LLM local
starnet
Pixel-art desktop where your local-first AI agents visibly do real work.
★ 1,0 mil estrelasMIT
Ver o guia →airunner é um projeto de LLM local de código aberto de Capsize-Games (Capsize-Games/airunner no GitHub). Tem 1.317 estrelas no GitHub e 104 forks, é publicado sob a licença GPL-3.0 e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
Offline inference engine for art.
Decide what you want airunner to do first — offline inference engine for art, live voice conversations, LLM powere.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Change the config to match your workflow, then run it daily.
Working ai art support built in.
Working art support built in.
Working asset generator support built in.
Working chatbot support built in.
Readable code that is easy to modify.
Free to use; derivatives stay open.
Download the source and move into the project folder.
git clone https://github.com/Capsize-Games/airunner.git
cd airunnerInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes, but note the copyleft: it is GPL-3.0 licensed, so distributed derivatives must stay open.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under GPL-3.0. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at Capsize-Games/airunner. Open an issue or pull request; the contribution guide in the repo explains the process.
Pixel-art desktop where your local-first AI agents visibly do real work.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Local code-intelligence MCP server and CLI for coding agents.
TokenSpeed — a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability
Lightweight inference engine for running LLMs efficiently on any device.
Alibaba's lightweight, blazing-fast inference engine for on-device LLMs and edge AI.
Os outros projetos de LLM local com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se airunner não for o ideal para você.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Projetos de LLM local próximos no catálogo, os mais próximos em estrelas de airunner: continue explorando dos dois lados dele.
Turn your AI coding chats into reusable skills with IDE extensions.
A local workbench for multi-agent software development.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Cloud-native runtime for building and running agentic AI in production.
Lightweight inference engine for running LLMs efficiently on any device.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.