🚀 Gen-AI-Experiments

A curated collection of 130+ production-ready Gen AI apps, agents, installable Agent Skills, MCP servers, and latest-model cookbooks. Built with Claude, GPT-5, Gemini 3, Qwen, GLM, the Model Context Protocol, LangChain, RAG, and Multi-Agent Teams.

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🤔 Why Gen-AI-Experiments?

• 🧩 Installable Agent Skills - Reusable SKILL.md capabilities for Claude Code, Cowork, and Codex — from landing pages and talking avatars to prompt optimization and QA review
• 🔌 MCP-Native - Model Context Protocol servers, clients, and integrations you can plug straight into your agents
• 🧠 Latest Models, Day One - Hands-on cookbooks for Claude Opus 4.8, GPT-5.5, Gemini 3, Qwen3.6, GLM-5, Kimi K2.7, DeepSeek V4, and more
• 💡 Learn by Building - 130+ production-ready applications and experiments you can run, modify, and learn from
• 🎓 From Beginner to Advanced - Structured learning path with starter, intermediate, and advanced projects
• 🌍 Multi-Language Support - Projects supporting English, Hindi, and other Indian languages
• 📚 100+ Libraries Covered - Tutorials across LangChain, LlamaIndex, CrewAI, AG2, Weaviate, and 90+ more AI/ML libraries

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🧩 Agent Skills

Installable, model-agnostic Agent Skills — each a self-contained SKILL.md (plus optional scripts/, references/, and assets/) that teaches an agent a repeatable workflow. Drop them into Claude Code, Cowork, or Codex. See the Skills index → for full details.

🎨 Build & Ship Skills

• Landing Page Generator - High-converting landing pages as production HTML with PAS/AIDA/BAB copy frameworks, CTA strategy, SEO meta, and conversion/speed audits
• Talking Avatar - Realtime voice-chat apps with a lip-synced character avatar on OpenAI Realtime (Vite/Next.js, BYOK)
• Crazy Ecommerce Builder - Turn a brand brief into an art-directed storefront with original ImageGen product photography

🖥️ Frontend Skill Pack — skills/frontend-skills/

• Frontend Core & Tailwind Component Factory
• Style systems: Glass UI, Neo-Brutalism, Minimal Luxury, Bold SaaS, Editorial, Retro-Futurist

🛠️ Backend Skill Pack — skills/backend-skills/

• MCP Server Builder - Scaffold production MCP servers
• Next.js Route Handler, MERN Auth Best Practices, Mongoose Schema Architect

📝 Docs & Research Skill Pack — skills/docs-writing-research-skills/

• README Architect · Research Synthesizer · Deck Outline Generator

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🔌 MCP Servers & Tools

The Model Context Protocol is the open standard for connecting agents to tools and data. This repo ships MCP servers, clients, integrations, and runnable examples under mcp/.

• Launch MCP 🚀 - Zero-dependency MCP server that turns any GitHub repo into a complete launch kit: repo analysis, release notes, changelog, blog post, X/Reddit/HN/LinkedIn posts, an interactive HTML demo, and an SVG share card. Tools: analyze_repo, generate_share_card.
• MCP-Use App - Reference client showing how to wire MCP tools into an agent loop
• MCP Workshop - Guided, hands-on notebook for building your first MCP server and client
• AG2 + MCP Client - Multi-agent GroupChat with tool use over MCP

Contributing an MCP project? Servers go in mcp/servers/, clients in mcp/clients/, integrations in mcp/integrations/, and runnable demos in mcp/examples/.

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🧠 Latest Model Cookbooks

Day-one testing notebooks for the newest frontier and open models, organized by provider under cookbooks/models/.

🟣 Anthropic Claude

• Claude Opus 4.8 · Opus 4.7 · Opus 4.6 Fast
• Sonnet 4.6 · Sonnet 4.5 · Haiku 4.5

🟢 OpenAI

• GPT-5.5 · GPT-5.4 · GPT-5.4 Mini/Nano
• Voice Intelligence · Structured Outputs · GPT-OSS

🔵 Google Gemini

• Gemini 3.5 Flash · 3.1 Pro Preview · 3.1 Flash Live · 3.1 Flash Lite
• Gemini 3.0 Structured Output · Embedding 2 · Code Execution

🟠 Qwen

• Qwen3.6 Max Preview · Qwen3.6 Plus · Qwen3.6 27B · Qwen3 Coder Next

🔴 Zhipu GLM

• GLM-5.2 · GLM-5.1 · GLM-5 · GLM OCR

⚫ More Frontier & Open Models

• Moonshot Kimi: K2.7 Code · K2.6
• DeepSeek: V4 Pro · V4 Flash
• Grok Code Fast · MiniMax M2 · Mistral Devstral · Voxtral
• Indic & Multilingual: Sarvam 30B/105B · Sutra · Llama 3 on Indic

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🛠️ Tools & Tool-Calling

Function-calling, tool orchestration, and model-side tool use — the plumbing that turns a chat model into an agent.

• Tool Use Validator - Validate function-calling JSON payloads against a schema before execution
• Prompt Optimizer (CoT) - Rewrite raw tasks into robust Chain-of-Thought prompts with verification
• Agent Output Critic - Strict QA review for hallucinations, security, and logic flaws before delivery
• Git Conventional Commits - Generate Conventional Commits and PR writeups from real diffs
• Function Calling with Gemma - Local tool-calling with open Gemma models
• Gadget Comparator (Gemini URL Context) - Grounded product analysis using Gemini's URL-context tool

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📂 Featured AI Projects

🌱 Starter Projects

Perfect for beginners getting started with Gen AI:

• LangChain Basics - Build intelligent workflows with LangChain
• Fine-Tuning with Nebius Token Factory - LoRA fine-tuning for custom LLMs
• Getting Started with Pydantic AI - Type-safe AI development
• CrewAI Essentials - Quick start guide for multi-agent systems
• Hugging Face Transformers - Foundation for Gen AI and NLP
• LlamaIndex - Intelligent data integration for LLMs
• ChromaDB - Vector database for embeddings

🧠 Intermediate Projects

Build more complex AI systems:

• AutoGen Multi-Agent System - Collaborative AI agents
• AG2 Multi-Agent AI Systems - GroupChat, tool use, MCP client with AG2 (formerly AutoGen)
• LangGraph Multi-Agent Swarm - Advanced agent orchestration
• CSV Agents - Data analysis with LangChain & LlamaIndex
• AI Customer Support Agent - Production-ready support system
• RAG Systems - Advanced retrieval-augmented generation

🚀 Advanced Projects

Production-grade implementations and cutting-edge research:

• Cerebras Inference Comparison - High-performance model benchmarking
• Deep Stock Research Agent - Multi-step autonomous financial research
• Model Evaluation Cookbooks - Comprehensive provider-by-provider model testing
• Advanced RAG Architectures - Sophisticated retrieval systems

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🎯 40+ Production-Ready Applications

🤖 Chat & Communication

• Chat with QWEN3 Coder - Advanced coding assistant powered by QWEN
• Chat with PDF or Webpage - Extract and interact with document content
• Chat with GPT-OSS - Open-source GPT interface
• Sutra V2 Multilingual Chatbot - Support for Hindi and Indian languages
• Vibe Voice TTS - Text-to-speech application

🎮 Games & Entertainment

• Chess Playing Agents - AI chess opponents with GLM model
• OpenAI Gemini Chess - Multi-model chess game
• QWEN Game Generator - Automated game creation
• World's Fastest Game Generator - Rapid game development with QWEN3

📚 Education & Learning

• Multilingual Quiz Generator - Create quizzes in multiple languages
• QnA Generator - Automated question generation
• Origami Tutorial Generator - Creative step-by-step tutorials
• Indian Language Quiz - Regional language support
• Language Learner - Interactive language learning platform
• Visual Question Generator - Image-based question creation

💼 Business & Productivity

• AI Business Consultant - Strategic business advisor
• AI Ad Generator - Marketing content creation
• Finance AgentOS - Financial analysis and insights
• Stock Market Agent - Real-time market analysis
• Deep Stock Research Agent - Advanced financial research
• Marketing Automation - Automated marketing campaigns

🔍 Research & Analysis

• Perplexity AI Research Assistant - AI-powered research automation
• Cerebras Search - Ultra-fast search engine
• Personalized Search Agent - Customized search experience
• Similarity Analyzer - Content comparison with Venn diagrams

🛠️ Development Tools

• GitHub README Generator - Auto-generate documentation
• Browser Automation - Web automation interface
• World's Fastest Website Generator - Instant web development
• Book Writer AI - Automated content creation
• LLM-friendly Web Scraper - Intelligent web scraping

🌐 Latest AI Integrations

• Gemini 2.0 Multimodal - Google's multimodal AI
• News to Blog Automator - Content transformation pipeline
• Gadget Comparator - Product analysis with Gemini
• Chroma Cloud RAG - Cloud-based retrieval system
• MCP Implementation - Model Context Protocol
• TypeSafe Agno - Type-safe AI development
• NextJS Image Workflow - Advanced image processing

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🗂️ Repository Structure + Top Cookbooks

Quick directory map to help contributors and learners navigate faster.

skills/

• Definition: Installable Agent Skills — each a SKILL.md (plus optional scripts/, references/, assets/) that teaches an agent a repeatable workflow.
• Top Skills:
  • Landing Page Generator
  • Talking Avatar
  • Skills Index (README)

mcp/

• Definition: Model Context Protocol servers, clients, integrations, and runnable examples.
• Top Resources:
  • Launch MCP Server
  • MCP Workshop Notebook

agents/

• Definition: Autonomous agent projects that choose their own tools and actions. (Open for contributions.)

workflows/

• Definition: Predefined, multi-step AI automation pipelines. (Open for contributions.)

apps/

• Definition: Runnable, user-facing GenAI applications and demos (~60 projects).
• Top Apps:
  • Deep Stock Research Agent
  • Nano Banana 2 Cookbook

cookbooks/

• Definition: Educational notebooks — organized into models/, tools/, agents/, mcp/, rag/, multimodal/, fine-tuning/, evaluations/, and workshops/.
• Top Cookbooks:
  • GPT-5.4 Mini/Nano Cookbook
  • GLM OCR Cookbook
  • Gemini Embedding 2 Cookbook

cookbooks/agents/

• Definition: Agent-building notebooks (single-agent and multi-agent) with practical orchestration patterns.
• Top Cookbooks:
  • AgentScope
  • Kimi K2.5 Agent Swarm
  • CSV Agents with LangChain + LlamaIndex

cookbooks/rag/

• Definition: Retrieval-Augmented Generation implementations, multimodal retrieval, and document-grounded QA.
• Top Cookbooks:
  • Claude-Powered RAG from Scratch
  • RAG Interactive
  • Vision RAG with Cohere + Gemini

cookbooks/workshops/

• Definition: Hands-on workshop notebooks and guided classroom-style build sessions.
• Top Cookbooks:
  • AI Customer Support Agent Workshop
  • MCP Workshop
  • Browser Use Workshop

archive/legacy/

• Definition: Older, superseded, or reference content kept for posterity — including the original 100-os-libraries/ (100+ library cookbooks), experiments/, and roadmaps/.
• Top Resources:
  • 100 Open-Source Libraries
  • GenAI Roadmaps

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📈 Trending Notebooks

Curated from recently updated and high-interest notebooks in this repository.

• Claude Opus 4.8 Cookbook
• GPT-5.5 Cookbook
• Gemini 3.5 Flash Cookbook
• Qwen3.6 Max Preview Cookbook
• GLM OCR Cookbook
• Kimi K2.7 Code Cookbook
• DeepSeek V4 Pro Cookbook
• How to Build Claude-Powered RAG from Scratch
• Kimi K2.5 Agent Swarm Cookbook
• MCP Workshop

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🚀 Getting Started

Prerequisites

• Python 3.8+
• pip or conda package manager
• Node.js 18+ (for MCP servers and JS/TS apps)
• API keys for services you want to use (OpenAI, Anthropic, Google, etc.)

Quick Start

1. Clone the repository

   git clone https://github.com/buildfastwithai/gen-ai-experiments.git
   cd gen-ai-experiments
   

2. Navigate to your desired project

   cd apps/your-desired-project
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Set up API keys

   # Create a .env file and add your API keys
   echo "OPENAI_API_KEY=your_key_here" > .env
   

5. Run the application

   streamlit run app.py
   # or
   python app.py
   # or
   jupyter notebook
   

6. Follow project-specific instructions in each project's README.md for detailed setup

Using the Agent Skills

Agent Skills are model-agnostic. Point your agent (Claude Code, Cowork, or Codex) at any folder under skills/ and it will read the SKILL.md and follow the workflow. See the Skills index for what each one does.

Installing an MCP Server

# Example: Launch MCP in Claude Code
/plugin marketplace add buildfastwithai/launch-mcp
/plugin install launch-mcp@buildfastwithai-plugins

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🤝 Contributing

We welcome contributions from the community! Here's how you can help:

How to Contribute

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Where Things Go

• Skills → skills/<skill-name>/ with a SKILL.md
• MCP → mcp/servers/, mcp/clients/, mcp/integrations/, or mcp/examples/
• Apps → apps/<app-name>/ with a README.md and requirements.txt
• Agents → agents/<agent-name>/
• Workflows → workflows/<workflow-name>/
• Cookbooks → cookbooks/<category>/
• Legacy / experimental → archive/legacy/

Contribution Guidelines

• Follow the existing project structure
• Include a detailed README.md for new projects
• Add requirements.txt with all dependencies
• Test your code before submitting
• Write clear commit messages
• Update documentation as needed

Report Issues

Found a bug or have a feature request? Please create a GitHub Issue with:

• Clear description of the issue/feature
• Steps to reproduce (for bugs)
• Expected vs actual behavior
• Screenshots (if applicable)

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