Show HN: Shumai – open-source Frame.io alternative for creative work
Shumai launches as an open-source, self-hostable alternative to Frame.io, offering a comprehensive suite for creative project collaboration. It appeals to the Hacker News crowd with its robust feature set, including frame-by-frame feedback, distributed transcoding, and integrated AI agents. The project emphasizes ease of deployment via Docker Compose and detailed installation options, highlighting its technical depth and community-driven potential.
The Lowdown
Shumai is introduced as an open-source platform designed to streamline creative workflows, serving as a direct competitor to Frame.io. It aims to provide a polished, creative-first workspace that facilitates file uploads, project management, and precise feedback collection, all while being easy to self-host.
Key features of Shumai include:
- Versatile Storage: Supports S3-compatible and local storage for creative assets.
- Precise Feedback: Offers frame-by-frame annotations and timestamped comments on video and image assets.
- Secure Collaboration: Enables secure public share links and curated media collections with granular access control.
- Scalable Transcoding: Utilizes Temporal for distributed, resource-intensive video transcoding.
- Custom Metadata: Allows definition of dynamic metadata fields tailored to production pipelines.
- Shumai Agent: Integrates an AI agent for collaborative chat, custom skill execution in sandboxed environments, AI-powered metadata autofill (using Google Gemini), and semantic search based on vector embeddings.
Installation is made straightforward with Docker Compose for quick setup, or via NPM for more customized deployments requiring a PostgreSQL instance with pgvector. The platform also provides a Command Line Interface (CLI) for managing projects, folders, and assets directly from the terminal.
Shumai presents itself as a powerful, flexible, and community-driven solution for creative professionals seeking an open-source alternative to proprietary collaboration tools, with a strong emphasis on modern technical architecture and AI integration.