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GenAI_Agents

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Basic Information

This repository is a comprehensive, example-driven collection of Generative AI agent tutorials and implementations intended to teach and demonstrate how to design, build, and experiment with AI agents. It gathers dozens of notebooks and ready-to-run examples that span beginner conversational bots, question answering, data analysis agents, and advanced multi-agent workflows such as ATLAS, research teams, and controllable RAG systems. The repo emphasizes practical patterns and orchestration techniques using frameworks like LangGraph and LangChain, and covers integration standards such as the Model Context Protocol (MCP). It is community-oriented with contribution guidelines and companion learning resources, and it organizes agents by category so readers can explore topics like memory-enhanced conversation, RAG pipelines, testing and QA agents, creative content generation, and automation for business workflows.

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Stars
15789
App URL
https://github.com/NirDiamant/GenAI_Agents
Github Repository
https://github.com/NirDiamant/GenAI_Agents/blob/main/README.md

Categorization

App Details

Features
Includes step-by-step Jupyter notebooks and modular tutorials that progress from simple conversational and QA agents to advanced multi-agent systems and RAG solutions. Framework-focused content covers LangGraph state graphs, LangChain integrations, MCP server/client examples, and multi-agent orchestration patterns. Practical implementations demonstrate memory systems, vectorstores and embeddings, document processing, web scraping, browser automation, audio transcription, TTS, image generation and media pipelines. Notable components used across examples include OpenAI models, DALL·E, Whisper, Pinecone, ChromaDB, FAISS, Playwright, Tavily/DuckDuckGo search, music21 and tooling for structured outputs with Pydantic and TypedDict. The repo groups dozens of categorized agents (education, business, creative, QA, shopping, analytics) with reusable patterns, error-handling, validation and human-in-the-loop steps.
Use Cases
This collection helps developers, researchers and educators prototype, learn and adopt agent design patterns and production-ready workflows. Users can follow curated notebooks to replicate examples, adapt orchestration graphs, and combine tools such as vector stores, retrieval-augmented generation, memory modules and external APIs. The repository surfaces practical solutions for common agent tasks like literature review automation, contract analysis, project planning, self-healing code, sales call analysis and content generation, enabling faster experimentation and knowledge transfer. It also links to companion projects and deeper guides for productionization and RAG techniques, and supports community contributions so practitioners can extend patterns, reproduce experiments, and apply examples to real-world problems while observing the repo"s licensing constraints.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

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