---
title: "Awesome LLM Apps: 100+ AI Agent & RAG Apps"
url: https://stacklist.com/card/2c128ae4-bd92-4a8a-a946-eaddd8635b6d
source_url: "https://github.com/Shubhamsaboo/awesome-llm-apps?mcp_token=eyJwaWQiOjMxOTYxMzgsInNpZCI6MTEyNzc3NzI2NCwiYXgiOiI3ZjU4YmNlYWY1MWMyM2FlNzUwYTcyYzQyOTgwOTU1MSIsInRzIjoxNzgwNTQ0NzA0LCJleHAiOjE3ODI5NjM5MDR9.6TFtlWmXQcNQ6lj19bYUriz3ZqGUqHuN5Nwvjd8Fiws&fbclid=PAVERTVgSN1BhleHRuA2FlbQIxMABzcnRjBmFwcF9pZA81NjcwNjczNDMzNTI0MjcAAad41iaNoS4Ef6oL7Z267IQgYC9pv652zh7yd1Fk-Wi0MRSIMr_xdlW28_ZRGA_aem_PKpSNbzE--d0oAU-vkv0Xw"
stack: https://stacklist.com/stack/adf42802-57ae-4bec-810c-7ec6565a3b86
summary: "Awesome LLM Apps is a collection of 100+ ready-to-run AI agent and RAG application templates with full source code that developers can clone, customize, and deploy. The project provides hand-built, tested templates covering AI agents, multi-agent teams, voice agents, and fine-tuning, with step-by-step tutorials and support for multiple LLM providers under an Apache 2.0 license."
tags: "llm-applications, ai-agents, rag, templates, tutorial, open-source, multi-agent"
key_entities: "Claude (technology), Gemini (technology), OpenAI (technology), Llama (technology), Qwen (technology), xAI (technology), RAG (technology), MCP Agents (technology), Unwind AI (organization), Shubhamsaboo (person), Multi-agent Teams (concept), Agent Skills (concept), Voice Agents (concept)"
classification: "reference"
content_hash: "sha256:93cb000e90db24eccbf6bc33c5d41f84aa16f73da5865267a9a5a2220d8e1c49"
acp_version: "0.2"
token_counts_approximate: 2337
visibility: public
agent_accessible: true
status: "final"
---

# Awesome LLM Apps: 100+ AI Agent & RAG Apps

Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文 🌟 Awesome LLM Apps 100+ AI Agent &amp; RAG apps you can actually run — clone, customize, ship. AI Agents · Multi-agent Teams · MCP Agents · RAG · Voice Agents · Agent Skills · Fine-tuning Free step-by-step tutorials on Unwind AI Works with Claude · Gemini · OpenAI · xAI · Qwen · Llama 🚀 Quick Start 📂 Browse Templates 📚 Step-by-Step Tutorials 💡 Why this exists You shouldn't have to rebuild the same RAG pipeline, agent loop, or MCP integration from scratch every time you start a new LLM project. Awesome LLM Apps is a cookbook of ready-to-run templates - starter code you can fork, customize, and ship as a production LLM app. Every template here is self-contained with full source code, not collected from elsewhere. 🛠️ Hand-built, not curated - every template is original work, tested end-to-end before it ships. 🧪 Runs in 3 commands - no broken requirements.txt , no "figure it out yourself" scaffolding. 🧠 Covers the modern AI stack - AI Agents, Multi-agent Teams, MCP Agents, Voice AI Agents, RAG, Agent Skills, Fine-tuning. 🌐 Provider-agnostic - switch between Claude, Gemini, GPT, Llama, Qwen, xAI and others with a config change. 📚 Step-by-step tutorials - every featured template has a free walkthrough on Unwind AI . 💸 Apache-2.0 - fork it, ship it, sell it. No paywall, no signup, no telemetry. ⭐ If this saves you time, star the repo - that's how the next developer discovers it. 🚀 Quick Start Run your first agent in 30 seconds : git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git cd awesome-llm-apps/starter_ai_agents/ai_travel_agent pip install -r requirements.txt streamlit run travel_agent.py 🔥 Featured This Month Template What it does Stack 📡 Earnings Call Analyst Agent YouTube earnings calls become quote-synced analyst cards with ADK, Gemini, filings, and grounded market news ADK + Gemini 🛡️ Insurance Claim Live Agent Team Real-time voice claim intake with Gemini Live and ADK Voice + ADK 🏠 Home Renovation Agent Photo → AI redesign with Nano Banana Pro Vision + Multi-agent ♾️ Self-Improving Agent Skills Automatically optimize agent skills using Gemini and ADK Agent Skills + ADK 📬 Subscribe on Unwind AI to get new template drops + tutorials in your inbox. 📑 Table of Contents 14 categories · Click to expand 🌱 Starter AI Agents 🚀 Advanced AI Agents 🤝 Multi-agent Teams 🗣️ Voice AI Agents 🖼️ Generative UI and Agentic Frontends 🎮 Autonomous Game-Playing Agents ♾️ MCP AI Agents 📀 RAG Tutorials 🧩 Awesome Agent Skills 💾 LLM Apps with Memory 💬 Chat with X Tutorials 🎯 LLM Optimization Tools 🔧 LLM Fine-tuning Tutorials 🧑‍🏫 AI Agent Framework Crash Courses 📂 Featured AI Projects 🌱 Starter AI Agents Single-file agents that run with just an API key - a great place to start. 🎙️ AI Blog to Podcast Agent ❤️‍🩹 AI Breakup Recovery Agent 📊 AI Data Analysis Agent 🩻 AI Medical Imaging Agent 😂 AI Meme Generator Agent (Browser) 🎵 AI Music Generator Agent 🛫 AI Travel Agent (Local &amp; Cloud) ✨ Gemini Multimodal Agent 🔄 Mixture of Agents 📊 xAI Finance Agent 🔍 OpenAI Research Agent 🕸️ Web Scraping AI Agent (Local &amp; Cloud SDK) 🚀 Advanced AI Agents Production-style agents with tools, memory, and multi-step reasoning. 🏚️ 🍌 AI Home Renovation Agent with Nano Banana Pro 🧠 DevPulse AI - Multi-Agent Signal Intelligence 🔍 AI Deep Research Agent 📊 AI VC Due Diligence Agent Team 🔬 AI Research Planner &amp; Executor (Google Interactions API) 🤝 AI Consultant Agent 🏗️ AI System Architect Agent 💰 AI Financial Coach Agent 🎬 AI Movie Production Agent 📈 AI Investment Agent 📡 Earnings Call Analyst Agent 🏋️‍♂️ AI Health &amp; Fitness Agent 🚀 AI Product Launch Intelligence Agent 🔍 AI Fraud Investigation Agent 🗞️ AI Journalist Agent 🧠 AI Mental Wellbeing Agent 📑 AI Meeting Agent 🧬 AI Self-Evolving Agent 👨🏻‍💼 AI Sales Intelligence Agent Team 🎧 AI Social Media News and Podcast Agent 🌐 Openwork - Open Browser Automation Agent ↗ external 🛡️ Trust-Gated Multi-Agent Research Team 🤝 Multi-agent Teams Multiple agents collaborating to accomplish complex, cross-domain tasks. 🧲 AI Competitor Intelligence Agent Team 💲 AI Finance Agent Team 🎨 AI Game Design Agent Team 🧭 AG2 Adaptive Research Team 👨‍⚖️ AI Legal Agent Team (Cloud &amp; Local) 💼 AI Recruitment Agent Team 🏠 AI Real Estate Agent Team 👨‍💼 AI Services Agency (CrewAI) 👨‍🏫 AI Teaching Agent Team 💻 Multimodal Coding Agent Team ✨ Multimodal Design Agent Team 🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana 🌏 AI Travel Planner Agent Team 🗣️ Voice AI Agents Speech-in, speech-out agents using real-time voice APIs. 🗣️ AI Audio Tour Agent 📞 Customer Support Voice Agent 🛡️ Insurance Claim Live Agent Team 🔊 Voice RAG Agent (OpenAI SDK) 🎙️ OpenSource Voice Dictation Agent (Wispr Flow clone) ↗ external 🖼️ Generative UI and Agentic Frontends Agents that render interactive UI components — forms, cards, charts, editable plans — not just text. 🗂️ Generative UI Starter Project 🪙 AI Financial Coach Agent 📊 AI Dashboard Canvas Agent 🛠️ AI MCP App Builder ✈️ MCP Apps Generative UI Showcase 🎛️ AI Shadcn Component Generator 🔍 AI Deep Research Agent 🎮 Autonomous Game-Playing Agents Agents that play games end-to-end - reasoning, strategy, and action. 🎮 AI 3D Pygame Agent ♜ AI Chess Agent 🎲 AI Tic-Tac-Toe Agent ♾️ MCP AI Agents Agents that connect to external tools and data via Model Context Protocol. ♾️ Browser MCP Agent 🐙 GitHub MCP Agent 📑 Notion MCP Agent 🌍 AI Travel Planner MCP Agent 🔀 Multi-MCP Agent Router 📀 RAG (Retrieval Augmented Generation) Retrieval pipelines - from simple chains to agentic and multi-source. 🔥 Agentic RAG with Embedding Gemma 🧐 Agentic RAG with Reasoning 📰 AI Blog Search (RAG) 🔍 Autonomous RAG 🔄 Contextual AI RAG Agent 🔄 Corrective RAG (CRAG) 🐋 Deepseek Local RAG Agent 🤔 Gemini Agentic RAG 👀 Hybrid Search RAG (Cloud) 🔄 Llama 3.1 Local RAG 🖥️ Local Hybrid Search RAG 🧬 Multimodal Agentic RAG 🦙 Local RAG Agent 🧩 RAG-as-a-Service ✨ RAG Agent with Cohere ⛓️ Basic RAG Chain 📠 RAG with Database Routing 🖼️ Vision RAG 🩺 RAG Failure Diagnostics Clinic 🕸️ Knowledge Graph RAG with Citations 🧩 Awesome Agent Skills Ready-to-use agent skill files you can plug into any AI agent or LLM workflow. ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK 📋 Browse all 19 skills Skill Description 🎓 Academic Researcher Literature reviews, paper analysis, citation management 🔍 Code Reviewer Automated code review with best-practice checks ✍️ Content Creator Blog posts, social media, marketing copy 📊 Data Analyst Data exploration, statistical analysis, insights 🐛 Debugger Systematic bug hunting and root-cause analysis 🤔 Decision Helper Structured decision frameworks and trade-off analysis 🔬 Deep Research Multi-source research with synthesis 📝 Editor Proofreading, style, and clarity improvements 📧 Email Drafter Professional email composition ✅ Fact Checker Claim verification and source validation 💻 Fullstack Developer End-to-end web app development 📋 Meeting Notes Meeting summaries, action items, follow-ups 📅 Project Planner Roadmaps, milestones, resource planning 🐍 Python Expert Pythonic code, packaging, performance 🏃 Sprint Planner Agile sprint planning and backlog grooming 🧭 Strategy Advisor Business strategy and competitive analysis 📖 Technical Writer Documentation, API docs, guides 🎨 UX Designer UI/UX design feedback and wireframes 📈 Visualization Expert Charts, dashboards, data storytelling 💾 LLM Apps with Memory Tutorials Agents and chatbots that remember conversations and user state across sessions. 💾 AI ArXiv Agent with Memory 🛩️ AI Travel Agent with Memory 💬 Llama3 Stateful Chat 📝 LLM App with Personalized Memory 🗄️ Local ChatGPT Clone with Memory 🧠 Multi-LLM Application with Shared Memory 💬 Chat with X Tutorials Turn any data source into a chat interface. 💬 Chat with GitHub (GPT &amp; Llama3) 📨 Chat with Gmail 📄 Chat with PDF (GPT &amp; Llama3) 📚 Chat with Research Papers (ArXiv) (GPT &amp; Llama3) 📝 Chat with Substack 📽️ Chat with YouTube Videos 🎯 LLM Optimization Tools Reduce token usage, context size, and API cost without losing quality. 🎯 Toonify Token Optimization - Reduce LLM API costs by 30–60% using TOON format 🧠 Headroom Context Optimization - Reduce LLM API costs by 50–90% 🔧 LLM Fine-tuning Tutorials End-to-end fine-tuning recipes for open-source models. Gemma 3 Fine-tuning Llama 3.2 Fine-tuning 🧑‍🏫 AI Agent Framework Crash Course Deep-dive tutorials on the major agent frameworks. Google ADK Crash Course Starter agent; model‑agnostic (OpenAI, Claude) Structured outputs (Pydantic) Tools: built‑in, function, third‑party, MCP tools Memory; callbacks; Plugins Simple multi‑agent; Multi‑agent patterns OpenAI Agents SDK Crash Course Starter agent; function calling; structured outputs Tools: built‑in, function, third‑party integrations Memory; callbacks; evaluation Multi‑agent patterns; agent handoffs Swarm orchestration; routing logic 🙏 Built by Created and maintained by Shubham Saboo with contributions from the amazing community members. ⭐ Star History 🌟 Don't miss future drops - star the repo to get notified when new templates ship. 📜 License Apache-2.0. See LICENSE . Fork it, ship it, sell it.
