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Director

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Basic Information

Director is a developer-focused framework for building video agents that reason about and automate complex video tasks. It provides infrastructure to create, orchestrate, and run agents that perform operations such as summarization, moment search, clipping, editing, compilation and generation, and it can stream results in real time. Director is built on top of VideoDB's video-as-data platform and combines a backend reasoning engine, a chat-based UI with integrated video playback, and a collection view for media management. The project includes pre-built agents and templates to extend or register new agents, supports local or cloud deployment, and exposes patterns for integrating external language models and GenAI APIs. It targets developers, creators, and teams wanting to add conversational, automated workflows over large media libraries.

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1032
App URL
https://github.com/video-db/Director
Github Repository
https://github.com/video-db/Director/blob/main/README.md

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App Details

Features
Director ships with over 20 pre-built video agents and templates that can be customized to handle common media tasks such as summarizing videos, generating movies from scripts, searching and indexing media libraries, creating highlight reels, dubbing and translating, clipping content, extracting frames and adding overlays. It provides a chat-based interface with built-in playback and controls, a backend reasoning engine that performs contextual understanding and dynamic agent orchestration, real-time progress updates and streaming results. The system is extensible so you can add custom agents, tools, or connect to external LLMs and GenAI APIs. The repo includes setup scripts, sample agent templates, and a modular architecture separating backend, frontend, and the player.
Use Cases
Director simplifies media workflows by abstracting complex video operations into reusable, orchestrated agents, enabling users to express tasks in natural language and have the system sequence the needed steps automatically. It reduces development effort by providing pre-built agents and a clear template for creating new ones, plus a reasoning engine that maintains context, handles multi-agent coordination and emits live progress. Teams can automate repetitive tasks like highlight extraction, subtitle generation, translation and content compilation, and integrate external AI services for advanced editing or generation. The framework supports local and cloud deployment, making it practical for prototypes and production, and it is suited for developers and creators who want to add conversational, programmatic control over video collections.

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