Awesome AI Agents › Video Processing Agents

Video Processing Agents

9 projects

GetStream/Vision-Agents

Open Vision Agents by Stream is a platform for building real-time, low-latency multi-modal AI agents that understand and interact with video content using advanced models and Stream's edge network.

⭐ 8121 Python added 2025-12-15

RayVentura/ShortGPT

ShortGPT is an AI-powered framework that automates video content creation and editing for platforms like YouTube Shorts and TikTok, supporting multi-language voiceovers and automated footage sourcing.

⭐ 7940 Python added 2025-03-10

showlab/Awesome-Video-Diffusion

A curated list of recent diffusion models and resources for video generation, editing, restoration, and various AI-driven video applications.

⭐ 5777

dramaclaw/dramaclaw

Source-available AIGC video production pipeline that turns a manuscript into a finished short drama, handling character extraction, episode planning, scripts, storyboards, voice-over and final editing.

⭐ 5674 TypeScript added 2026-08-31

nexu-io/html-video

Apache-2.0 toolkit that lets local coding agents turn HTML, CSS and data into real MP4 video through pluggable render engines, 21 animated templates and an optional AI soundtrack.

⭐ 4570 HTML

HKUDS/VideoAgent

Multi-agent framework for video understanding, editing and generation that parses user intent, builds a graph-based tool workflow and produces edited or newly created videos from natural language.

⭐ 1873 Python

video-db/Director

Director is an AI video agents framework that enables complex video tasks like search, editing, and generation through natural language commands and real-time streaming, built on VideoDB's video-as-data infrastructure.

⭐ 1530 Python

video-db/StreamRAG

StreamRAG is a GPT-powered video search and streaming agent that enables real-time video search, summarization, and publishing of searchable video collections on the ChatGPT store.

⭐ 502 Python added 2025-03-09

microsoft/DeepVideoDiscovery

Microsoft research agent for long-form video question answering that treats segmented clips as an environment and iteratively selects multi-granular search tools, reaching state of the art on LVBench.

⭐ 418 Python