private alpha
Plan, see, deploy, ship - one surface.
OpenClaw keeps every project in sync between your board and your agents, so planning and building are never out of step.
Any agent, any project, from anywhere.
Capabilities
Demo
OpenClaw is embedded directly into the Kanban board, roadmap item creation, and project workspaces. Ask it to create items, write specs, reorganise priorities, or kick off agent sessions - all from wherever you already are. It's not a sidebar you switch to; it's woven into every interaction.
Clawchestra injects its own capability map into OpenClaw at runtime, so your AI instance understands the app's features, views, and workflows. OpenClaw can guide you through Clawchestra because it knows how Clawchestra works - it becomes your personal Claw guide from the first conversation.
All project state - roadmap items, specs, plans, priorities - lives as plain JSON files that OpenClaw syncs across every device. Edit on your laptop, see it on your desktop. An agent running on a VPS pushes changes that appear on your board instantly. No database, no vendor lock-in - just files, synced everywhere.
Install
All builds available on GitHub Releases
FAQ
A desktop project command centre combining a Kanban board, OpenClaw agent, and CLI coding agent integrations. Built for developers who want to plan and ship without context-switching.
Runs on your machine and syncs with your personal OpenClaw. Your projects are local files. The AI reads your specs and plans and knows your actual project states.
Connects to your OpenClaw. Chats are scoped to projects and roadmap items, giving your OpenClaw full context - specs, roadmap, and current status. Enhanced with embedded agentic CLI tools like Claude Code, Codex, Gemini CLI, and more.
Yes - bring your OpenClaw with you and connect to whichever models you see fit. Embedded terminals give you access to your preferred CLI tools.
Only AI inference calls leave the machine. Project files, roadmap items, specs, and plans all stay between you and your OpenClaw.
macOS (Apple Silicon + Intel), Windows, and Linux. Download installers from GitHub Releases or use the platform commands in the Install section above.