Build Your First AI Agent with GenAI_Agents: GitHub Repository Guide
Artificial Intelligence is transforming the way we interact with technology. NirDiamantβs GenAI_Agents repository is an invaluable resource for developers, researchers, and enthusiasts to build their first AI agent using frameworks like LangChain, LangGraph, MCP, and more. In this guide, we cover every agent, overview, and implementation to help you start your AI journey.
Why Build Your First AI Agent?
Building an AI agent allows you to:
- Automate repetitive tasks
- Enhance productivity and decision-making
- Solve complex problems efficiently
- Advance your career in AI and software development
- Innovate in multiple domains like business, education, and creative industries
GenAI Agent Implementations
The GenAI_Agents repository features 45 AI agents, categorized by functionality. Below is a detailed overview:
| # | Category | Agent Name | Framework | Key Features |
|---|---|---|---|---|
| 1 | π± Beginner | Simple Conversational Agent | LangChain/PydanticAI | Context-aware conversations, history management |
| 2 | π± Beginner | Simple Question Answering | LangChain | Query understanding, concise answers |
| 3 | π± Beginner | Simple Data Analysis | LangChain/PydanticAI | Dataset interpretation, natural language queries |
| 4 | π§ Framework | Introduction to LangGraph | LangGraph | Modular AI workflows, state management |
| 5 | π§ Framework | Model Context Protocol (MCP) | MCP | AI-external resource integration |
| 6 | π Educational | ATLAS: Academic Task System | LangGraph | Multi-agent academic planning, note-taking |
| 7 | π Educational | Scientific Paper Agent | LangGraph | Literature review automation |
| 8 | π Educational | Chiron – Feynman Learning | LangGraph | Adaptive learning, checkpoint system |
| 9 | πΌ Business | Customer Support Agent | LangGraph | Query categorization, sentiment analysis |
| 10 | πΌ Business | Essay Grading Agent | LangGraph | Automated grading, multiple criteria |
| 11 | πΌ Business | Travel Planning Agent | LangGraph | Personalized itineraries |
| 12 | πΌ Business | GenAI Career Assistant | LangGraph | Career guidance, learning paths |
| 13 | πΌ Business | Project Manager Assistant | LangGraph | Task generation, risk assessment |
| 14 | πΌ Business | Contract Analysis Assistant | LangGraph | Clause analysis, compliance checking |
| 15 | πΌ Business | E2E Testing Agent | LangGraph | Test automation, browser control |
| 16 | π¨ Creative | GIF Animation Generator | LangGraph | Text-to-animation pipeline |
| 17 | π¨ Creative | TTS Poem Generator | LangGraph | Text classification, speech synthesis |
| 18 | π¨ Creative | Music Compositor | LangGraph | AI music composition |
| 19 | π¨ Creative | Content Intelligence | LangGraph | Multi-platform content generation |
| 20 | π¨ Creative | Business Meme Generator | LangGraph | Brand-aligned meme creation |
| 21 | π¨ Creative | Murder Mystery Game | LangGraph | Procedural story generation |
| 22 | π Analysis | Memory-Enhanced Conversational | LangChain | Short/long-term memory integration |
| 23 | π Analysis | Multi-Agent Collaboration | LangChain | Historical research, data analysis |
| 24 | π Analysis | Self-Improving Agent | LangChain | Learning from interactions |
| 25 | π Analysis | Task-Oriented Agent | LangChain | Text summarization, translation |
| 26 | π Analysis | Internet Search Agent | LangChain | Web research, summarization |
| 27 | π Analysis | Research Team – Autogen | AutoGen | Multi-agent research collaboration |
| 28 | π Analysis | Sales Call Analyzer | LangGraph | Audio transcription, NLP analysis |
| 29 | π Analysis | Weather Emergency System | LangGraph | Real-time data processing |
| 30 | π Analysis | Self-Healing Codebase | LangGraph | Error detection, automated fixes |
| 31 | π Analysis | DataScribe | LangGraph | Database exploration, query planning |
| 32 | π Analysis | Memory-Enhanced Email | LangGraph | Email triage, response generation |
| 33 | π° News | News TL;DR | LangGraph | News summarization, API integration |
| 34 | π° News | AInsight | LangGraph | AI/ML news aggregation |
| 35 | π° News | Journalism Assistant | LangGraph | Fact-checking, bias detection |
| 36 | π° News | Blog Writer | OpenAI Swarm | Collaborative content creation |
| 37 | π° News | Podcast Generator | LangGraph | Content search, audio generation |
| 38 | ποΈ Shopping | ShopGenie | LangGraph | Product comparison, recommendations |
| 39 | ποΈ Shopping | Car Buyer Agent | LangGraph | Web scraping, decision support |
| 40 | π― Task Management | Taskifier | LangGraph | Work style analysis, task breakdown |
| 41 | π― Task Management | Grocery Management | CrewAI | Inventory tracking, recipe suggestions |
| 42 | π QA | LangGraph Inspector | LangGraph | System testing, vulnerability detection |
| 43 | π QA | EU Green Deal Bot | LangGraph | Regulatory compliance, FAQ system |
| 44 | π QA | Systematic Review | LangGraph | Academic paper processing, draft generation |
| 45 | π Advanced | Controllable RAG Agent | Custom | Complex question answering, deterministic graph |
Beginner-Friendly Agents
Simple Conversational Agent
Framework: LangChain / PydanticAI
Overview: Maintains conversational context across sessions for natural dialogues.
Implementation: Combines a language model, prompt templates, and a history manager.
Simple Question Answering Agent
Framework: LangChain
Overview: Answers user questions concisely using OpenAI GPT models.
Implementation: Uses LLMChain and prompt templates to process queries efficiently.
Simple Data Analysis Agent
Framework: LangChain / PydanticAI
Overview: Interprets datasets and answers natural language queries.
Implementation: Integrates a language model with data manipulation tools for intuitive analysis.
Framework Tutorials
Introduction to LangGraph
Overview: Learn modular AI workflows with graph-based nodes and state management.
Implementation: Build StateGraph workflows with text analysis pipelines for complex AI architectures.
Model Context Protocol (MCP)
Overview: Integrate AI agents with external tools and resources for context-aware capabilities.
Implementation: MCP server and client setup for API/data integration with AI models.
Educational Agents
ATLAS: Academic Task System
Framework: LangGraph
Overview: Multi-agent system for academic planning, note-taking, and advisory tasks.
Implementation: Coordinator, Planner, Notewriter, and Advisor agents collaborate via LangGraph workflows.
Scientific Paper Agent
Overview: Automates literature reviews and academic summaries.
Chiron – Feynman Learning
Overview: Adaptive learning agent with checkpoints to track learning progress.
Customer Support Agent
Framework: LangGraph
Overview: Categorizes queries and performs sentiment analysis to provide automated support.
Essay Grading Agent
Framework: LangGraph
Overview: Automates essay grading using multiple evaluation criteria for consistency and speed.
Travel Planning Agent
Framework: LangGraph
Overview: Generates personalized travel itineraries and recommendations based on user preferences.
GenAI Career Assistant
Framework: LangGraph
Overview: Provides career guidance, recommended learning paths, and personalized advice for professional growth.
Project Manager Assistant
Framework: LangGraph
Overview: Generates tasks, assesses risks, and manages project timelines efficiently.
Contract Analysis Assistant
Framework: LangGraph
Overview: Analyzes clauses and ensures compliance in legal contracts using AI-powered parsing.
E2E Testing Agent
Framework: LangGraph
Overview: Automates browser testing and end-to-end workflow testing for applications.
GIF Animation Generator
Framework: LangGraph
Overview: Converts text descriptions into GIF animations using AI pipelines.
TTS Poem Generator
Framework: LangGraph
Overview: Generates poems and converts them to speech using text classification and TTS synthesis.
Music Compositor
Framework: LangGraph
Overview: AI-driven music composition for creative projects, generating melodies and harmonies.
Content Intelligence
Framework: LangGraph
Overview: Generates multi-platform content and insights using AI-powered text analysis.
Business Meme Generator
Framework: LangGraph
Overview: Creates brand-aligned memes automatically for social media engagement.
Murder Mystery Game
Framework: LangGraph
Overview: Procedurally generates story-driven murder mystery games for interactive entertainment.
Memory-Enhanced Conversational
Framework: LangChain
Overview: Conversational agent with short-term and long-term memory integration for smarter interactions.
Multi-Agent Collaboration
Framework: LangChain
Overview: Supports historical research and data analysis using multiple AI agents collaborating.
Self-Improving Agent
Framework: LangChain
Overview: Learns from interactions to improve performance and adapt over time.
Task-Oriented Agent
Framework: LangChain
Overview: Performs text summarization, translation, and goal-directed tasks.
Internet Search Agent
Framework: LangChain
Overview: Conducts web research and summarizes results efficiently.
Research Team – Autogen
Framework: AutoGen
Overview: Multi-agent collaboration system for research projects and data collection.
Sales Call Analyzer
Framework: LangGraph
Overview: Transcribes and analyzes sales calls using NLP for insights and improvement.
Weather Emergency System
Framework: LangGraph
Overview: Processes real-time weather data for emergency alerts and notifications.
Self-Healing Codebase
Framework: LangGraph
Overview: Detects errors and applies automated fixes to maintain code health.
DataScribe
Framework: LangGraph
Overview: Explores databases and generates query plans using AI assistance.
Memory-Enhanced Email
Framework: LangGraph
Overview: AI-assisted email triage and response generation with memory integration.
News TL;DR
Framework: LangGraph
Overview: Summarizes news articles and integrates with APIs for real-time content.
AInsight
Framework: LangGraph
Overview: Aggregates AI/ML news and insights in one centralized platform.
Journalism Assistant
Framework: LangGraph
Overview: Performs fact-checking, bias detection, and news validation for journalists.
Blog Writer
Framework: OpenAI Swarm
Overview: Collaborative AI content creation for blogs and articles.
Podcast Generator
Framework: LangGraph
Overview: Generates podcasts using AI-based content search and audio generation.
ShopGenie
Framework: LangGraph
Overview: Compares products and provides recommendations for smart shopping.
Car Buyer Agent
Framework: LangGraph
Overview: Supports decisions for car buyers using web scraping and AI analysis.
Taskifier
Framework: LangGraph
Overview: Breaks down work styles and tasks for efficient task management.
Grocery Management
Framework: CrewAI
Overview: Tracks inventory and suggests recipes for efficient grocery management.
LangGraph Inspector
Framework: LangGraph
Overview: System testing and vulnerability detection using AI agents.
Getting Started
Follow these steps to build your first AI agent:
- Clone the repository:
git clone https://github.com/NirDiamant/GenAI_Agents.git
- Install dependencies:
pip install -r requirements.txt
- Explore agents: Start with beginner-friendly agents like the Conversational Agent or QA Agent.
- Modify & Experiment: Add features, datasets, or integrate APIs to enhance functionality.
- Deploy: Use your preferred environment to run your AI agent.
Conclusion
NirDiamantβs GenAI_Agents repository is a comprehensive resource for AI enthusiasts. From beginner-friendly agents to advanced multi-agent systems, it equips you to build intelligent, context-aware AI solutions. Start today and explore how AI agents can transform your workflows, learning, and creative projects.
FAQ: GenAI Agents
Q1: What is the GenAI_Agents repository?
A: GenAI_Agents is a GitHub repository by NirDiamant that contains over 45 AI agents, ranging from beginner-friendly conversational agents to advanced multi-agent systems, built with frameworks like LangChain, LangGraph, MCP, and AutoGen.
Q2: Can beginners create AI agents using this repository?
A: Yes! The repository includes beginner-friendly agents such as the Simple Conversational Agent, Simple Question Answering Agent, and Simple Data Analysis Agent, which are perfect for learning AI development basics.
Q3: What frameworks are used in GenAI_Agents?
A: Major frameworks include LangChain, LangGraph, PydanticAI, AutoGen, MCP, CrewAI, and OpenAI Swarm. Each framework is designed for specific agent functionalities like data analysis, multi-agent workflows, and content generation.
Q4: How can I deploy my AI agent?
A: After cloning the repository, install dependencies with pip install -r requirements.txt, explore the sample agents, modify code as needed, and run your agent in your preferred Python environment.
Q5: Are there AI agents for business and creative use?
A: Yes! Agents like the Project Manager Assistant, GenAI Career Assistant, GIF Animation Generator, Music Compositor, and Business Meme Generator target business, content creation, and entertainment applications.
Q6: Where can I access the GenAI_Agents code?
A: You can access all agents and code at the official GitHub repository: https://github.com/NirDiamant/GenAI_Agents
