Build VideoAgent-like Multi-Agent System: Intent Parsing, Graph Planning & Tool Routing for Video Editing
Decision Brief
This tutorial details building a VideoAgent-like multi-agent system with intent parser, agent library, tool router, graph planner, and text gradient optimizer for fixing execution graphs. It integrates planning components with tools like FFmpeg, Whisper transcription, scene detection, keyframe sampling, subtitle generation, cross-modal indexing, and beat-sync editing. The final system answers video questions, generates summaries, and produces edited videos from natural language instructions. The entire pipeline runs without API keys, suitable for local deployment and experimentation by developers interested in video processing. It is ideal for teams or researchers wanting end-to-end video understanding and editing without relying on external cloud APIs.
Sources
- MarkTechPost
Fast research-paper and ML tooling summaries, useful for infra and agent updates.
- MarkTechPost
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