Self-Hosting
ENZO
A self-hosted AI workspace with agents and tools — bring your own keys.
★ 111 SterneApache-2.0
Anleitung ansehen →SiliconScope ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von kennss (kennss/SiliconScope auf GitHub). Es hat 975 Sterne auf GitHub und 63 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
Run siliconscope locally: sudoless apple silicon system monitor (native swiftui g.
Fetch the source code onto your machine.
Load the Xcode project or download a release.
Compile in Xcode with Cmd+R.
Adjust settings in the app preferences.
Built around apple silicon for a focused workflow.
Built around gpu for a focused workflow.
Built around llama cpp for a focused workflow.
Built around llm for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/kennss/SiliconScope.gitLoad in Xcode.
cd SiliconScope && open SiliconScope.xcodeprojCompile from the terminal.
xcodebuild -scheme SiliconScope -configuration Release buildIt sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Swift, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
A self-hosted AI workspace with agents and tools — bring your own keys.
A modern self-hostable subscription manager with flexible reminder rules
A tiny conversational TTS model with cloning, streaming, and CPU speed.
A fast LLM inference server for Apple Silicon, managed from the macOS menu bar
Let any LLM actually watch a video — frames plus transcript, run locally.
Agent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release.
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls SiliconScope nicht das Richtige ist.
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.
Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die SiliconScope bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
One-command installer for a full self-hosted AI stack on your server.
Write an agent skill once, sync it to 32 AI coding tools.
A talking LLM voice assistant that runs fully offline on your computer.
Pixel-art desktop where your local-first AI agents visibly do real work.
Browse and resume your AI coding-agent sessions on macOS.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.