Orkas-VideoStudio

mcp
Guvenlik Denetimi
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  • License — License: MIT
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  • process.env — Environment variable access in packages/core/src/config/config.ts
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Bu listing icin henuz AI raporu yok.

SUMMARY

Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.

README.md

OrkasVideoStudio

Drive video composition, generation, and editing — and a fully automatic end-to-end
pipeline
— from your coding agent. Claude Code, Codex, Cursor: any agent that can run a
shell or speak MCP can use it.

https://github.com/user-attachments/assets/13411470-06da-4f64-9bc1-fa52fe27216b

OrkasVideoStudio is not a black-box video agent. A video is expressed as a readable,
diffable, re-renderable plan (plan.json) that your agent — and you — can edit; change one
line and only that piece re-renders. The agent is the brain; this project ships the
knowledge (what makes a good video, and which production line to take), the
deterministic capabilities (render / edit / transcribe / generate — thin wrappers over
hyperframes, ffmpeg, and whisper.cpp), and
that editable IR.

You talk to your agent in plain language — "make a 60-second vertical explainer on vector
databases with a Chinese voiceover and captions"
— and it reads the material, writes the
timeline, and produces the file.


The four production lines

Three orthogonal capability axes, plus an automatic pipeline that weaves them together:

  • Compose — script → designed HTML motion graphics → mp4. Explainers, kinetic typography,
    lower-thirds, data viz, title cards, transitions. No paid keys.
  • Edit — cut / join / trim-silence / de-filler / mix / burn-in subtitles / dub / localize
    real footage you supply, plus highlight selection over long recordings. No paid keys.
  • Generate — talking-head or cinematic AI footage and imagery via your own provider
    keys (BYO — OpenAI, Gemini, Doubao; no managed backend, no lock-in).
  • Auto (end-to-end) — when a deliverable needs more than one axis, the agent routes to a
    single cross-modal plan.json: stage-plan builds the EDL, stage-assemble walks it and
    delegates each segment back to compose / generate / edit, and a deterministic
    delivery guard (ovs plan promise-check) verifies the finished cut keeps its promise
    (e.g. real motion, not a silent slideshow) before anything ships.

The plan is the contract: "the footage in the middle, generate an opener, compose the stats,
one voiceover over all of it"
becomes one editable file where every segment, caption, and
narration line is independently re-renderable.


Relationship to Orkas

OrkasVideoStudio began life as the built-in video agent inside Orkas
the AI-team desktop app — where it was validated end-to-end, then extracted into this
agent-agnostic, MIT-licensed toolkit.

  • Inside Orkas it ships as a built-in agent — no separate install; the zero-key trunk
    works out of the box.
  • Everywhere else you install it into your own coding agent (below) and get the same
    capabilities via the ovs CLI and MCP server.

Links: orkas.ai (website) · github.com/Orkas-AI
(open-source projects) · this repo.


Use cases

Each is a real prompt you'd give your agent; the router picks the line for you.

You say… Line What happens
"Make a 60s vertical explainer on what a vector DB is, Chinese voiceover + captions." Compose HTML motion-graphic scenes → narration (BYO TTS) → burned-in captions → mp4.
"Turn this 1-hour screen recording into three 30s highlight clips with captions." Edit scenes/quality find the good parts, rank-takes picks, trim-silence/remove-fillers tighten, subtitles burned in.
"Add an English voiceover + subtitles to product-demo.mp4 and normalize the loudness." Edit transcribe → localize → speakmixburnsubs → loudness pass.
"Clean the silences and 'um's out of my webcam take and tighten it." Edit deterministic jump-cut with an auditable evidence trail.
"Generate a 5s cinematic shot of a city at dawn for the intro." Generate BYO image/video provider → clip on your timeline.
"Make a 15s 9:16 promo from this script: generate the opener, compose the feature callouts, one VO." Auto one plan.json woven across generate + compose + narration, guarded before delivery.

Install

Prerequisites: Node ≥ 20, and ffmpeg + ffprobe on your PATH (needed for edit /
transcribe / the local trunk). Compose/render pulls HyperFrames
at runtime via npx (first run needs network). Generation is opt-in and needs your own keys.

Early development: the npm packages are being published. Until then, install from source
— the ovs CLI works exactly the same.

From source (works today)

git clone https://github.com/Orkas-AI/Orkas-VideoStudio.git
cd Orkas-VideoStudio
pnpm install && pnpm build
node packages/cli/dist/index.js doctor     # verify ffmpeg/ffprobe/node
# optionally alias it:  alias ovs="node $PWD/packages/cli/dist/index.js"

From npm (once published)

npm i -g @orkas/video-studio     # provides the `ovs` command
ovs doctor                       # checks ffmpeg/ffprobe/node; guides any install

Drive it from your coding agent

The ovs CLI is the canonical interface; the MCP tools mirror it 1:1. There are three ways an
agent picks it up — use whichever your agent supports:

1) Native skills (Claude Code / Codex). Materialize the SKILL.md knowledge pack so the
agent discovers it by progressive disclosure:

ovs skills --install --target claude   # → ~/.claude/skills   (add --scope repo for ./.claude/skills)
ovs skills --install --target codex    # → ~/.agents/skills

2) MCP typed tools. Register the server (mirrors the CLI):

claude mcp add ovs -- npx -y @orkas/video-studio-mcp     # Claude Code
codex  mcp add ovs -- npx -y @orkas/video-studio-mcp     # Codex
# from source (until published): point it at  node <repo>/packages/mcp/dist/index.js

3) Self-describing CLI (any agent that can run a shell). No native loader needed:

ovs skills               # list the skills
ovs skill video-router   # print a skill's full instructions into context
ovs --help               # the full command surface

How a session flows. The agent reads video-router first (it locks the line), then the
relevant stage skills, authors the composition and/or plan.json, runs the deterministic
ops, and self-verifies with the delivery guard:

You:   Make a 60s vertical explainer on vector databases, with a Chinese voiceover.
Agent: → reads video-router (locks: compose-primary)
       → reads stage-plan / stage-compose / video-craft
       → writes composition/index.html + plan.json
       → ovs render composition --out draft.mp4
       → ovs plan promise-check plan.json         # guard passes
       → returns draft.mp4

The full command surface: doctor · render · lint · inspect · edit {probe,trim,concat, burnsubs,overlay,extract-frame,loudness,mix,trim-silence,remove-fillers} · transcribe · silence · scenes · quality · plan {validate,summarize,promise-check,rank-takes} · speak · image · video · skills.


BYO generation providers

The compose / edit / transcribe trunk is zero-key. Generation (image / video / TTS) is
opt-in and uses your keys — no managed backend, no account binding. Configure via
~/.config/orkas-video-studio/config.json (or OVS_CONFIG_DIR) or environment variables:

Capability Providers Env
Image (ovs image) OpenAI-compatible · Gemini · Doubao Seedream OVS_IMAGE_PROVIDER · OVS_IMAGE_BASE_URL · OVS_IMAGE_API_KEY · OVS_IMAGE_MODEL
Video (ovs video) Doubao Seedance (image-to-video) OVS_VIDEO_PROVIDER · OVS_VIDEO_BASE_URL · OVS_VIDEO_API_KEY · OVS_VIDEO_MODEL
TTS (ovs speak) OpenAI-compatible (incl. ElevenLabs-style) OVS_TTS_BASE_URL · OVS_TTS_API_KEY · OVS_TTS_MODEL · OVS_TTS_VOICE · OVS_TTS_FORMAT

How it compares

HyperFrames, ffmpeg, and whisper.cpp are dependencies here, not competitors — OrkasVideoStudio
is the agent-facing knowledge + IR layer on top of them. Against other ways to make video:

OrkasVideoStudio Programmatic frameworks (Remotion, Revideo) AI SaaS editors (Descript, Opus Clip, Runway) Thin MCP / ffmpeg wrappers
Driver any coding agent, in natural language (CLI + MCP) you hand-write React/TS GUI / hosted an agent, but tools only
Artifact editable, diffable plan.json IR — per-segment re-render code (re-run to render) black-box timeline / hosted project none
Scope compose + edit + generate + AUTO end-to-end composition (programmatic) mostly edit or generate, per product whatever the tool exposes
Guidance ships "what makes a good video" as skills + a deterministic delivery guard none — you decide product-opinionated none
Keys / hosting zero-key trunk; BYO keys for generation; local-first, self-host your own infra vendor keys + hosted, lock-in varies
License MIT may require a company license for teams proprietary varies

Where it fits: reach for a framework when you want to hand-code every frame; a SaaS
editor
when a GUI and hosting are the point; OrkasVideoStudio when you want your agent
to make the video, keep the result as an auditable file you can edit and re-render, and stay
local + open with your own keys.


Packages

Package What
@orkas/video-studio-core the plan.json IR (schema + validator + delivery guard), decision layer, runtime/config
@orkas/video-studio-tools capability backends (render / edit / analyze / speech / image / video)
@orkas/video-studio the ovs CLI
@orkas/video-studio-mcp MCP server (mirrors the CLI 1:1)
@orkas/video-studio-skills the host-neutral SKILL.md knowledge pack

The technical plan and roadmap live in PLAN.md.

Development

pnpm install
pnpm build        # tsc per package (core → tools → cli/mcp)
pnpm test         # vitest
pnpm typecheck

License

MIT — see LICENSE. Rendering uses HyperFrames
at runtime via npx; editing/transcription use system ffmpeg and whisper.cpp. See
PLAN.md for how third-party runtimes are located and the licensing notes.

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