---------------------- | :------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| 💬 Simple Example in ChatGPT Style                               | 🧠 Conversational AI    | Demonstrates a simple conversational example in the style of ChatGPT.                             | [![Example](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Example-blue?logo=openai)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fsamples\u002Fsimple_chat.py)                     |\n| 🤖 Auto Code Generation, Execution, Debugging and Human Feedback | 💻 Software Development | Showcases code generation, execution, debugging with human feedback integrated into the workflow. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_human_feedback.ipynb) |\n| 👥 Automated Task Solving with GPT-4 + Multiple Human Users      | 🤝 Collaboration        | Enables task solving with multiple human users collaborating with GPT-4.                          | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_two_users.ipynb)      |\n| 🔄 Agent Chat with Async Human Inputs                            | 🧠 Conversational AI    | Supports asynchronous human input during agent conversations.                                     | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002FAsync_human_input.ipynb)        |\n\n> **Agent Teaching and Learning**\n\n| Use Case                                                             | Industry                    | Description                                                                              | Notebook                                                                                                                                                                |\n| :------------------------------------------------------------------- | :-------------------------- | :--------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 📘 Teach Agents New Skills & Reuse via Automated Chat                | 🎓 Education & Training     | Demonstrates teaching new skills to agents and enabling their reuse in automated chats.  | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_teaching)                       |\n| 🧠 Teach Agents New Facts, User Preferences and Skills Beyond Coding | 🎓 Education & Training     | Shows how to teach agents new facts, user preferences, and non-coding skills.            | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_teachability)                   |\n| 🤖 Teach OpenAI Assistants Through GPTAssistantAgent                 | 💻 AI Assistant Development | Illustrates how to enhance OpenAI assistants' capabilities using GPTAssistantAgent.      | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_teachable_oai_assistants.ipynb) |\n| 🔄 Agent Optimizer: Train Agents in an Agentic Way                   | 🛠️ Optimization           | Explains how to train agents effectively in an agentic manner using the Agent Optimizer. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_agentoptimizer.ipynb)           |\n\n> **Multi-Agent Chat with OpenAI Assistants in the loop**\n\n| Use Case                                                  | Industry                 | Description                                                                   | Notebook                                                                                                                                                                     |\n| :-------------------------------------------------------- | :----------------------- | :---------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🌟 Hello-World Chat with OpenAI Assistant in AutoGen      | 🤖 Conversational AI     | A basic example of chatting with OpenAI Assistant using AutoGen.              | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_oai_assistant_twoagents_basic.ipynb) |\n| 🔧 Chat with OpenAI Assistant using Function Call         | 🔧 Development Tools     | Illustrates how to use function calls with OpenAI Assistant in chats.         | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_oai_assistant_function_call.ipynb)   |\n| 🧠 Chat with OpenAI Assistant with Code Interpreter       | 💻 Software Development  | Demonstrates the use of OpenAI Assistant as a code interpreter in chats.      | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_oai_code_interpreter.ipynb)          |\n| 🔍 Chat with OpenAI Assistant with Retrieval Augmentation | 📚 Information Retrieval | Enables retrieval-augmented conversations with OpenAI Assistant.              | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_oai_assistant_retrieval.ipynb)       |\n| 🤝 OpenAI Assistant in a Group Chat                       | 🤝 Collaboration         | Shows how OpenAI Assistant can collaborate with other agents in a group chat. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_oai_assistant_groupchat.ipynb)       |\n| 🛠️ GPTAssistantAgent based Multi-Agent Tool Use         | 🔧 Development Tools     | Explains how to use GPTAssistantAgent for multi-agent tool usage.             | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fgpt_assistant_agent_function_call.ipynb)       |\n\n> **Non-OpenAI Models**\n\n| Use Case                                          | Industry  | Description                                                       | Notebook                                                                                                                                                              |\n| :------------------------------------------------ | :-------- | :---------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| ♟️ Conversational Chess using Non-OpenAI Models | 🎮 Gaming | Explores conversational chess implemented with non-OpenAI models. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_nested_chats_chess_altmodels) |\n\n> **Multimodal Agent**\n\n| Use Case                                       | Industry            | Description                                                                       | Notebook                                                                                                                                                       |\n| :--------------------------------------------- | :------------------ | :-------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🎨 Multimodal Agent Chat with DALLE and GPT-4V | 🖼️ Multimedia AI  | Combines DALLE and GPT-4V for multimodal agent communication.                     | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_dalle_and_gpt4v.ipynb) |\n| 🖌️ Multimodal Agent Chat with Llava          | 📷 Image Processing | Uses Llava for enabling multimodal agent conversations with image processing.     | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_lmm_llava.ipynb)       |\n| 🖼️ Multimodal Agent Chat with GPT-4V         | 🖼️ Multimedia AI  | Leverages GPT-4V for visual and conversational interactions in multimodal agents. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_lmm_gpt-4v.ipynb)      |\n\n> **Long Context Handling**\n\n| Use Case                                 | Industry         | Description                                                                        | Notebook                                                                                                                                                    |\n| :--------------------------------------- | :--------------- | :--------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 📜 Long Context Handling as A Capability | 🧠 AI Capability | Demonstrates techniques for handling long context effectively within AI workflows. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Fnotebooks\u002Fagentchat_transform_messages) |\n\n> **Evaluation and Assessment**\n\n| Use Case                                                                             | Industry                  | Description                                                                                  | Notebook                                                                                                                                               |\n| :----------------------------------------------------------------------------------- | :------------------------ | :------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 📊 AgentEval: A Multi-Agent System for Assessing Utility of LLM-Powered Applications | 📈 Performance Evaluation | Introduces AgentEval for evaluating and assessing the performance of LLM-based applications. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagenteval_cq_math.ipynb) |\n\n> **Automatic Agent Building**\n\n| Use Case                                                      | Industry          | Description                                                                           | Notebook                                                                                                                                                     |\n| :------------------------------------------------------------ | :---------------- | :------------------------------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🏗️ Automatically Build Multi-agent System with AgentBuilder | 🤖 AI Development | Explains how to automatically build multi-agent systems using the AgentBuilder tool.  | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fautobuild_basic.ipynb)         |\n| 📚 Automatically Build Multi-agent System from Agent Library  | 🤖 AI Development | Shows how to construct multi-agent systems by leveraging a pre-defined agent library. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fautobuild_agent_library.ipynb) |\n\n> **Observability**\n\n| Use Case                                                          | Industry                  | Description                                                                          | Notebook                                                                                                                                                |\n| :---------------------------------------------------------------- | :------------------------ | :----------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| 📊 Track LLM Calls, Tool Usage, Actions and Errors using AgentOps | 📈 Monitoring & Analytics | Demonstrates how to monitor LLM interactions, tool usage, and errors using AgentOps. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_agentops.ipynb) |\n\n> **Enhanced Inferences**\n\n| Use Case                                                               | Industry           | Description                                                                                | Notebook                                                                                                                                                                     |\n| :--------------------------------------------------------------------- | :----------------- | :----------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🔗 API Unification                                                     | 🔧 API Management  | Explains how to unify API usage with documentation and code examples.                      | [![Documentation](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Documentation-blue?logo=readthedocs)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002Fdocs\u002FUse-Cases\u002Fenhanced_inference\u002F#api-unification) |\n| ⚙️ Utility Functions to Help Managing API Configurations Effectively | 🔧 API Management  | Demonstrates utility functions to manage API configurations more effectively.              | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fmicrosoft.github.io\u002Fautogen\u002F0.2\u002Fdocs\u002Ftopics\u002Fllm_configuration)                                |\n| 💰 Cost Calculation                                                    | 📈 Cost Management | Introduces methods for tracking token usage and estimating costs for LLM interactions.     | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Fagentchat_cost_token_tracking.ipynb)           |\n| ⚡ Optimize for Code Generation                                        | 📊 Optimization    | Highlights cost-effective optimization techniques for improving code generation with LLMs. | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Foai_completion.ipynb)                          |\n| 📐 Optimize for Math                                                   | 📊 Optimization    | Explains techniques to optimize LLM performance for solving mathematical problems.         | [![Notebook](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FView-Notebook-blue?logo=jupyter)](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fautogen\u002Fblob\u002F0.2\u002Fnotebook\u002Foai_chatgpt_gpt4.ipynb)                        |\n\n### **Framework Name**: **Agno**\n\n> **UseCase**\n\n| Use Case                           | Industry                                         | Description                                                                                                                                                                                                                                         | Notebook                                                                                                                                                                                                       |\n| :--------------------------------- | :----------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 🤖 Support Agent                   | 💻 Software Development \u002F AI \u002F Framework Support | The Agno Support Agent helps developers with the Agno framework by providing real-time answers, explanations, and code examples.                                                                                                                    | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fagno_support_agent.py)         |\n| 🎥 YouTube Agent                   | 📺 Media & Content                               | An intelligent agent that analyzes YouTube videos by generating detailed summaries, timestamps, themes, and content breakdowns using AI tools.                                                                                                      | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fyoutube_agent.py)              |\n| 📊 Finance Agent                   | 💼 Finance                                       | An advanced AI-powered market analyst that delivers real-time stock market insights, analyst recommendations, financial deep-dives, and sector-specific trends. Supports prompts for detailed analysis of companies like AAPL, TSLA, NVDA, etc.     | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fthinking_finance_agent.py)     |\n| 📚 Study Partner                   | 🎓 Education                                     | Assists users in learning by finding resources, answering questions, and creating study plans.                                                                                                                                                      | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fstudy_partner.py)              |\n| 🛍️ Shopping Partner Agent        | 🏬 E-commerce                                    | A product recommender agent that helps users find matching products based on preferences from trusted platforms like Amazon, Flipkart, etc.                                                                                                         | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fshopping_partner.py)           |\n| 🎓 Research Scholar Agent          | 🧠 Education \u002F Research                          | An AI-powered academic assistant that performs advanced academic searches, analyzes recent publications, synthesizes findings across disciplines, and writes well-structured academic reports with proper citations.                                | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fresearch_agent_exa.py)         |\n| 🧠 Research Agent                  | 🗞️ Media & Journalism                          | A research agent that combines web search and professional journalistic writing. It performs deep investigations and produces NYT-style reports.                                                                                                    | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fresearch_agent.py)             |\n| 🍳 Recipe Creator                  | 🍽️ Food & Culinary                             | An AI-powered recipe recommendation agent that provides personalized recipes based on ingredients, preferences, and time constraints.                                                                                                               | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Frecipe_creator.py)             |\n| 🗞️ Finance Agent                 | 💼 Finance                                       | A powerful financial analyst agent combining real-time stock data, analyst insights, company fundamentals, and market news. Ideal for analyzing companies like Apple, Tesla, NVIDIA, and sectors like semiconductors or automotive.                 | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Ffinance_agent.py)              |\n| 🧠 Financial Reasoning Agent       | 📈 Finance                                       | Uses a Claude-3.5 Sonnet-based agent to analyze stocks like NVDA using tools for reasoning and Yahoo Finance data.                                                                                                                                  | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Freasoning_finance_agent.py)    |\n| 🤖 Readme Generator Agent          | 💻 Software Dev                                  | Agent generates high-quality READMEs for GitHub repositories using repo metadata.                                                                                                                                                                   | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Freadme_generator.py)           |\n| 🎬 Movie Recommendation Agent      | 🎥 Entertainment                                 | An intelligent agent that gives personalized movie recommendations using Exa and GPT-4o, analyzing genres, themes, and latest ratings.                                                                                                              | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fmovie_recommedation.py)        |\n| 🔍 Media Trend Analysis Agent      | 📰 Media & News                                  | Analyzes emerging trends, patterns, and influencers from digital platforms using AI-powered agents and scraping.                                                                                                                                    | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fmedia_trend_analysis_agent.py) |\n| ⚖️ Legal Document Analysis Agent | 🏛️ Legal Tech                                  | An AI agent that analyzes legal documents from PDF URLs and provides legal insights based on a knowledge base using vector embeddings and GPT-4o.                                                                                                   | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Flegal_consultant.py)           |\n| 🤔 DeepKnowledge                   | 🧠 Research                                      | This agent performs iterative searches through its knowledge base, breaking down complex queries into sub-questions and synthesizing comprehensive answers. It uses Agno docs for demonstration and is designed for deep reasoning and exploration. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fdeep_knowledge.py)             |\n| 📚 Book Recommendation Agent       | 🧠 Publishing & Media                            | An intelligent agent that provides personalized book suggestions using literary data, reader preferences, reviews, and release info.                                                                                                                | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fbook_recommendation.py)        |\n| 🏠 MCP Airbnb Agent                | 🛎️ Hospitality                                 | Create an AI Agent using MCP and Llama 4 to search Airbnb listings with filters like workspace & transport proximity.                                                                                                                               | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fairbnb_mcp.py)                 |\n| 🤖 Assist\t Agent                   | 🧠 AI Framework                                  | An AI agent using GPT-4o to answer questions about the Agno framework with hybrid search and embedded knowledge.                                                                                                                                    | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Fagno-agi\u002Fagno\u002Fblob\u002Fmain\u002Fcookbook\u002Fexamples\u002Fagents\u002Fagno_assist.py)                |\n\n### **Framework Name**: **Langgraph**\n\n> **UseCase**\n\n| Use Case                              | Industry                      | Description                                                  | Notebook                                                     |\n| :------------------------------------ | :---------------------------- | :----------------------------------------------------------- | :----------------------------------------------------------- |\n| 🤖 Chatbot Simulation Evaluation       | 💻 💬 AI \u002F Quality Assurance    | Simulate user interactions to evaluate chatbot performance, ensuring robustness and reliability in real-world scenarios. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fchatbot-simulation-evaluation\u002Fagent-simulation-evaluation.ipynb) |\n| 🧠 Information Gathering via Prompting | 🧠 AI \u002F Research & Development | This tutorial demonstrates how to design a LangGraph workflow that utilizes prompting techniques to gather information effectively. It showcases how to structure prompts and manage the flow of information to build intelligent agents. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fchatbots\u002Finformation-gather-prompting.ipynb) |\n| 🧠 Code Assistant with LangGraph       | 💻 Software Development        | This tutorial demonstrates how to build a resilient code assistant using LangGraph. It guides you through creating a graph-based agent that can handle code generation, error checking, and iterative refinement, ensuring robust and accurate coding assistance. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fcode_assistant\u002Flanggraph_code_assistant.ipynb) |\n| 🧑‍💼 Customer Support Agent             | 🧑‍💼 Customer Support Agent     | This tutorial demonstrates how to build a customer support agent using LangGraph. It guides you through creating a graph-based agent that can handle customer inquiries, providing automated support and enhancing user experience. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fcustomer-support\u002Fcustomer-support.ipynb) |\n| 🔁 Extraction with Retries             | 🧠 AI \u002F Data Extraction        | This tutorial demonstrates how to implement retry mechanisms in LangGraph workflows, ensuring robust data extraction processes that can handle transient errors and improve reliability. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fextraction\u002Fretries.ipynb) |\n| 🧠 Multi-Agent Workflow                | 🧠 AI \u002F Workflow Orchestration | This tutorial demonstrates how to build a multi-agent system using LangGraph's agent supervisor. It guides you through creating a supervisor agent that orchestrates multiple specialized agents, managing task delegation and communication flow. | [![AI Agent Code - Python](https:\u002F\u002Fimg.shields.io\u002Fstatic\u002Fv1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https:\u002F\u002Fgithub.com\u002Flangchain-ai\u002Flanggraph\u002Fblob\u002Fmain\u002Fdocs\u002Fdocs\u002Ftutorials\u002Fmulti_agent\u002Fagent_supervisor.ipynb) |\n| 🧠 Hierarchical Agent Teams            | 🧠 AI \u002F Workflow Orchestration | This tutorial demonstrates how to build a hierarchical agent system using LangGraph. It guides you through creating a top-level supervisor age","500 AI Agents Projects 是一个精选的AI代理用例集合，涵盖了医疗、金融、教育等多个行业。该项目展示了AI代理在实际应用中的潜力，并提供了链接到开源项目的实现方法，帮助用户了解AI如何改变这些领域。其核心功能包括通过详细的用例表和行业用例思维导图来展示不同行业的AI解决方案，支持多种框架如CrewAI、AutoGen等，便于开发者根据需求选择合适的工具。适合于希望探索或实施AI技术以提升业务效率的研究人员、开发者及企业人士使用。",2,"2026-06-11 03:48:04","high_star"]