Open Source LLM Projects
Discover 273 open source LLM repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. LLM projects here are most often combined with Python, AI Agents and AI. Last updated October 4, 2026.
273 repositories · updated October 4, 2026
llmgym: Build and Benchmark LLM Applications That Learn
LLMGym provides a shared environment interface for developing and evaluating LLM applications that learn from feedback. It is aimed at researchers and developers who want to test agents across varied interactive tasks.
ai-chat: Build Laravel Apps with Streaming AI Chat
A Laravel starter kit for building authenticated AI chat applications with streamed responses and support for multiple model providers. It suits developers who want a customizable Vue and Inertia foundation rather than building chat infrastructure from scratch.
cherry-studio: Chat Across AI Models in a Desktop App
Cherry Studio is a cross-platform desktop client for chatting with cloud and local language models in one place. It suits people who want to compare models, use ready-made assistants, and work with documents without setting up a separate client for each provider.
Qwen3: Build and Run Open-Weight Language Models
Qwen3 is a family of open-weight language models for reasoning, chat, coding, and tool use. This repository guides developers through model selection, local inference, deployment, and fine-tuning with supported frameworks.
AI-Scientist-v2: Automate Scientific Experiments and Paper Drafts
AI-Scientist-v2 uses LLM agents and tree search to propose research ideas, run experiments, analyze results, and draft papers. It is aimed at researchers exploring open-ended machine learning questions who can provide model APIs and a controlled compute environment.
context7: Give AI Coding Tools Current Library Docs
Context7 retrieves version-aware library documentation and code examples for AI coding assistants, helping reduce outdated guidance and invented APIs. It offers both a CLI-and-skills setup and an MCP server integration.
WeClone: Create an AI Avatar from Chat History
WeClone turns exported chat histories into fine-tuned language models that can respond in a person's style. It combines data preparation, privacy filtering, model training, and chatbot deployment for people comfortable running local AI workflows.
textgen: Run Local Language Models in a Desktop App
TextGen is a private desktop and web interface for running local language models, with support for chat, vision, tools, and compatible APIs. It suits people who want to use and manage models on their own hardware.
Qwen: Run and Fine-Tune Pretrained Language Models
Qwen is Alibaba Cloud’s Python repository for running and adapting pretrained and chat language models, with an emphasis on Chinese and English. It includes inference, quantization, fine-tuning, and deployment paths, but is no longer actively maintained; the project points users to Qwen2.
rag-from-scratch: Learn Retrieval-Augmented Generation Step by Step
A Jupyter notebook series that teaches the building blocks of retrieval-augmented generation, from indexing and retrieval to generation. It is aimed at learners who want to understand RAG concepts through an educational progression rather than adopt a ready-made application.
langwatch: Test and Monitor LLM Applications and AI Agents
LangWatch helps teams evaluate, test, and monitor LLM applications and AI agents in production. It combines observability, simulation testing, prompt management, an AI gateway, and governance, with cloud and self-hosted options.
index: Automate Complex Tasks in a Web Browser
Index is a Python browser agent that uses reasoning-capable language models to carry out multi-step web tasks and return structured results. It offers a CLI, a Python interface, and a serverless API, but the repository is archived.