Jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
claude-real-video est un projet de LLM locaux open source, créé par HUANGCHIHHUNGLeo (HUANGCHIHHUNGLeo/claude-real-video sur GitHub). Il compte 2 196 étoiles sur GitHub et 195 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
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
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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
Les autres projets de la catégorie LLM locaux avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si claude-real-video ne vous convient pas.
The simplest way to run open language models on your own machine.
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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.
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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.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.