Automatisation
aidevops
Token-efficient AI agent automation for apps, business, and personal projects.
★ 405 étoilesMIT
Voir le guide →ServBay est un projet de LLM locaux open source, créé par ServBay (ServBay/ServBay sur GitHub). Il compte 455 étoiles sur GitHub et 22 forks, il est publié sous la licence Custom et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
An AI-native local dev tool giving agents a real environment.
Get it from the official site.
Spin up databases and servers.
Agents get a real environment.
Code, run, and test in one place.
Actual services, not mocks.
Databases, servers, runtimes.
Built for agent workflows.
Everything on your machine.
Start and stop services simply.
Agents execute for real.
Download the source and enter the folder.
git clone https://github.com/ServBay/ServBay.git
cd ServBayCheck the README for platform support.
cat README.md | head -60Follow the official installer steps.
# see the official site for the installerAn AI-native local development environment tool, at ServBay/ServBay.
Databases, web servers, and runtimes like MySQL, Nginx, PHP, Node.
So they can run real code against real services.
The code is on GitHub under a custom license; check the terms.
See the official site for supported OS builds.
Token-efficient AI agent automation for apps, business, and personal projects.
Fully automated homelab from empty disk to running services with a single command.
C# generative AI SDK — text, image, video and audio via ONNX
AI-native video editing on real timelines with local agents.
Pixel-art desktop where your local-first AI agents visibly do real work.
Open source, Git-native memory for AI coding agents - deterministic local recall
Les autres projets de la catégorie LLM locaux avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si ServBay ne vous convient pas.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.