Shumai – open-source Frame.io alternative for creative work
Shumai is an open source platform for uploading creative files, managing projects, collecting precise feedback, sharing work, and collaborating with AI agents, all in one simple creative-first workspace. I’ve always liked the product design of Frame.io, and I wanted to build an alternative that feels just as polished, while being open source and easy to self host. You can deploy Shumai with docker compose in just a few minutes. It can also be installed from npm, though you'll need to provide your own PostgreSQL instance with the pgvector extension installed. For larger deployments, Shumai…
Shumai – open-source Frame.io alternative for creative work launched on June 23, 2026 with 63 votes, #618 of 22,647 launches that month and more than 95% of that year's launches.
In plain words
Shumai is an open-source platform for creative teams to upload files, manage projects, collect feedback, and collaborate with AI agents in a single workspace. Designed as an alternative to Frame.io, it emphasizes polished product design while remaining self-hosted and easy to deploy via Docker Compose or npm. The platform supports distributed processing for resource-intensive tasks like video transcoding, making it suitable for teams of varying sizes.
written from the facts on this page · September 2026
From the sources
AI-native, open-source Frame.io alternative for creative collaboration. - shumaiOne/shumai
In the maker’s words, at launch
Shumai is an open source platform for uploading creative files, managing projects, collecting precise feedback, sharing work, and collaborating with AI agents, all in one simple creative-first workspace. I’ve always liked the product design of Frame.io, and I wanted to build an alternative that feels just as…
Does a similar job
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Open-source AI video editor2025 · github.com · ▲268Hey HN community! I'm one of the lead devs of this project at fal.ai and we created an open source lightweight video editor powered by the latest media AI models. The main goal was to tackle some challenges when dealing with complex media handling and encoding on the browser. It all started as an internal experiment but as we tackled some of the issues it was clear there could be some value sharing it with the open source community. Some of the key points and tech stack details: - It uses IndexedDb, so all data is local (i.e. no auth, no cloud db) - Multiple AI models for video, image, music…


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