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PenEcho is an open-source shared canvas for handwriting, equations, diagrams, and spatial context. It reads marks and their spatial relationships on a 20,000 × 20,000 canvas, then places hints, explanations, formulas, plots, diagrams, and other AI-generated drafts beside the original content. Drafts can be moved, resized, copied, accepted, or discarded before becoming part of the canvas ink; users can draw with a stylus or mouse, lasso confirmed ink to move, resize, recolor, or delete it, and send selected content to Typeset without triggering an AI request when editing ordinary ink. The application supports editable sandboxed HTML widgets, professional diagrams, animations, and live-data plugins, which can be refined in place through incremental unified-diff edits rather than full regeneration. It supports up to ten API or CLI connections, including Kimi, MiniMax, Codex, and Claude Code configurations, with a selectable active connection per client. Canvases can be organized into projects, shared across authorized devices, and exported as cropped PNG files. PenEcho provides a desktop app and an npm installation requiring Node.js 20.3 or newer. It can run offline with a user's own API or authenticated CLI setup; API credentials remain on the host device and are not sent to browser code. PenEcho Cloud is an optional companion service for private versioned projects, synchronized favorites, linked-device remote access through a relay, and public sharing of Canvases and Widgets as Echoes or Crafts. The project is supported through Moonshot AI's Kimi Open Source Friends program.

barehands is an open-source, webcam-powered hand-tracked interface for AI assistants. It runs in Chrome with a webcam and overlays notes, images, and 3D models as cards over the camera feed; users manipulate them with gestures such as pinching, throwing, stretching, force-pulling, and two-finger dragging. The interface uses a local Python server and loads Google MediaPipe for hand tracking and three.js for 3D rendering. Markdown folders, including Obsidian vaults, can serve as note sources, while configured media folders provide images, transparent props, and 3D models. An AI assistant can control the interface through local files and shell scripts: state files drive the on-screen ring's status, and the board protocol presents content on the stage. The repository states that it can be used, modified, and built on commercially within a business, with redistributed versions remaining under the same license.

Palmier Pro is a Swift-native macOS video editor built for AI, with generative video and image models integrated into the timeline. It can expose a local MCP server at http://127.0.0.1:19789/mcp for connections from Claude, Codex, and Cursor, and includes an in-app agent that can create and edit within the same project. It requires macOS 26 (Tahoe) or later on Apple Silicon. Releases through v0.7.6 and the corresponding published source are available under GPLv3; later binary releases are proprietary.

Skill Recorder is a Microsoft desktop application that records a work session—including screen activity, application and window switches, browser pages, clipboard previews, and optional spoken narration—and uses the GitHub Copilot CLI to reconstruct the session as an overall intent and ordered steps. Users can review and edit the analysis, then generate either a reusable SKILL.md procedure for an AI agent or an Automation that runs on a schedule or trigger. Generated procedures prefer an agent’s native tools, such as the gh CLI or web_fetch, over replaying interface clicks and can generalize from the recorded example. Recording, frame extraction, local storage, and optional narration transcription occur on the computer; choosing Analyze sends the event timeline, extracted screen images, and narration text to GitHub’s cloud for Copilot processing. Narration is transcribed on-device using a Whisper model. The application is distributed as a source release that downloads a pinned Node.js runtime and builds the release locally without a global installation. macOS is the primary target, with Windows 11 support for x64 and ARM64 and Ubuntu installation instructions. A GitHub account with Copilot access is required.

Paper Aquarium is a home game that turns a child's marker-colored A4 sheet into a 3D fish swimming in a browser aquarium, with a phone used to capture the sheet and a large screen used for viewing. Four black corner markers identify the sheet and its species while allowing the capture code to locate it in the photo and undo perspective distortion. The system then crops the drawing along the species contour, removes the printed outline, and maps the result as a texture onto a Three.js fish model; the aquarium positions fish within a camera-frustum-shaped volume and infers their orientation from the animation's tail movement. It includes ready-made fish, food, coloring sheets, backgrounds, multiple aquariums, and phone-to-TV handoff through a QR code, link, or five-digit code. The server uses plain Node with no dependencies, with Three.js stored in the repository; it requires Node 18 or later.