AutoClip

BridgeClip is an open-source AI desktop app from BridgeMind that turns local videos or podcast, YouTube, and Twitch VOD links into captioned short-form clips. It downloads the source when needed, transcribes speech, uses OpenRouter to identify promising moments and plan the clips, reframes them to 9:16 or 16:9, and renders the results locally with FFmpeg and word-by-word captions. It supports smart face and screen-share framing, multiple caption styles, clip libraries and job tracking, and optional publishing or scheduling through Zernio. The app runs on the user's computer without a BridgeMind backend; provider keys and transcription or planning data are sent to the selected OpenRouter services, while rendering is local. macOS and Windows releases are provided, Linux development is supported, and the project is MIT licensed.

OpenShorts is an open-source AI video platform for turning long-form videos such as podcasts, webinars, livestreams, and interviews into 9:16 short-form clips. Its Clip Generator transcribes videos with faster-whisper, detects scene boundaries with PySceneDetect, uses an LLM to identify potential moments, cuts them with FFmpeg, and applies face-tracked or multi-speaker vertical layouts, word-level subtitles, hook overlays, effects, and optional dubbing. The platform also includes AI Shorts for generating UGC-style marketing videos with AI actors, scripts, voiceovers, b-roll, and lip-sync, plus YouTube Studio tools for thumbnails, titles, descriptions, and direct publishing. Clips can be distributed to TikTok, Instagram Reels, and YouTube Shorts through Upload-Post, and the system provides an MCP server, REST API, webhooks, CLI, and agent skill for automation. The core application can be self-hosted with Docker under the MIT license; a hosted version is available at openshorts.app, while the cloud service infrastructure is source-available under a separate commercial license.

Clipnote is a notepad for saving and organizing content generated in AI conversations. It stores plain text, Markdown, and HTML clips, preserving HTML layout and interactivity, and lets users search, pin, archive, version, restore, and delete them. Clips can be private or shared through public URLs, and collections bundle multiple clips into one shareable page. Through MCP connections with Claude and ChatGPT, an assistant can save a new clip, retrieve a clip's content to inform a response, or update an existing clip. Updates automatically preserve the previous version. Clips can also be created or updated manually by pasting text or uploading a file.

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.