Lokale LLMs
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Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
★ 77,2 Tsd. SterneApache-2.0
Anleitung ansehen →ai-file-sorter ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von hyperfield (hyperfield/ai-file-sorter auf GitHub). Es hat 1.793 Sterne auf GitHub und 184 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
AI file organizer that sorts and renames files by understanding content.
Get the desktop build for your OS.
Choose the messy directory to organize.
Review the AI's sort and rename plan.
Approve and let it organize, fully under your control.
Understands files, not just filenames.
Choose private or powerful models.
Nothing moves without your approval.
You stay in charge of every change.
Desktop app for major operating systems.
Names files by what they contain.
Download the source and move into the project folder.
git clone https://github.com/hyperfield/ai-file-sorter.git
cd ai-file-sorterEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, preview-based workflows mean you approve every change.
Commercial use is allowed, but network use of modified versions requires sharing source.
Yes, both local and remote LLMs are supported.
It is a cross-platform desktop app; check releases for your OS.
Content-aware organization covers file contents; check the docs for formats.
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
The simplest way to run open language models on your own machine.
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Distribute and run LLMs with a single file.
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Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ai-file-sorter 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 ai-file-sorter bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Elegant AI chat client with workspaces, plugins, and local-first sync.
AI OSINT agent with 20 tools and REPL — for authorized research only.
Local-first agent harness with loop, memory, and evals in readable code.
Whisper-powered subtitle generation: Web UI, CLI, and package.
Personal AI agent that takes goals and works alone across your devices.
Self-evolving general AI agent running fully locally, a Manus-style alternative.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.