5GitHub Trending (AI/LLM filtered)·
video-use: open-source library for editing videos with coding agents
browser-use/video-use is a Python library enabling AI coding agents to edit videos programmatically, accumulating over 10,000 GitHub stars with strong daily momentum (+216). The project extends the browser-use agent paradigm to video editing workflows. High star count signals significant community interest in agent-driven media manipulation tooling.
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Related events (8)
VideoAgent: Agentic framework for video understanding, editing, and remaking
HKUDS has released VideoAgent, an open-source Python framework positioning itself as an all-in-one agentic system for video understanding, editing, and remaking. The repository is trending on GitHub with 1,098 total stars and 150 new stars in a single day. The project represents a multimodal agent harness targeting video as a first-class modality.
browser-use: Python library for making websites accessible to AI agents
browser-use is an open-source Python library designed to enable AI agents to interact with and automate tasks on websites. The project has accumulated over 98,500 GitHub stars, with 185 new stars on the trending day, indicating strong community traction. It sits in the agent-tool ecosystem as a browser automation layer for AI agents.
OpenMontage: open-source agentic video production system with 52 tools and 500+ agent skills
OpenMontage is a newly trending open-source Python project claiming to be the first agentic video production system, offering 12 pipelines, 52 tools, and 500+ agent skills. It is designed to extend AI coding assistants into full video production workflows. The project has accumulated 5,231 GitHub stars with 71 added today, indicating notable community traction.
Agent-Reach: open-source CLI tool giving AI agents multi-platform web access without API fees
Agent-Reach is an open-source Python CLI tool that enables AI agents to read and search across Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without requiring API keys or fees. The project has accumulated over 21,000 GitHub stars with 127 added today, indicating significant community traction. It addresses a common friction point in agent development: accessing real-time web content across multiple platforms.
HeyGen Hyperframes: HTML-to-Video Rendering Library Built for Agents
HeyGen has open-sourced Hyperframes, a TypeScript library that converts HTML into rendered video output, explicitly designed for use by AI agents. The project has accumulated 19,600 GitHub stars with 351 added today, indicating significant community interest. This positions HeyGen's video generation capabilities as a programmatic, agent-accessible tool rather than a purely human-facing product.
ViMax: Agentic Video Generation System (Director, Screenwriter, Producer, Generator All-in-One)
ViMax is an open-source Python framework from HKUDS that frames video generation as a multi-role agentic pipeline, combining director, screenwriter, producer, and video generator roles into a single system. The project has accumulated 4,524 GitHub stars with 174 added today, indicating significant community traction. It represents an application of agentic AI architectures to the video generation domain.
Simon Willison demonstrates using shot-scraper video for agent workflow recording
Simon Willison describes a technique for having AI agents record video demonstrations of their browser-based work using the shot-scraper video tool. The approach enables automated capture of agent activity for debugging, documentation, or demonstration purposes. This is a practical tooling pattern relevant to anyone building or evaluating web-browsing agents.
ByteDance Launches Seedance 2.0 Video Generation Model Globally via CapCut
ByteDance has deployed Seedance 2.0, a multimodal video generation model, to hundreds of millions of CapCut users across multiple global regions. The model supports text, image, audio, and video inputs with synchronized audio-video output, lip-synced dialogue, and camera control via prompts. It ranks within the top two on Arena AI and Artificial Analysis video leaderboards, and is available via API at $0.30 per second of output. The issue also features Andrew Ng's editorial arguing against the 'AI jobpocalypse' narrative, attributing it to incentive structures at labs and companies.