Open source gpt-4 projects
Every project in the registry tagged gpt-4, ranked by real GitHub adoption.
AI pair programmer that works inside your terminal
A modular graph-based Retrieval-Augmented Generation (RAG) system
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into act
open-source agentic AI data assistant for the next generation of AI + Data products.
Open source AI coding agent. Designed for large projects and real world tasks.
Build powerful AI agents with cutting-edge LLM technology
Secure cloud environments for enterprise AI agents
Turn any webpage into structured data using LLMs
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
Harness LLMs with Multi-Agent Programming
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, obs
OpenAI API + Ruby! 🤖❤️ GPT-5 & Realtime WebRTC compatible!
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngr
LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.
Text Generator is a versatile plugin for Obsidian that allows you to generate text content using various AI providers, including OpenAI, Anthropic, Google and l
A NodeJS RAG framework to easily work with LLMs and embeddings
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Frequently asked questions
How many open source gpt-4 projects are there?
This registry tracks 16 projects tagged gpt-4, with 215,050 GitHub stars between them. The most-adopted is Aider at 49,910 stars.
Are these gpt-4 projects free to use?
Yes — 16 of the 16 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which gpt-4 project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these gpt-4 projects still maintained?
10 of the 16 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.