FFmpeg

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-skill is an agent skill that gives Claude Code, Cursor, Codex, and other agents a local video- and audio-editing workflow built on FFmpeg and ffprobe. It uses a probe → edit, preferring stream copying where possible → check → verify process, with typed Python scripts rather than shell strings. Its 21 tools cover cutting, joining, silence removal, duration and aspect-ratio fitting, captions, overlays, graphics, HDR-to-SDR conversion, LUTs, audio cleanup, loudness, synchronization with drift correction, multicamera editing, delivery checks, project rendering, and batch processing. Each tool supports structured results and dry runs, and the machine-readable contract generates an MCP interface whose tool definitions are derived from the scripts. The skill runs locally without cloud services, API keys, or Python dependencies beyond the standard library; it requires FFmpeg 5.0 or later. It is a tool for local, agent-controlled workflows that probe, edit, verify, and render video.

Jellyfin is a free software media system for managing and streaming a user's own media from a dedicated, self-hosted server to end-user devices through multiple apps. It is an alternative to proprietary media servers such as Emby and Plex. This repository contains Jellyfin's backend server and API; the server hosts the web client, uses FFmpeg for media processing, and is built on the .NET platform for cross-platform support. Jellyfin is distributed without premium licenses or features.

HyperFrames is an open-source framework for turning HTML, CSS, media, and seekable animations into deterministic MP4 videos. It can be used locally through a CLI, by AI coding agents through skills, or as a rendering core for hosted authoring workflows. Compositions are defined as HTML with data attributes for timing, tracks, media, and sub-compositions. The renderer seeks each frame in headless Chrome, uses animation adapters such as GSAP, CSS, Lottie, Three.js, Anime.js, or WAAPI, and encodes the result with FFmpeg; its toolchain includes preview, linting, inspection, local rendering, browser-based editing, reusable catalog components, and AWS Lambda rendering. The project requires Node.js 22 or newer and FFmpeg, does not require React or a build step, and is licensed under Apache 2.0. Its agent skills support workflows including product videos, explainers, pull-request videos, captions, motion graphics, slideshows, music-driven videos, and general compositions.

WolfCut is a free, open-source native video editor positioned as a CapCut replacement. Its Rust engine handles cutting and encoding, while a React interface provides multi-track editing, multiple timelines per project, splitting, trimming, merging, transitions, speed control, titles, styled text, templates, and voice filters. The application includes local text-to-speech and auto-caption features; captions run on the user's machine and audio is not sent elsewhere. It is designed to run without watermarks, accounts, subscriptions, or additional downloads, and supports macOS, Windows, Linux, and Nix. The repository describes it as an alpha pre-release distributed through GitHub Releases.