4GitHub Trending (AI/LLM filtered)·
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.
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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.
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.
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.
OmniAgent: POMDP-based active perception agent for long video understanding with test-time scaling
Researchers introduce OmniAgent, a multimodal agent that reformulates long video understanding as a POMDP-based iterative Observation-Thought-Action cycle, selectively distilling audio-visual cues into persistent textual memory rather than processing all frames uniformly. The system uses Agentic Supervised Fine-Tuning and a novel reinforcement learning method (TAURA) with turn-level entropy for credit assignment. OmniAgent demonstrates positive test-time scaling and achieves state-of-the-art open-source results across ten benchmarks, with its 7B model outperforming Qwen2.5-VL-72B on LVBench (50.5% vs. 47.3%).
Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.
LiveKit Agents: open-source framework for realtime voice AI agents
LiveKit Agents is a Python framework for building realtime voice and video AI agents, currently tracking 11,044 GitHub stars with modest daily growth. The project provides infrastructure for integrating LLMs into live audio/video pipelines. It represents an active open-source tooling effort in the voice agent space.
Microsoft agent-framework: open-source library for building and orchestrating AI agents
Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.
Why Video Agent Models Are Next — Ethan He, xAI Grok Imagine
Latent Space interviews Ethan He, the lead behind xAI's Grok Imagine video generation product, covering its development in roughly three months. The discussion explores the distinction between video generation models and world models, and positions video agents as a significant near-term frontier. He argues Grok Imagine is underrated relative to its capabilities.