100+ LLM Apps You Can Actually Run

AI Tools Shubhamsaboo/awesome-llm-apps 108,307 stars Updated 2 days ago

TL;DR: A curated list of 100+ AI Agent & RAG applications that actually work. Clone, customize, ship. No fluff, just working code.

Shubhamsaboo/awesome-llm-apps is the definitive resource for anyone who wants to actually run LLM applications. It's not just a list — it's a curated collection of 100+ production-ready AI Agent & RAG apps that you can clone, customize, and ship.

Why This Matters

The LLM ecosystem is flooded with hype. Tons of "AI" projects that don't actually work, repos with broken dependencies, and documentation that assumes you already know everything. awesome-llm-apps cuts through the noise.

Every project in this list has been vetted. It works. It's maintained. It's ready to use.

What's Inside

The repo is organized by category, making it easy to find what you need:

AI Agents — Autonomous agents that can reason, plan, and execute tasks
RAG Applications — Retrieval-augmented generation for your own data
Chat Interfaces — Modern chat UIs with streaming, history, and more
Multi-Agent Systems — Complex workflows with multiple specialized agents
Tools & Integrations — Agents with access to tools, APIs, and external services

Top Picks

LangChain Agents

45K+ stars

Build multi-agent systems with LangChain. Chains of thought, tool use, and memory management.

Python LangChain Agents

LlamaIndex

38K+ stars

Build RAG applications with your own data. Connect to documents, build indexes, query with LLMs.

Python RAG Data

AutoGPT

156K+ stars

Autonomous AI agent that can perform tasks autonomously. Plan, execute, and iterate.

Python Autonomous Agents

How to Use

Each entry includes:

📋 Full README — Setup instructions, requirements, and usage examples
🔧 Installation guide — One-command setup where possible
🚀 Running the app — Clear commands to get started
💡 Customization tips — How to adapt it to your needs

Key Takeaways

Verdict

This is the single best resource for finding working LLM applications. If you want to build something with LLMs, start here. No more searching through broken repos — just clone and run.

Pros

100+ vetted, working projects
Categorized for easy navigation
Each has working README and examples
Actively maintained
Free and open source

Cons

Quality varies (some are simple demos)
Not all are production-ready
Requires you to actually read the README

Final thoughts: If you're building anything with LLMs, this should be your first stop. It saves hours of searching through broken repos and guesswork.

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