Shubhamsaboo/awesome-llm-apps
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
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🌟 Awesome LLM Apps
100+ AI Agent & RAG apps you can actually run — clone, customize, ship. AI Agents · Always-on 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
github.com/Shubhamsaboo/awesome-llm-apps/stargazers github.com/Shubhamsaboo/awesome-llm-apps/network/members github.com/Shubhamsaboo/awesome-llm-apps/graphs/contributors raw.githubusercontent.com/Shubhamsaboo/awesome-llm-apps/main/LICENSE🚀 Quick Start 📂 Browse Templates 📚 Step-by-Step Tutorialstrendshift.io/repositories/9876
💡 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, Always-on 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:
🔥 Featured This Month
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📑 Table of Contents
15 categories · Click to expand
• 🖼️ Generative UI and Agentic Frontends
• 🎮 Autonomous Game-Playing Agents
• 🧑🏫 AI Agent Framework Crash Courses
📂 Featured AI Projects
🧩 Agent Skills
Give your coding agent new abilities. One command to install, plain English to use. Works with Claude Code, Codex, Cursor, and other coding agents. Browse all skills →
• ⚰️ Project Graveyard - Finds every side project you abandoned, tells you why each one died, and helps you finish the one worth going back to
• 🧠 Advisor Orchestrator Worker - Meta Loop with Claude Flabe 5 as advisor, GPT-5.6 as orchestrator, and Gemini 3.5 Flash as worker
• ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK
🌱 Starter AI Agents
Single-file agents that run with just an API key - a great place to start.
• ❤️🩹 AI Breakup Recovery Agent
• 😂 AI Meme Generator Agent (Browser)
• 🛫 AI Travel Agent (Local & Cloud)
🚀 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 VC Due Diligence Agent Team
• 🔬 AI Research Planner & Executor (Google Interactions API)
• 🏗️ AI System Architect Agent
• 📡 Earnings Call Analyst Agent
• 🏋️♂️ AI Health & Fitness Agent
• 🚀 AI Product Launch Intelligence Agent
• 🔍 AI Fraud Investigation 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
🛰️ Always-on Agents
Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.
• 📰 Always-on Hacker News Briefing Agent
🤝 Multi-agent Teams
Multiple agents collaborating to accomplish complex, cross-domain tasks.
• 🧲 AI Competitor Intelligence Agent Team
• 🧭 AG2 Adaptive Research Team
• 👨⚖️ AI Legal Agent Team (Cloud & Local)
• 👨💼 AI Services Agency (CrewAI)
• 💻 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.
• 📞 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
• ✈️ MCP Apps Generative UI Showcase
• 🎛️ AI Shadcn Component Generator
🎮 Autonomous Game-Playing Agents
Agents that play games end-to-end - reasoning, strategy, and action.
♾️ MCP AI Agents
Agents that connect to external tools and data via Model Context Protocol.
• 🌍 AI Travel Planner MCP Agent
📀 RAG (Retrieval Augmented Generation)
Retrieval pipelines - from simple chains to agentic and multi-source.
• 🔥 Agentic RAG with Embedding Gemma
• 🧐 Agentic RAG with Reasoning
• 🩺 RAG Failure Diagnostics Clinic
• 🕸️ Knowledge Graph RAG with Citations
💾 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
• 📝 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 & Llama3)
• 📄 Chat with PDF (GPT & Llama3)
• 📚 Chat with Research Papers (ArXiv) (GPT & Llama3)
🎯 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.
🧑🏫 AI Agent Framework Crash Course
Deep-dive tutorials on the major agent frameworks.
• 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.
github.com/Shubhamsaboo/awesome-llm-apps/graphs/contributors
⭐ 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.
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