{"repo":"flowith-ai/canvas-cowork","free":true,"listed":false,"github":"https://github.com/flowith-ai/canvas-cowork","clone":"git clone https://github.com/flowith-ai/canvas-cowork.git","description":"Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes","language":"TypeScript","stars":40,"topics":["agent-skills","flowith","spatial-canvas","ai-agent","canvas","claude-code","mcp","skills-sh","codex","openclaw"],"license":"MIT","category":"ai-agents","readme_excerpt":"Canvas Cowork Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes on Flowith's shared canvas. Your AI agent gets a live cursor on the canvas. It moves in real time — users see nodes appear and the tree grow. Install What It Does - Create canvases and place nodes on a spatial workspace - Generate images, text, video, and multi-step agent responses - Read results back — images as markdown, text inline, video as links - Recall past work across all canvases with semantic search - Batch independent generations in parallel for speed Quick Start Modes Mode Use for ------ --------- text Answers, writing, analysis image Visual generation video Video clips agent / neo Multi-step research, planning, complex deliverables Requirements - A Flowith account with an active session in the browser - Bun runtime Documentation Full command reference and usage patterns are in SKILL.md. License MIT","default_branch":null,"files":null,"tree":[],"storefront":"/r/flowith-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/flowith-ai/canvas-cowork/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}