LLM local
thClaws
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
★ 1,2k estrellasApache-2.0
Ver la guía →skillpack es un proyecto de LLM local de código abierto de CreminiAI (CreminiAI/skillpack en GitHub). Tiene 1.200 estrellas en GitHub y 111 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 16 de septiembre de 2026.
Pack and deploy local AI agents designed for your team in minutes.
The README documents setup; start with the install section.
Change the config to match your workflow, then run it daily.
Decide what you want skillpack to do first — pack and deploy local AI agents designed for your team in minutes.
Pull the latest changes to stay current with fixes.
Working agent support built in.
Working agentic support built in.
Working ai skills support built in.
Typed code that is easier to maintain.
No cloud needed once set up.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/CreminiAI/skillpack.git
cd skillpackInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
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 MIT. Read the LICENSE file in the repo for the exact terms.
The repo shows activity as of 2026-09-16. Check the commit history and open issues on GitHub to judge how active maintenance is right now.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A local-first OS for building and running AI agents.
Local-first inbox designed for long-running AI agents, built.
Local-first desktop workspace designed for running.
Secure MCP runtime letting AI agents operate your local machines.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.