Composer 2.5

Compositor is a free, open-source image editor for macOS built around Photoshop-style compositing and post-processing workflows. It uses layers and folders with blend modes, opacity, masks, clipping masks, adjustment layers, non-destructive transforms, selections, painting and retouching tools, content-aware fill, filters, and multiple project tabs. It imports JPEG, PNG, HEIC, and TIFF files, and exports JPEG images; Photoshop-style keyboard shortcuts are supported throughout. The repository provides an Xcode project and documents macOS 26 and Xcode 26 requirements. It is licensed under the MIT License.

C-Dance 2.0 is described in the videos as an AI video-generation system that creates scenes using character sheets, image frames, environment references, and voice-reference videos to maintain visual and voice consistency across scenes.

Design Studio AI is an open-source, agent-first design workspace for humans and AI agents. It supports web interfaces, slides, reports, wireframes, 3D scenes, and timeline videos; users start from a brief or template, inspect a preview, revise through chat or a manual editor, and work together on the same versioned document. The workspace provides structured flex/grid layouts, reusable design systems, 2D character motion, editable 3D scenes, BYOK text/image/speech/music/video generation, and exports including JSON, HTML, SVG, PNG, PDF, PowerPoint, WebM, GLB/glTF, React prototype ZIPs, and authorized Google Slides. It exposes REST, authenticated MCP, experimental WebMCP, and a CLI for agent access, and can run on Cloudflare or be self-hosted with Docker and persistent SQLite/files. The repository is distributed under the MIT license.

Needle 2 is an open-source, 45-million-parameter foundation model for tool calling, device use, and structured extraction on small devices. Its weights are compressed into a single 14 MB binary and integrated with its inference engine; the repository reports that a full session uses about 28 MB of RAM and performs inference without network access after setup. The model converts text and tool descriptions into schema-constrained JSON calls using a byte-level grammar, attaches a learned confidence score for threshold-based escalation, and can retrieve the top five tools from a larger catalogue. It uses a 256-token sliding window with tools pinned as key-value sinks to bound memory, and its Simple Attention Network combines a Hadamard MLP, grouped-query attention, engram key-value memory, and multi-lane hyper-connections. The Python package supports inference, LoRA fine-tuning, and checkpoint export; the inference engine is fetched from Hugging Face and cached, while the training stack is an optional installation.