A local-first visual workspace for Codex. Capture context from the web, organize it on an infinite canvas, and let local agents act with visible, traceable results.
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AI work becomes hard to follow when source material, prompts, progress, and results live in separate windows. Shizuo keeps them together:
- Capture selected text, pages, images, links, and local files with their sources.
- Organize cards and relationships on an infinite canvas with search and version history.
- Act on selected context with a local Codex CLI and see live status beside the source.
- Keep answers, images, knowledge cards, and reusable workflows where the work happened.
Board data stays in your browser by default. Content is sent to your local AI CLI only when you explicitly run a task.
- Download and unzip the latest release.
- Open
chrome://extensionsoredge://extensionsand enable Developer mode. - Choose Load unpacked, select the extracted folder, and pin Shizuo.
You can now capture and organize content without Codex.
Open a new tab, paste text, a link, or an image, then choose Start organizing. Shizuo places it on a board and shows the next action.
Install and sign in to the Codex CLI, then run this once from the extracted Shizuo folder:
./install.sh --coreReload Shizuo in chrome://extensions. The installer detects the unpacked extension automatically, registers the local Native Host and MCP, and verifies the bridge. See local Codex setup if detection fails.
| Goal | Start here |
|---|---|
| Save a page or selection | Extension button or the selection menu |
| Open the canvas | A new tab or Open Shizuo |
| Ask Codex to work on context | Select cards, then choose Send to AI |
| Ask from the current page | Select text and choose Ask Codex |
| Find previous work | Search boards, cards, and sources from Home |
There is no build step. Load the repository as an unpacked extension, edit the files, and reload it from chrome://extensions.
npm testRuntime code lives under app/; the constrained local bridge lives under native-host/. See architecture, capabilities, and contributing.
MIT © Shizuo Contributors