# 🌟 500+ AI Agent Projects / UseCases

[![500-AI-Agents-Projects - UseCase](https://img.shields.io/badge/500--AI--Agents--Projects-UseCase-2ea44f?logo=https%3A%2F%2Fstatic-00.iconduck.com%2Fassets.00%2Frobot-emoji-2048x2044-kay057lt.png&logoColor=2ea44f)](https://github.com/ashishpatel26/500-AI-Agents-Projects)

![img](images/AIAgentUseCase.jpg)

A 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! 🤖✨

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## 📋 Table of Contents

- [Introduction](#introduction)
- [Industry Usecase](#-industry-usecase-mindmap)
- [Use Case Table](#use-case-table)
- [Framework Wise UseCase](#framework-wise-usecases)
  - [CrewAI UseCase](#framework-name-crewai)
  - [AutoGen UseCase](#framework-name-autogen)
  - [Agno UseCase](#framework-name-agno)
  - [Langgraph UseCase](#framework-name-langgraph)
- [Contributing](#contributing)
- [License](#license)

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## 🧠 Introduction

Artificial 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:

- A categorized list of industries where AI agents are making an impact.
- Detailed use cases with links to open-source projects for implementation.

Whether you're a developer, researcher, or business enthusiast, this repository is your go-to resource for AI agent inspiration and learning.

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## 🏭 Industry UseCase MindMap

![](images/industry_usecase1.png)

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## 🧩 Use Case Table

| Use Case                                    | Industry         | Description                                              | Code Github                                                                                                                                                                          |
| ------------------------------------------- | ---------------- | -------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **HIA (Health Insights Agent)**       | Healthcare       | analyses medical reports and provide health insights.    | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/harshhh28/hia.git)                                                                             |
| **AI Health Assistant**               | Healthcare       | Diagnoses and monitors diseases using patient data.      | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/ahmadvh/AI-Agents-for-Medical-Diagnostics.git)                                                 |
| **Automated Trading Bot**             | Finance          | Automates stock trading with real-time market analysis.  | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/MingyuJ666/Stockagent.git)                                                                     |
| **Virtual AI Tutor**                  | Education        | Provides personalized education tailored to users.       | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/hqanhh/EduGPT.git)                                                                             |
| **24/7 AI Chatbot**                   | Customer Service | Handles customer queries around the clock.               | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/customer_support_agent_langgraph.ipynb) |
| **Product Recommendation Agent**      | Retail           | Suggests products based on user preferences and history. | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/microsoft/RecAI)                                                                               |
| **Self-Driving Delivery Agent**       | Transportation   | Optimizes routes and autonomously delivers packages.     | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/sled-group/driVLMe)                                                                            |
| **Factory Process Monitoring Agent**  | Manufacturing    | Monitors production lines and ensures quality control.   | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/yuchenxia/llm4ias)                                                                             |
| **Property Pricing Agent**            | Real Estate      | Analyzes market trends to determine property prices.     | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/AleksNeStu/ai-real-estate-assistant)                                                           |
| **Smart Farming Assistant**           | Agriculture      | Provides insights on crop health and yield predictions.  | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/mohammed97ashraf/LLM_Agri_Bot)                                                                 |
| **Energy Demand Forecasting Agent**   | Energy           | Predicts energy usage to optimize grid management.       | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/yecchen/MIRAI)                                                                                 |
| **Content Personalization Agent**     | Entertainment    | Recommends personalized media based on preferences.      | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/crosleythomas/MirrorGPT)                                                                       |
| **Legal Document Review Assistant**   | Legal            | Automates document review and highlights key clauses.    | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/firica/legalai)                                                                                |
| **Recruitment Recommendation Agent**  | Human Resources  | Suggests best-fit candidates for job openings.           | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/sentient-engineering/jobber)                                                                   |
| **Virtual Travel Assistant**          | Hospitality      | Plans travel itineraries based on preferences.           | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/nirbar1985/ai-travel-agent)                                                                    |
| **AI Game Companion Agent**           | Gaming           | Enhances player experience with real-time assistance.    | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/onjas-buidl/LLM-agent-game)                                                                    |
| **Real-Time Threat Detection Agent**  | Cybersecurity    | Identifies potential threats and mitigates attacks.      | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/NVISOsecurity/cyber-security-llm-agents)                                                       |
| **E-commerce Personal Shopper Agent** | E-commerce       | Helps customers find products they’ll love.             | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/Hoanganhvu123/ShoppingGPT)                                                                     |
| **Logistics Optimization Agent**      | Supply Chain     | Plans efficient delivery routes and manages inventory.   | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/microsoft/OptiGuide)                                                                           |
| **Vibe Hacking Agent**                | Cybersecurity    | Autonomous Multi-Agent Based Red Team Testing Service.   | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/PurpleAILAB/Decepticon) |
| **MediSuite-Ai-Agent**  | Health insurance  | A medical ai agent that helps automating the process of hospitals / insurance claiming workflow. | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/MahmoudRabea13/MediSuite-Ai-Agent)                                         | 
| **Lina-Egyptian-Medical-Chatbot**  | Health insurance  | A medical ai agent that helps automating the process of hospitals / insurance claiming workflow. | [![GitHub](https://img.shields.io/badge/Code-GitHub-black?logo=github)](https://github.com/MahmoudRabea13/MediSuite-Ai-Agent)                                         |

## Framework wise Usecases

---

### **Framework Name**: **CrewAI**

| Use Case                         | Industry                | Description                                                                                  | GitHub                                                                                                                                              |
| -------------------------------- | ----------------------- | -------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |
| 📧 Email Auto Responder Flow     | 🗣️ Communication        | Automates email responses based on predefined criteria to enhance communication efficiency.  | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/flows/email_auto_responder_flow) |
| 📝 Meeting Assistant Flow        | 🛠️ Productivity         | Assists in organizing and managing meetings, including scheduling and agenda preparation.    | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/flows/meeting_assistant_flow) |
| 🔄 Self Evaluation Loop Flow     | 👥 Human Resources      | Facilitates self-assessment processes within an organization, aiding in performance reviews. | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/flows/self_evaluation_loop_flow) |
| 📈 Lead Score Flow               | 💼 Sales                | Evaluates and scores potential leads to prioritize outreach in sales strategies.             | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/flows/lead-score-flow) |
| 📊 Marketing Strategy Generator  | 📢 Marketing            | Develops marketing strategies by analyzing market trends and audience data.                  | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/marketing_strategy) |
| 📝 Job Posting Generator         | 🧑‍💼 Recruitment          | Creates job postings by analyzing job requirements, aiding in recruitment processes.         | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/job-posting) |
| 🔄 Recruitment Workflow          | 🧑‍💼 Recruitment          | Streamlines the recruitment process by automating various tasks involved in hiring.          | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/recruitment) |
| 🔍 Match Profile to Positions    | 🧑‍💼 Recruitment          | Matches candidate profiles to suitable job positions to enhance recruitment efficiency.      | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/match_profile_to_positions) |
| 📸 Instagram Post Generator      | 📱 Social Media         | Generates and schedules Instagram posts automatically, streamlining social media management. | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/instagram_post)             |
| 🌐 Landing Page Generator        | 💻 Web Development      | Automates the creation of landing pages for websites, facilitating web development tasks.    | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator)     |
| 🎮 Game Builder Crew             | 🎮 Game Development     | Assists in the development of games by automating certain aspects of game creation.          | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/game-builder-crew)          |
| 💹 Stock Analysis Tool           | 💰 Finance              | Provides tools for analyzing stock market data to assist in financial decision-making.       | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis)             |
| 🗺️ Trip Planner                  | ✈️ Travel               | Assists in planning trips by organizing itineraries and managing travel details.             | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner)               |
| 🎁 Surprise Trip Planner         | ✈️ Travel               | Plans surprise trips by selecting destinations and activities based on user preferences.     | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/surprise_trip)              |
| 📚 Write a Book with Flows       | ✍️ Creative Writing     | Assists authors in writing books by providing structured workflows and writing assistance.   | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/flows/write_a_book_with_flows) |
| 🎬 Screenplay Writer             | ✍️ Creative Writing     | Aids in writing screenplays by offering templates and guidance for script development.       | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/screenplay_writer)          |
| ✅ Markdown Validator            | 📄 Documentation        | Validates Markdown files to ensure proper formatting and adherence to standards.             | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/markdown_validator)         |
| 🧠 Meta Quest Knowledge          | 📚 Knowledge Management | Manages and organizes knowledge related to Meta Quest, facilitating information retrieval.   | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/meta_quest_knowledge)       |
| 🤖 NVIDIA Models Integration     | 🤖 AI Integration       | Integrates NVIDIA AI models into workflows to enhance computational capabilities.            | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/integrations/nvidia_models) |
| 🗂️ Prep for a Meeting            | 🛠️ Productivity         | Assists in preparing for meetings by organizing materials and setting agendas.               | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/prep-for-a-meeting)         |
| 🛠️Starter Template               | 🛠️ Development          | Provides a starter template for new projects to streamline the setup process.                | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/starter_template)           |
| 🔗CrewAI + LangGraph Integration | 🤖 AI Integration       | Demonstrates integration between CrewAI and LangGraph for enhanced workflow automation.      | [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/crewAIInc/crewAI-examples/tree/main/integrations/CrewAI-LangGraph)           |


### **Framework Name**: **Autogen**

> **Code Generation, Execution, and Debugging**

| Use Case                                                                                | Industry                | Description                                                                       | Notebook                                                                                                                                                                   |
| --------------------------------------------------------------------------------------- | ----------------------- | --------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🤖 Automated Task Solving with Code Generation, Execution & Debugging                   | 💻 Software Development | Demonstrates automated task-solving by generating, executing, and debugging code. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution) |
| 🧑‍💻 Automated Code Generation and Question Answering with Retrieval Augmented Agents | 💻 Software Development | Generates code and answers questions using retrieval-augmented methods.           | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_RetrieveChat)                      |
| 🧠 Automated Code Generation and Question Answering with Qdrant-based Retrieval         | 💻 Software Development | Utilizes Qdrant for enhanced retrieval-augmented agent performance.               | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_RetrieveChat_qdrant)               |

> **Multi-Agent Collaboration (>3 Agents)**

| Use Case                                                                 | Industry                    | Description                                                         | Notebook                                                                                                                                                            |
| :----------------------------------------------------------------------- | :-------------------------- | :------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 🤝 Automated Task Solving by Group Chat (3 members, 1 manager)           | 🤝 Collaboration            | Demonstrates group task-solving via multi-agent collaboration.      | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat)                  |
| 📊 Automated Data Visualization by Group Chat (3 members, 1 manager)     | 📊 Data Analysis            | Uses multi-agent collaboration to create data visualizations.       | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_vis)              |
| 🧩 Automated Complex Task Solving by Group Chat (6 members, 1 manager)   | 🤝 Collaboration            | Solves complex tasks collaboratively with a larger group of agents. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_research)         |
| 🧑‍💻 Automated Task Solving with Coding & Planning Agents              | 🛠️ Planning & Development | Combines coding and planning agents for solving tasks effectively.  | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_planning.ipynb)             |
| 📐 Automated Task Solving with Transition Paths Specified in a Graph     | 🤝 Collaboration            | Uses predefined transition paths in a graph for solving tasks.      | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/docs/notebooks/agentchat_groupchat_finite_state_machine) |
| 🧠 Running a Group Chat as an Inner-Monologue via the SocietyOfMindAgent | 🧠 Cognitive Sciences       | Simulates inner-monologue for problem-solving using group chats.    | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_society_of_mind)            |
| 🔧 Running a Group Chat with Custom Speaker Selection Function           | 🤝 Collaboration            | Implements a custom function for speaker selection in group chats.  | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_customized)       |

> **Sequential Multi-Agent Chats**

| Use Case                                                                           | Industry               | Description                                                                      | Notebook                                                                                                                                                        |
| :--------------------------------------------------------------------------------- | :--------------------- | :------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🔄 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_multi_task_chats)       |
| ⏳ 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_multi_task_async_chats) |
| 🤝 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchats_sequential_chats)      |

> **Nested Chats**

| Use Case                                                                       | Industry                     | Description                                                                                                          | Notebook                                                                                                                                                         |
| :----------------------------------------------------------------------------- | :--------------------------- | :------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🧠 Solving Complex Tasks with Nested Chats                                     | 🧠 Problem Solving           | Uses nested chats to solve hierarchical and complex problems.                                                        | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat)              |
| 🔄 Solving Complex Tasks with A Sequence of Nested Chats                       | 🧠 Problem Solving           | Demonstrates sequential task-solving using nested chats.                                                             | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_sequential_chats) |
| 🏭 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat_optiguide)    |
| ♟️ Conversational Chess with Nested Chats and Tool Use                       | 🎮 Gaming                    | Explores the use of nested chats for playing conversational chess with integrated tools.                             | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_chats_chess)      |

> **Application**

| Use Case                                                                                           | Industry                     | Description                                                                                       | Notebook                                                                                                                                                      |
| :------------------------------------------------------------------------------------------------- | :--------------------------- | :------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 🔄 Automated Continual Learning from New Data                                                      | 📊 Machine Learning          | Continuously learns from new data inputs for adaptive AI.                                         | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_stream.ipynb)         |
| 🏭 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nestedchat_optiguide) |
| 🤖 AutoAnny - A Discord bot built using AutoGen                                                    | 💬 Communication Tools       | Showcases the development of a Discord bot using AutoGen for enhanced interaction.                | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/tree/main/samples/apps/auto-anny)                 |

> **Tools**

| Use Case                                                               | Industry                       | Description                                                                                  | Notebook                                                                                                                                                                         |
| :--------------------------------------------------------------------- | :----------------------------- | :------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🌐 Web Search: Solve Tasks Requiring Web Info                          | 🔍 Information Retrieval       | Searches the web to gather information required for completing tasks.                        | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_web_info.ipynb)                          |
| 🔧 Use Provided Tools as Functions                                     | 🛠️ Tool Integration          | Demonstrates how to use pre-provided tools as callable functions in AutoGen.                 | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_currency_calculator)       |
| 🔗 Use Tools via Sync and Async Function Calling                       | 🛠️ Tool Integration          | Illustrates synchronous and asynchronous tool usage within AutoGen workflows.                | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async)                     |
| 🧩 Task Solving with Langchain Provided Tools as Functions             | 🔍 Language Processing         | Leverages Langchain tools for task-solving within AutoGen.                                   | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_langchain.ipynb)                         |
| 📚 RAG: Group Chat with Retrieval Augmented Generation                 | 🤝 Collaboration               | Enables group chat with Retrieval Augmented Generation (RAG) to support information sharing. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_groupchat_RAG)                           |
| ⚙️ Function Inception: Update/Remove Functions During Conversations  | 🔧 Development Tools           | Allows AutoGen agents to modify their functions dynamically during conversations.            | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_inception_function.ipynb)                |
| 🔊 Agent Chat with Whisper                                             | 🎙️ Audio Processing          | Demonstrates AI agent capabilities for transcription and translation using Whisper.          | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_video_transcript_translate_with_whisper) |
| 📏 Constrained Responses via Guidance                                  | 💡 Natural Language Processing | Shows how to use guidance to constrain responses generated by agents.                        | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_guidance.ipynb)                          |
| 🌍 Browse the Web with Agents                                          | 🌐 Information Retrieval       | Explains how to configure agents to browse and retrieve information from the web.            | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_surfer.ipynb)                            |
| 📊 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_sql_spider.ipynb)                        |
| 🕸️ Web Scraping with Apify                                           | 🌐 Data Gathering              | Illustrates web scraping techniques with Apify using AutoGen.                                | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_webscraping_with_apify)                  |
| 🕷️ Web Crawling: Crawl Entire Domain with Spider API                 | 🌐 Data Gathering              | Explains how to crawl entire domains using the Spider API.                                   | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_webcrawling_with_spider)                 |
| 💻 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)        |

> **Human Development**

| Use Case                                                         | Industry                | Description                                                                                       | Notebook                                                                                                                                                      |
| :--------------------------------------------------------------- | :---------------------- | :------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 💬 Simple Example in ChatGPT Style                               | 🧠 Conversational AI    | Demonstrates a simple conversational example in the style of ChatGPT.                             | [![Example](https://img.shields.io/badge/View-Example-blue?logo=openai)](https://github.com/microsoft/autogen/blob/0.2/samples/simple_chat.py)                     |
| 🤖 Auto Code Generation, Execution, Debugging and Human Feedback | 💻 Software Development | Showcases code generation, execution, debugging with human feedback integrated into the workflow. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_human_feedback.ipynb) |
| 👥 Automated Task Solving with GPT-4 + Multiple Human Users      | 🤝 Collaboration        | Enables task solving with multiple human users collaborating with GPT-4.                          | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_two_users.ipynb)      |
| 🔄 Agent Chat with Async Human Inputs                            | 🧠 Conversational AI    | Supports asynchronous human input during agent conversations.                                     | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/Async_human_input.ipynb)        |

> **Agent Teaching and Learning**

| Use Case                                                             | Industry                    | Description                                                                              | Notebook                                                                                                                                                                |
| :------------------------------------------------------------------- | :-------------------------- | :--------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 📘 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_teaching)                       |
| 🧠 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_teachability)                   |
| 🤖 Teach OpenAI Assistants Through GPTAssistantAgent                 | 💻 AI Assistant Development | Illustrates how to enhance OpenAI assistants' capabilities using GPTAssistantAgent.      | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_teachable_oai_assistants.ipynb) |
| 🔄 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_agentoptimizer.ipynb)           |

> **Multi-Agent Chat with OpenAI Assistants in the loop**

| Use Case                                                  | Industry                 | Description                                                                   | Notebook                                                                                                                                                                     |
| :-------------------------------------------------------- | :----------------------- | :---------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🌟 Hello-World Chat with OpenAI Assistant in AutoGen      | 🤖 Conversational AI     | A basic example of chatting with OpenAI Assistant using AutoGen.              | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_twoagents_basic.ipynb) |
| 🔧 Chat with OpenAI Assistant using Function Call         | 🔧 Development Tools     | Illustrates how to use function calls with OpenAI Assistant in chats.         | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_function_call.ipynb)   |
| 🧠 Chat with OpenAI Assistant with Code Interpreter       | 💻 Software Development  | Demonstrates the use of OpenAI Assistant as a code interpreter in chats.      | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_code_interpreter.ipynb)          |
| 🔍 Chat with OpenAI Assistant with Retrieval Augmentation | 📚 Information Retrieval | Enables retrieval-augmented conversations with OpenAI Assistant.              | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_retrieval.ipynb)       |
| 🤝 OpenAI Assistant in a Group Chat                       | 🤝 Collaboration         | Shows how OpenAI Assistant can collaborate with other agents in a group chat. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_oai_assistant_groupchat.ipynb)       |
| 🛠️ GPTAssistantAgent based Multi-Agent Tool Use         | 🔧 Development Tools     | Explains how to use GPTAssistantAgent for multi-agent tool usage.             | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/gpt_assistant_agent_function_call.ipynb)       |

> **Non-OpenAI Models**

| Use Case                                          | Industry  | Description                                                       | Notebook                                                                                                                                                              |
| :------------------------------------------------ | :-------- | :---------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| ♟️ Conversational Chess using Non-OpenAI Models | 🎮 Gaming | Explores conversational chess implemented with non-OpenAI models. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_nested_chats_chess_altmodels) |

> **Multimodal Agent**

| Use Case                                       | Industry            | Description                                                                       | Notebook                                                                                                                                                       |
| :--------------------------------------------- | :------------------ | :-------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🎨 Multimodal Agent Chat with DALLE and GPT-4V | 🖼️ Multimedia AI  | Combines DALLE and GPT-4V for multimodal agent communication.                     | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_dalle_and_gpt4v.ipynb) |
| 🖌️ Multimodal Agent Chat with Llava          | 📷 Image Processing | Uses Llava for enabling multimodal agent conversations with image processing.     | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_lmm_llava.ipynb)       |
| 🖼️ Multimodal Agent Chat with GPT-4V         | 🖼️ Multimedia AI  | Leverages GPT-4V for visual and conversational interactions in multimodal agents. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_lmm_gpt-4v.ipynb)      |

> **Long Context Handling**

| Use Case                                 | Industry         | Description                                                                        | Notebook                                                                                                                                                    |
| :--------------------------------------- | :--------------- | :--------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 📜 Long Context Handling as A Capability | 🧠 AI Capability | Demonstrates techniques for handling long context effectively within AI workflows. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_transform_messages) |

> **Evaluation and Assessment**

| Use Case                                                                             | Industry                  | Description                                                                                  | Notebook                                                                                                                                               |
| :----------------------------------------------------------------------------------- | :------------------------ | :------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------- |
| 📊 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agenteval_cq_math.ipynb) |

> **Automatic Agent Building**

| Use Case                                                      | Industry          | Description                                                                           | Notebook                                                                                                                                                     |
| :------------------------------------------------------------ | :---------------- | :------------------------------------------------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🏗️ Automatically Build Multi-agent System with AgentBuilder | 🤖 AI Development | Explains how to automatically build multi-agent systems using the AgentBuilder tool.  | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/autobuild_basic.ipynb)         |
| 📚 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/autobuild_agent_library.ipynb) |

> **Observability**

| Use Case                                                          | Industry                  | Description                                                                          | Notebook                                                                                                                                                |
| :---------------------------------------------------------------- | :------------------------ | :----------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 📊 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://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_agentops.ipynb) |

> **Enhanced Inferences**

| Use Case                                                               | Industry           | Description                                                                                | Notebook                                                                                                                                                                     |
| :--------------------------------------------------------------------- | :----------------- | :----------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🔗 API Unification                                                     | 🔧 API Management  | Explains how to unify API usage with documentation and code examples.                      | [![Documentation](https://img.shields.io/badge/View-Documentation-blue?logo=readthedocs)](https://microsoft.github.io/autogen/docs/Use-Cases/enhanced_inference/#api-unification) |
| ⚙️ Utility Functions to Help Managing API Configurations Effectively | 🔧 API Management  | Demonstrates utility functions to manage API configurations more effectively.              | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://microsoft.github.io/autogen/0.2/docs/topics/llm_configuration)                                |
| 💰 Cost Calculation                                                    | 📈 Cost Management | Introduces methods for tracking token usage and estimating costs for LLM interactions.     | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_cost_token_tracking.ipynb)           |
| ⚡ Optimize for Code Generation                                        | 📊 Optimization    | Highlights cost-effective optimization techniques for improving code generation with LLMs. | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/oai_completion.ipynb)                          |
| 📐 Optimize for Math                                                   | 📊 Optimization    | Explains techniques to optimize LLM performance for solving mathematical problems.         | [![Notebook](https://img.shields.io/badge/View-Notebook-blue?logo=jupyter)](https://github.com/microsoft/autogen/blob/0.2/notebook/oai_chatgpt_gpt4.ipynb)                        |

### **Framework Name**: **Agno**

> **UseCase**

| Use Case                           | Industry                                         | Description                                                                                                                                                                                                                                         | Notebook                                                                                                                                                                                                       |
| :--------------------------------- | :----------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 🤖 Support Agent                   | 💻 Software Development / AI / 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/agno_support_agent.py)         |
| 🎥 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/youtube_agent.py)              |
| 📊 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/thinking_finance_agent.py)     |
| 📚 Study Partner                   | 🎓 Education                                     | Assists users in learning by finding resources, answering questions, and creating study plans.                                                                                                                                                      | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/study_partner.py)              |
| 🛍️ 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/shopping_partner.py)           |
| 🎓 Research Scholar Agent          | 🧠 Education / 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/research_agent_exa.py)         |
| 🧠 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/research_agent.py)             |
| 🍳 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/recipe_creator.py)             |
| 🗞️ 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/finance_agent.py)              |
| 🧠 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/reasoning_finance_agent.py)    |
| 🤖 Readme Generator Agent          | 💻 Software Dev                                  | Agent generates high-quality READMEs for GitHub repositories using repo metadata.                                                                                                                                                                   | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/readme_generator.py)           |
| 🎬 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/movie_recommedation.py)        |
| 🔍 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/media_trend_analysis_agent.py) |
| ⚖️ 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/legal_consultant.py)           |
| 🤔 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/deep_knowledge.py)             |
| 📚 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/book_recommendation.py)        |
| 🏠 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/airbnb_mcp.py)                 |
| 🤖 Assist	 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/agno-agi/agno/blob/main/cookbook/examples/agents/agno_assist.py)                |

### **Framework Name**: **Langgraph**

> **UseCase**

| Use Case                              | Industry                      | Description                                                  | Notebook                                                     |
| :------------------------------------ | :---------------------------- | :----------------------------------------------------------- | :----------------------------------------------------------- |
| 🤖 Chatbot Simulation Evaluation       | 💻 💬 AI / Quality Assurance    | Simulate user interactions to evaluate chatbot performance, ensuring robustness and reliability in real-world scenarios. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb) |
| 🧠 Information Gathering via Prompting | 🧠 AI / 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb) |
| 🧠 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb) |
| 🧑‍💼 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/customer-support/customer-support.ipynb) |
| 🔁 Extraction with Retries             | 🧠 AI / 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/extraction/retries.ipynb) |
| 🧠 Multi-Agent Workflow                | 🧠 AI / 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://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb) |
| 🧠 Hierarchical Agent Teams            | 🧠 AI / Workflow Orchestration | This tutorial demonstrates how to build a hierarchical agent system using LangGraph. It guides you through creating a top-level supervisor agent that delegates tasks to specialized sub-agents, enabling complex workflows with clear task delegation and communication. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb) |
| 🤝 Multi-Agent Collaboration           | 🧠 AI / Workflow Orchestration | This tutorial demonstrates how to implement multi-agent collaboration using LangGraph. It guides you through creating multiple specialized agents that work together to accomplish a complex task, showcasing the power of agent collaboration in AI workflows. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb) |
| 🧠 Plan-and-Execute Agent              | 🧠 AI / Workflow Orchestration | This tutorial demonstrates how to build a "Plan-and-Execute" style agent using LangGraph. It guides you through creating an agent that first generates a multi-step plan and then executes each step sequentially, revisiting and modifying the plan as necessary. This approach is inspired by the Plan-and-Solve paper and the Baby-AGI project, aiming to enhance long-term planning and task execution in AI workflows. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb) |
| 🧠 SQL Agent | 🧠 AI / Database Interaction | This tutorial demonstrates how to build an agent that can answer questions about a SQL database. The agent fetches available tables, determines relevance to the question, retrieves schemas, generates a query, checks for errors, executes it, and formulates a response. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/sql-agent.ipynb) |
| 🧠 Reflection Agent | 🧠 AI / Workflow Orchestration | This tutorial demonstrates how to build a reflection agent using LangGraph. It guides you through creating an agent that can critique and revise its own outputs, enhancing the quality and reliability of generated content. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflection/reflection.ipynb)|
| 🧠 Reflexion Agent | 🧠 AI / Workflow Orchestration | This tutorial demonstrates how to build a reflexion agent using LangGraph. It guides you through creating an agent that can reflect on its actions and outcomes, enabling iterative improvement and more accurate decision-making in complex workflows. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflexion/reflexion.ipynb)|
| **LangGraph Agentic RAG**           |                               |                                                              |                                                              |
| 🧠 **Adaptive RAG**           | 🧠 AI / Information Retrieval | This tutorial demonstrates how to build an Adaptive RAG system using LangGraph. It guides you through creating a dynamic retrieval process that adjusts based on query complexity, enhancing the efficiency and accuracy of information retrieval. | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb) |
| 🧠 **Adaptive RAG (Local)**   | 🧠 AI / Information Retrieval | This tutorial focuses on implementing Adaptive RAG with local models, allowing for offline retrieval and generation, which is crucial for environments with limited internet access or privacy concerns.                                           | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb) |
| 🤖 **Agentic RAG**            | 🤖 AI / Intelligent Agents    | Learn to build an Agentic RAG system where an agent determines the best retrieval strategy before generating a response, improving the relevance and accuracy of answers.                                                                          | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb) |
| 🤖 **Agentic RAG (Local)**    | 🤖 AI / Intelligent Agents    | This tutorial extends Agentic RAG to local environments, enabling the use of local models and data sources for retrieval and generation tasks.                                                                                                     | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_agentic_rag_local.ipynb) |
| 🧠 **Corrective RAG (CRAG)**  | 🧠 AI / Information Retrieval | Implement a Corrective RAG system that evaluates and refines retrieved documents before passing them to the generator, ensuring higher-quality outputs.                                                                                            | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_crag.ipynb) |
| 🧠 **Corrective RAG (Local)** | 🧠 AI / Information Retrieval | This tutorial focuses on building a Corrective RAG system using local resources, allowing for offline document evaluation and refinement processes.                                                                                                | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_crag_local.ipynb)       |
| 🧠 **Self-RAG**               | 🧠 AI / Information Retrieval | Learn to implement Self-RAG, where the system reflects on its responses and retrieves additional information if necessary, enhancing the accuracy and relevance of generated content.                                                              | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_self_rag.ipynb)                       |
| 🧠 **Self-RAG (Local)**       | 🧠 AI / Information Retrieval | This tutorial demonstrates how to implement Self-RAG using local models and data sources, enabling offline reflection and retrieval processes.                                                                                                     | [![AI Agent Code - Python](https://img.shields.io/static/v1?label=AI+Agent+Code&message=Python&color=%23244cd1)](https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb)         |





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## 🤝 Contributing

Contributions are welcome! 🎉 Here's how you can help:

1. Fork the repository.
2. Add a new use case or improve an existing one.
3. Submit a pull request with your changes.

Please follow our [Contributing Guidelines](CONTRIBUTING.md) for more details.

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## 📜 License

This repository is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.

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## 🚀 Let's Build Together!

Feel free to share this repository with your network and star ⭐ it if you find it useful. Let’s collaborate to create the ultimate resource for AI agent use cases!
