[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3fwcdsn7y1hfb":3},{"code":4,"message":5,"data":6,"timestamp":71},10000,"success",{"full_name":7,"position":8,"description":9,"language":10,"stars":11,"forks":12,"stars_gained":13,"age_days":14,"hn_threads":15,"one_liner":42,"summary_md":43,"topic":44,"github_topics":47,"license":67,"homepage":68,"updated_at":69,"history":70},"calesthio\u002FOpenMontage",13,"World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.","Python",71515,9265,10478,209,[16,22,27,33,38],{"id":17,"title":18,"points":19,"comments":20,"posted_at":21},48616398,"OpenMontage: Turn your AI coding assistant into a full video production studio",7,1,"2026-06-21",{"id":23,"title":24,"points":25,"comments":20,"posted_at":26},48647621,"OpenMontage: Open-source, agentic video production system",5,"2026-06-23",{"id":28,"title":29,"points":30,"comments":31,"posted_at":32},48740853,"OpenMontage: an open-source agent that edits real footage into video",3,0,"2026-07-01",{"id":34,"title":35,"points":36,"comments":31,"posted_at":37},48592834,"OpenMontage the first open-source, agentic video production system",2,"2026-06-18",{"id":39,"title":40,"points":20,"comments":31,"posted_at":41},48686111,"The first open-source, agentic video production system","2026-06-26","Turns an AI coding assistant into a video production crew for solo creators who want scripts, assets and edits without a timeline editor.","## The problem\n\nProducing a short video end to end means jumping between a script doc, stock-footage sites, image and video generators, a TTS service, and a nonlinear editor, then re-exporting every time something changes. That loop favors people who already know editing software. OpenMontage instead packages this process as agent-readable pipelines and skill files, so an AI coding assistant orchestrates research, scripting, asset retrieval, editing and final composition from a plain-language request.\n\n## What's different\n\nMost \"AI video\" tools are hosted products that generate a clip from a prompt and leave assembly to you; the open-source alternative is usually a thin wrapper around one generation API. OpenMontage's bet is on breadth and orchestration: a dozen named pipelines, provider adapters to multiple hosted image, video and TTS services as well as free stock archives, FFmpeg and Remotion for the render, and a local Backlot board that turns asset generation into an approval gate with per-asset cost. It also claims real motion-footage editing from open archives rather than only animating stills. These are process claims, not verified output quality; the README is mostly showcase videos and does not document how the pipelines behave on messy inputs.\n\n## Who it's for\n\nSolo creators, technical marketers and developer-adjacent teams who are comfortable in a terminal and already pay for Claude Code, Cursor, Copilot or similar assistants. It suits short-form and explainer work where you want a reproducible, inspectable project folder. It does not suit professional editors who need frame-accurate timeline control, teams that cannot send footage or scripts to third-party generation APIs, or anyone expecting a point-and-click web app. If you only need a caption burn-in or a trim, FFmpeg plus a script is cheaper.\n\n## Cost of adoption\n\nPython plus Node tooling for the Remotion path, FFmpeg, and at minimum one assistant subscription. Real output depends on paid provider keys; the README's own examples cite costs of roughly $1 to $5 per short but do not explain how quality degrades with free providers. AGPL-3.0 matters if you plan to host this as a service. The project is young, and the README is thin on setup, troubleshooting and limitations, so expect to read the code and the agent guide to get unstuck.\n\n## Verdict\n\nOpenMontage is a new project, created in March 2026 and tracked only since October; the +10,478 stars this month and the #13 monthly Python board spot describe a sharp attention spike, not an established track record. It has not appeared on the daily trending board, and its Hacker News presence is negligible (a 7-point thread). The approach is genuinely interesting, but with 209 days of history and a showcase-heavy README, treat it as an experiment: clone it, run a short project with free providers first, and judge the output yourself before committing any workflow or budget.",{"slug":45,"name":46},"media","Media & Design",[48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"agent","agentic-ai","ai","claude","copilot","cursor","elevenlabs","ffmpeg","flux","image-generation","open-source","openai","python","remotion","stable-diffusion","text-to-speech","text-to-video","video-generation","video-production","AGPL-3.0","https:\u002F\u002Fwww.openmontage.video\u002F","2026-10-24T15:35:12Z",[],1792868570]