# awesome-llm-apps

> Open-source collection of runnable AI agent, skill, and RAG templates

awesome-llm-apps is a curated repository of tested, end-to-end Python applications covering AI agents, agent skills, and retrieval-augmented generation architectures. It provides practical boilerplate and step-by-step implementations across multimodal agents, multi-agent swarms, voice assistants, and local LLMs. It is designed for developers who want working reference code to inspect, adapt, and run locally or in production.

Website: https://github.com/shubhamsaboo/awesome-llm-apps

## What it is for

- Spin up reference architectures for multi-agent workflows and task routing
- Implement agentic RAG or multimodal search using local and hosted models
- Install modular capabilities into coding assistants like Cursor and Claude Code
- Build voice-driven or generative UI prototypes from tested boilerplate

## Features

- Over 100 runnable Python templates for agents, skills, and RAG systems
- Support for hosted models (Claude, Gemini, GPT) and local models (Llama, DeepSeek)
- Modular agent skills installable via CLI command (\`npx skills add\`)
- Examples of voice agents, generative UI frontends, and Model Context Protocol (MCP) integrations
- Autonomous game-playing, memory layers, and context-optimization scripts
- Permissive Apache-2.0 license allowing commercial reuse and modification

## Pricing

Open source. Free and open source under Apache-2.0

## Details

- Type: GitHub repo
- Category: [Development](https://xiry.app/topics/development.md)
- Open source: yes
- Platforms: Linux, macOS, Windows, Command line
- For: Developers and AI engineers looking for runnable templates to build agentic and RAG applications.
- Tags: ai agents, rag, llm, python, open source, templates

## Why it was saved

- [@Saboo_Shubham_, 16 December 2024](https://x.com/Saboo_Shubham_/status/1868498039578747241): The repo where the tweet's code lives.
- [@Saboo_Shubham_, 29 December 2024](https://x.com/Saboo_Shubham_/status/1873209080074125786): Broader resource of runnable LLM app examples mentioned in the same thread.
- [@Saboo_Shubham_, 3 May 2025](https://x.com/Saboo_Shubham_/status/1918759724129898957): Free, maintained collection of runnable agent examples — customer support, investment, legal, recruitment, finance, teaching, travel agents, multi-agent teams, MCP agents, and RAG patterns — useful as reference implementations for building and selling AI products.

## Related

- [Firecrawl](https://xiry.app/resources/firecrawl-1984): Turn websites and documents into clean, LLM-ready markdown or structured data. (Website, Freemium)
- [ScrapeGraphAI](https://xiry.app/resources/scrapegraphai): Open-source Python library and API for prompt-based web scraping using LLMs (GitHub repo, Freemium)
- ["Easy Mode" Open Source AI Stack](https://xiry.app/resources/easy-mode-open-source-ai-stack): An opinionated reference architecture for building full-stack open-source AI applications (Framework, Open source)
- [Multimodal AI Agent with Gemini 2.0 and Phidata](https://xiry.app/resources/multimodal-ai-agent-with-gemini-2-0-and-phidata): Python recipe for an agent handling image, audio, video, and web search (Tip, Open source)
- [Hyperbrowser App Examples](https://xiry.app/resources/hyperbrowser-app-examples): Open-source web apps and AI browser tools built with Hyperbrowser (GitHub repo, Open source)
- [smolagents](https://xiry.app/resources/smolagents): Lightweight open-source Python library for building code-writing and vision AI agents (Web app, Open source)

Updated 10 October 2026. Page: https://xiry.app/resources/awesome-llm-apps

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