Open source llms projects
Every project in the registry tagged llms, ranked by real GitHub adoption.
Run open-source LLMs locally on your own machine
One interface for every AI model you run or connect
21 Lessons, Get Started Building with Generative AI
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat ap
A modular graph-based Retrieval-Augmented Generation (RAG) system
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
AI-powered code completion for seamless development
An open-source RAG-based tool for chatting with your documents.
Build unlimited AI apps locally with zero vendor lock-in
Structured Outputs
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and v
Complete production stack for AI teams
Smart desktop AI assistant with powerful local knowledge features
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
GPU orchestration across clouds, Kubernetes, and on-prem
ContextGem: Effortless LLM extraction from documents
A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM AP
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
Related tags
Frequently asked questions
How many open source llms projects are there?
This registry tracks 18 projects tagged llms, with 711,258 GitHub stars between them. The most-adopted is Ollama at 181,161 stars.
Are these llms projects free to use?
Yes — 14 of the 18 carry an explicit open-source licence across 3 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 llms 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 llms projects still maintained?
15 of the 18 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.