OpenMontage is an open-source, agentic video production platform where an AI coding assistant (Claude Code, Cursor) orchestrates the entire pipeline. It provides a library of 100+ tools (video generation, audio, graphics, enhancement, analysis, avatar, subtitles) behind a scored provider selection layer, and 10+ production pipeline manifests (animated explainer, cinematic, documentary montage, talking head, etc.) that define stage order, approval gates, and tool assignments. The core architecture is a Python framework with a BaseTool class, ToolRegistry for auto-discovery, pipeline loader, checkpoint system, and a Remotion-based video composer. It also includes a Backlot living storyboard server for live production monitoring and an Ink Theater procedural puppetry engine. While primarily an application, it contains data/research elements such as ManimGL/ManimCE educational animation examples covering transformer internals, quantum mechanics, and ML concepts, as well as a CLIP-based corpus builder for documentary montage pipelines.
This repository is a full-stack video course management system (CVM) designed for creating, editing, and publishing technical video lessons. It consists of a web application (React Router v7 with SSR), a CLI tool (`cvm`), a remote RPC API (Hono, deployed on Vercel), and several internal packages including a core domain library with Drizzle ORM schema, a standalone Remotion overlay renderer, and a vendored Lucide icon set. The system orchestrates complex workflows such as video capture (OBS integration), timeline editing with clip trimming and overlay compositing, AI-assisted content generation (chapter autofill, SEO descriptions, newsletters using Anthropic Claude), and publishing to YouTube, Dropbox, and Buffer. A teleprompter popup syncs via BroadcastChannel, and a diagram editor built on tldraw supports snapshot-based revision history. The architecture is heavily driven by Effect-ts for backend services, with a clear separation between read-only CLI operations (via HTTP RPC) and write operations (via web app routes). The frontend uses optimistic updates for a fluid user experience, while the backend enforces draft-gate policies to prevent writes to published course versions. The codebase is thoroughly tested with Vitest and PGlite in-memory PostgreSQL, using fake service layers for external dependencies (Dropbox, AI generation, video processing). Despite its healthy test coverage and well-structured service pattern, the repository shows signs of organic growth: multiple modals with duplicated state logic, large reducer files, and some drift between duplicated prompt definitions. The dependency on the Effect-ts ecosystem and a large number of third-party APIs (Dropbox, YouTube, Buffer, OBS, Cloudinary) creates a maintenance surface that requires careful version alignment. The overlay renderer is isolated as a separate package with its own build process, reducing coupling but adding deployment complexity.