# Awesome LLM Apps

> Collection of over 100 open-source AI agents, agent skills, and RAG applications built with end-to-end testing and Apache-2.0 license.

- Website: https://github.com/shubhamsaboo/awesome-llm-apps/?ref=devshelf.io
- DevShelf page: https://devshelf.io/resource/awesome-llm-apps
- Pricing: Free
- Tags: Open Source, Self-hosted
- Categories: [Agent Frameworks & MCP](https://devshelf.io/category/agent-frameworks-mcp.md), [RAG & Vector Search](https://devshelf.io/category/rag-vector-search.md)
- Last checked: 2026-11-03

## About

Awesome LLM Apps provides a comprehensive collection of over 100 open-source AI agents, agent skills, and retrieval-augmented generation pipelines. Designed for developers, the repository includes templates for standalone AI tools, multi-agent teams, voice assistants, and memory management utilities. It supports major commercial and open-source models, offering modular codebases for rapid prototyping, fine-tuning, and production deployment.

## Alternatives

- [Awesome MCP Servers](https://devshelf.io/resource/awesome-mcp-servers.md): A curated directory and collection of servers for the Model Context Protocol, connecting AI agents to various tools, APIs, and services. (pricing: Free)
- [Langflow](https://devshelf.io/resource/langflow.md): Low-code visual framework for building and deploying AI agents, RAG applications, and MCP servers with major LLMs and vector databases. (pricing: Freemium)
- [LangChain](https://devshelf.io/resource/langchain.md): An open agent platform and framework for building, testing, deploying, and monitoring LLM-powered applications and autonomous agents. (pricing: Freemium, Pay-as-you-go)

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Source: DevShelf.io, the hand-reviewed catalog of dev tools and resources. Every resource is reviewed by hand before it is listed.