Code & Development · GitHub ·31 ★

VideoContext-Engine

Local Video RAG Engine. A FastAPI microservice for video understanding: Scene Detection + Whisper ASR + Qwen3-VL. Optimized for Apple Silicon (MLX) & Windows/Linux (Llama.cpp).

Details

Author
dolphin-creator
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
31
First indexed
2026-05-15
Last active
2025-12-04
Directory sync
2026-05-15

Overview

Local Video RAG Engine. A FastAPI microservice for video understanding: Scene Detection + Whisper ASR + Qwen3-VL. Optimized for Apple Silicon (MLX) & Windows/Linux (Llama.cpp).

Quick start

git

git clone https://github.com/dolphin-creator/VideoContext-Engine

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What VideoContext-Engine can do

  • Whisper — whisper task automation.
  • Api — api task automation.
  • Rag — Retrieves grounded context before answering.
  • Analy — analy task automation.

Frequently asked questions

What is VideoContext-Engine?
Local Video RAG Engine. A FastAPI microservice for video understanding: Scene Detection + Whisper ASR + Qwen3-VL. Optimized for Apple Silicon (MLX) & Windows/Linux (Llama.cpp).
How do I install VideoContext-Engine?
Use git: `git clone https://github.com/dolphin-creator/VideoContext-Engine`. Full setup details on the source page linked above.
Is VideoContext-Engine open source?
VideoContext-Engine is published on GitHub.
What are alternatives to VideoContext-Engine?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for VideoContext-Engine is sourced from GitHub, published by dolphin-creator.

Last scraped: · First indexed:

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