# Made with LlamaIndex

> A curated, daily-updated gallery of the best open-source projects built with LlamaIndex, ranked by GitHub stars. Discover dashboards, UI kits, e-commerce, blogs and dev tools.

## About

- Gallery: https://madewithwhat.net/llamaindex/
- Domain: madewithllamaindex.com
- Projects indexed: 134
- Data source: GitHub (refreshed daily)
- Last scraped: 2026-09-06T02:26:46.501184+00:00

## Top projects

- [agents-course](https://madewithwhat.net/llamaindex/project/agents-course/): This repository contains the Hugging Face Agents Course. (30,682 stars, AI & ML)
- [LEANN](https://madewithwhat.net/llamaindex/project/leann/): [MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. (12,761 stars, AI & ML)
- [phoenix](https://madewithwhat.net/llamaindex/project/phoenix/): AI Observability & Evaluation (10,902 stars, AI & ML)
- [rags](https://madewithwhat.net/llamaindex/project/rags/): Build ChatGPT over your data, all with natural language (6,547 stars, AI & ML)
- [ragapp](https://madewithwhat.net/llamaindex/project/ragapp/): The easiest way to use Agentic RAG in any enterprise (4,442 stars, AI & ML)
- [LazyLLM](https://madewithwhat.net/llamaindex/project/lazyllm/): Easiest and laziest way for building multi-agent LLMs applications. (3,860 stars, AI & ML)
- [seekdb](https://madewithwhat.net/llamaindex/project/seekdb/): The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable. (2,856 stars, AI & ML)
- [handy-ollama](https://madewithwhat.net/llamaindex/project/handy-ollama/): Ollama，CPU，：https://datawhalechina.github.io/handy-ollama/ (2,486 stars, AI & ML)
- [llama_deploy](https://madewithwhat.net/llamaindex/project/llama-deploy/): Deploy your agentic worfklows to production (2,067 stars, AI & ML)
- [openinference](https://madewithwhat.net/llamaindex/project/openinference/): OpenTelemetry Instrumentation for AI Observability (1,131 stars, AI & ML)
- [llm-python](https://madewithwhat.net/llamaindex/project/llm-python/): Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone (927 stars, AI & ML)
- [deep-learning-wizard](https://madewithwhat.net/llamaindex/project/deep-learning-wizard/): Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more. (876 stars, AI & ML)
- [ragbook-notebooks](https://madewithwhat.net/llamaindex/project/ragbook-notebooks/): Repository for the "Building LLMs for Production" book by Towards AI. (556 stars, AI & ML)
- [ParseBench](https://madewithwhat.net/llamaindex/project/parsebench/): ParseBench - A Document Parsing Benchmark for AI Agents (537 stars, AI & ML)
- [restai](https://madewithwhat.net/llamaindex/project/restai/): RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more... (512 stars, AI & ML)
- [azure-ai-travel-agents](https://madewithwhat.net/llamaindex/project/azure-ai-travel-agents/): A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents orchestrated by Langchain.js, Llamaindex.TS and Microsoft Agent Framework. (476 stars, AI & ML)
- [langstream](https://madewithwhat.net/llamaindex/project/langstream/): LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka. (427 stars, AI & ML)
- [mcpadapt](https://madewithwhat.net/llamaindex/project/mcpadapt/): Unlock 650+ MCP servers tools in your favorite agentic framework. (423 stars, AI & ML)
- [PlanExe](https://madewithwhat.net/llamaindex/project/planexe/): Create a plan from a description in minutes (395 stars, AI & ML)
- [ThinkRAG](https://madewithwhat.net/llamaindex/project/thinkrag/): A LLM RAG system runs on your laptop. ，，。 (348 stars, AI & ML)
- [palico-ai](https://madewithwhat.net/llamaindex/project/palico-ai/): Build, Improve Performance, and Productionize your AI Application (343 stars, AI & ML)
- [ai-playground](https://madewithwhat.net/llamaindex/project/ai-playground/): Code from tutorials presented on the "Code AI with Rok" YouTube channel (320 stars, AI & ML)
- [local_llama](https://madewithwhat.net/llamaindex/project/local-llama/): This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies. (295 stars, AI & ML)
- [watch-skill](https://madewithwhat.net/llamaindex/project/watch-skill/): Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LOOP to inspect, fix, and verify the work. MCP, CLI, REST, local-first. (280 stars, AI & ML)
- [sample-agentic-frameworks-on-aws](https://madewithwhat.net/llamaindex/project/sample-agentic-frameworks-on-aws/): Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks. (262 stars, AI & ML)
- [ai-tutor-rag-system](https://madewithwhat.net/llamaindex/project/ai-tutor-rag-system/): This is a repository for the course "From Beginner to LLM Developer" by Towards AI. (240 stars, AI & ML)
- [corpusos](https://madewithwhat.net/llamaindex/project/corpusos/): Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider. (213 stars, AI & ML)
- [llm](https://madewithwhat.net/llamaindex/project/llm/): LLM AI (197 stars, AI & ML)
- [mcp-toolbox-sdk-python](https://madewithwhat.net/llamaindex/project/mcp-toolbox-sdk-python/): Python SDK for interacting with the MCP Toolbox for Databases. (191 stars, AI & ML)
- [RAG-SaaS](https://madewithwhat.net/llamaindex/project/rag-saas/): Ship RAG Solutions Quickly and effortlessly (188 stars, AI & ML)

## Useful links

- Full catalog, all 134 projects by category: https://madewithwhat.net/llamaindex/llms-full.txt
- RSS feed: https://madewithwhat.net/llamaindex/rss.xml
- Submit a project: https://madewithwhat.net/llamaindex/submit/
- Browse categories: https://madewithwhat.net/llamaindex/categories/
- Newsletter: https://madewithwhat.net/llamaindex/newsletter/

## Optional

This catalog ranks open-source projects by GitHub stars. Each project page includes description, stack, languages, license, and related projects.