# 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: 131 - Data source: GitHub (refreshed daily) - Last scraped: 2026-07-22T09:29:07.991746+00:00 ## Top projects - [agents-course](https://madewithwhat.net/llamaindex/project/agents-course/): This repository contains the Hugging Face Agents Course. (30,012 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. (12,678 stars, AI & ML) - [phoenix](https://madewithwhat.net/llamaindex/project/phoenix/): AI Observability & Evaluation (10,546 stars, AI & ML) - [rags](https://madewithwhat.net/llamaindex/project/rags/): Build ChatGPT over your data, all with natural language (6,543 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. (3,853 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. (2,823 stars, AI & ML) - [handy-ollama](https://madewithwhat.net/llamaindex/project/handy-ollama/): Ollama，CPU，：https://datawhalechina.github.io/handy-ollama/ (2,471 stars, AI & ML) - [llama_deploy](https://madewithwhat.net/llamaindex/project/llama-deploy/): Deploy your agentic worfklows to production (2,066 stars, AI & ML) - [openinference](https://madewithwhat.net/llamaindex/project/openinference/): OpenTelemetry Instrumentation for AI Observability (1,084 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 (925 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. (875 stars, AI & ML) - [ragbook-notebooks](https://madewithwhat.net/llamaindex/project/ragbook-notebooks/): Repository for the "Building LLMs for Production" book by Towards AI. (554 stars, AI & ML) - [ParseBench](https://madewithwhat.net/llamaindex/project/parsebench/): ParseBench - A Document Parsing Benchmark for AI Agents (524 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) - [langstream](https://madewithwhat.net/llamaindex/project/langstream/): LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka. (428 stars, AI & ML) - [mcpadapt](https://madewithwhat.net/llamaindex/project/mcpadapt/): Unlock 650+ MCP servers tools in your favorite agentic framework. (422 stars, AI & ML) - [PlanExe](https://madewithwhat.net/llamaindex/project/planexe/): Create a plan from a description in minutes (388 stars, AI & ML) - [ThinkRAG](https://madewithwhat.net/llamaindex/project/thinkrag/): A LLM RAG system runs on your laptop. ，，。 (347 stars, AI & ML) - [palico-ai](https://madewithwhat.net/llamaindex/project/palico-ai/): Build, Improve Performance, and Productionize your AI Application (342 stars, AI & ML) - [ai-playground](https://madewithwhat.net/llamaindex/project/ai-playground/): Code from tutorials presented on the "Code AI with Rok" YouTube channel (322 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. (297 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. (261 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. (238 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. (223 stars, AI & ML) - [llm](https://madewithwhat.net/llamaindex/project/llm/): LLM AI (198 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. (191 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) - [oxidizePdf](https://madewithwhat.net/llamaindex/project/oxidizepdf/): Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps. (182 stars, AI & ML) ## Useful links - Full catalog, all 131 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.