Lokale LLMs
Jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
★ 44,8 Tsd. SterneCustom (check repo)
Anleitung ansehen →claude-real-video ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von HUANGCHIHHUNGLeo (HUANGCHIHHUNGLeo/claude-real-video auf GitHub). Es hat 2.196 Sterne auf GitHub und 195 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
Let any LLM actually watch a video — frames plus transcript, run locally.
Set it up from the repo.
Pass a URL or local file.
It pulls scene-aware frames and the transcript.
Query any model about the video content.
Extracts frames that represent scene changes.
Drops redundant frames to save context.
Combines visuals with spoken content.
Works with online and offline video.
Not tied to Claude despite the name.
Processing happens on your machine.
Download the source and move into the project folder.
git clone https://github.com/HUANGCHIHHUNGLeo/claude-real-video.git
cd claude-real-videoEvery 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, any LLM can consume the frames and transcript output.
MIT licensed — commercial use allowed.
Deduplication keeps context manageable; very long videos need chunking.
Yes, ffmpeg handles the frame extraction.
The site mentions a pro offering; the repo itself is open source.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
✨ Zero-config AI chat assistant. No API key needed — sign up and instantly chat with GPT-5, Claude 4, Gemini 2.5, DeepSeek & 100+ top models. Pay-as-you-go s…
Local API bridge to run Claude and Antigravity inside other coding clients.
AI-native video editing on real timelines with local agents.
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls claude-real-video 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 claude-real-video bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Run controllable pre-trained AI models locally, written in Rust.
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Noise-robust subtitle generator powered by Whisper and local ASR models.
Local-first desktop where a commander LLM directs specialist coding agents.
Fast Rust scraper that turns web pages into clean data for LLMs.
Sandbox for local AI agents so they only touch what they need.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.