Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks

A tutorial reconstructs the VideoAgent multi-agent pipeline for video editing, integrating intent parsing, graph planning, tool routing, and textual-gradient optimization with FFmpeg, Whisper, and other tools. The system enables natural-language-driven video question answering, summarization, and editing.

In this tutorial, we reconstruct the VideoAgent workflow as a runnable, API-key-free multi-agent pipeline. We build an intent parser, an agent library, a tool router, a graph planner, and a textual-gradient optimizer that repairs the execution graph. We wire these planning components to FFmpeg, Whisper transcription, scene detection, keyframe sampling, captioning, cross-modal indexing, and beat-synced editing. By the end, we have a system that answers questions about a video, summarizes it, and produces edited artifacts from natural-language instructions. The post Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks https://www.marktechpost.com/2026/07/13/building-a-videoagent-style-multi-agent-system-intent-parsing-graph-planning-and-tool-routing-for-video-editing-tasks/ appeared first on MarkTechPost https://www.marktechpost.com .