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Compose terminal workspaces, control panes, and orchestrate hierarchical AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hyperpanes-mcp" yet — see the docs or source repo.
Create a hyperpanes workspace for a Node.js service: run the dev server in the left pane, test watcher in the top-right pane, and git status in the bottom-right pane, then launch the full layout.
A launched terminal layout description with pane positions, commands, and runtime status.
Inspect output from all current hyperpanes panes and identify failed build tasks; if test errors are found, switch to the relevant pane, rerun the test command, and keep streaming the latest output.
A report of failed tasks, the commands executed afterward, and continuously updated terminal output summaries.
Use hyperpanes to orchestrate a multi-agent workflow: one agent implements a feature, one runs tests and analyzes failures, and another summarizes fix recommendations; assign them to separate panes and consolidate the results.
A multi-pane agent plan with execution progress and a final consolidated implementation and fix summary.
Manage concurrent terminals for async commands, batch operations, and live monitoring.
Enable secure remote shell execution for AI assistants through a desktop terminal.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Connect AI agents to control local JupyterLab for coding and analysis.
Let AI use a local terminal for persistent command and system operations.
Let AI control local or remote terminals and interactive TUI apps.