HyperFrames

HyperFrames Student Kit is a reusable video-editing resource repository for Codex and Claude Code, covering edited videos, reels, and YouTube Shorts. It provides 14 mirrored assistant skills, helper scripts, storytelling and short-form editing workflows, transcript-driven cutting, silence and mistake detection, reviewed-cut rendering, caption and beat-sync validation, and preflight tools. The kit uses HyperFrames and GSAP to build motion graphics. It includes hundreds of draft motion-graphics cards across two styles, editable scene templates, manifests and design tokens, 12 teaching projects, and a synthetic starter composition that does not require footage or an API key. Optional transcription and asset-generation workflows can use ElevenLabs Scribe, Whisper, local Whisper, or Kie.ai; users supply their own keys and credits for paid services. The repository is installed with Node.js, Git, FFmpeg, and Chrome or Chromium, then used through Codex or Claude Code commands and HyperFrames lint, preview, and render commands. It is distributed as source code on GitHub and includes setup, workflow, migration, validation, and customization documentation.

Finger Frame AI is a browser app and Python CLI pipeline by Sophia Yang that places an AI-generated world inside a two-hand finger-frame gesture. It sends an uploaded video to Gemini Omni Flash for video-to-video restyling using a selected style or custom prompt, with alignment instructions intended to preserve framing, facial positions, expressions, blinks, gaze, and motion. MediaPipe Hand Landmarker then tracks both hands and the finger-frame quadrilateral frame by frame; the tracking pipeline uses anatomical corner ordering, spread and area gates with hysteresis, teleport rejection, velocity-adaptive smoothing, dropout holding, and presence fading. The compositor reveals the restyled video through the tracked quadrilateral and adds a dashed outline with pulsing corner markers. The browser app exports MP4 where browser recording supports it and otherwise WebM. The CLI separates restyling and compositing into `stylize.py` and `composite.py`, accepts formats readable by FFmpeg or OpenCV, and can produce H.264 MP4 while retaining the original audio track when present. Users provide their own Gemini API key; the app keeps it in the browser and sends it only to Google's API. Generation is billed per video, and the app recommends keeping uploads under about 15 MB. A no-key placeholder mode runs the tracking, compositing, and export pipeline with a hue-shifted stand-in.

OpenMontage is an open-source, agent-driven video production system that turns plain-language instructions into video projects through an AI coding assistant. Its workflow covers research, scripting, production planning, asset generation, editing, and final composition, with production pipelines, approval gates, cost estimates, and post-render checks. The system can produce image-based videos as well as videos assembled from real motion footage: its agent can build a corpus from free stock footage and open archives, retrieve clips, edit them into a timeline, and render the result. It runs locally with FFmpeg and Remotion and includes 12 production pipelines, more than 100 tools, and hundreds of agent-skill and production-knowledge files.

video-use is an open-source video-editing tool for coding agents such as Claude Code, Codex, Hermes, and Openclaw. It takes raw footage in a folder and produces an edited MP4, with support for removing filler words and dead space, applying FFmpeg color-grading chains, adding short audio fades at cuts, burning customizable subtitles, and generating animation overlays through HyperFrames, Remotion, Manim, or PIL. Its pipeline transcribes each source with ElevenLabs Scribe, packing word-level timestamps, speaker diarization, and audio events into a Markdown view. The agent reasons over that transcript and requests filmstrip, waveform, and word-label composites from timeline_view only at decision points, rather than processing every video frame as visual context. It then creates an edit decision list, renders the result, evaluates the rendered video at every cut boundary for visual jumps, audio pops, and subtitle problems, and can revise and re-render up to three times. The tool uses an approval-oriented workflow in which the agent inventories sources, proposes an editing strategy, waits for confirmation, executes the edit, evaluates it, and persists session memory in project.md. It requires FFmpeg and an ElevenLabs API key; yt-dlp is optional for downloading online sources. Outputs are placed in an edit directory next to the source footage.

FFmpeg is a collection of libraries and command-line tools for processing multimedia content, including audio, video, subtitles, and related metadata. Its libraries provide codec implementations, streaming and container-format handling, filtering through directed graphs, device access, audio mixing and resampling, and image scaling and color conversion. The toolset includes ffmpeg for manipulating, converting, and streaming media, ffplay for playback, and ffprobe for inspecting media content. The codebase is mainly licensed under the LGPL, with optional components under the GPL. The repository is an official mirror of the FFmpeg project's Git repository; the project directs contributors to submit patches through its mailing list rather than GitHub pull requests.