Experience a focused control center with CC-Panes, developed by wuxiran, for managing multiple AI coding assistants. The app consolidates Claude Code and other AI CLI sessions into a customizable split-pane workspace, hosting terminals, launch profiles, project files and session histories. It bundles a Monaco-based editor, Git status and adapter support for Claude, Gemini and Codex. Targeted at developers, AI researchers and power users who need to keep context across concurrent agent workflows.

How the app consolidates parallel AI CLI workflows

The app centralizes multi-instance CLI sessions by placing terminals, project files and launch configurations inside a single workspace. In practice, users can arrange a multi-instance split-pane terminal layout, open the integrated Monaco editor next to a terminal, and access session resume history. Use cases include running several agent sessions against one codebase, comparing agent outputs side-by-side, and keeping launch profiles organized for repeated experiments.

How it interacts with Windows resources and dependencies

Built with Tauri 2 and Rust for a lightweight desktop footprint, the app targets Windows x64 while also supporting other desktop platforms. The UI requires WebView2 on Windows for rendering, so deployment depends on that runtime. In addition, the Tauri/Rust architecture keeps the binary compact compared with full browser-based wrappers, which helps when running multiple panes simultaneously on a development machine.

Is it safe to manage code and agent outputs inside the workspace?

Safety hinges on repository discipline and local history features; the tool integrates Git status and keeps local file history with diff views, and it exposes session resume for previous AI interactions. For projects where multiple agents edit files concurrently, users should commit or branch changes before applying agent suggestions. The project is open source under GPL-3.0, so the codebase is auditable by teams that require transparency.

Do you need technical knowledge to operate the app correctly?

The app presumes familiarity with CLI workflows and developer practices. It includes adapters for Claude, Gemini, Kimi, GLM and other provider CLIs, and an embedded code editor supporting 60+ languages. Casual users unfamiliar with terminal sessions or provider adapters likely face a learning curve, while developers and AI researchers can use workspace and launch-profile features to coordinate multi-agent experiments effectively.

A practical control center for CLI‑savvy developers, with workflow discipline required

The app suits developers and research teams that treat agent interactions as part of the code lifecycle and are comfortable with command-line tools. Expect a learning curve and adopt repository practices before merging agent outputs; a practical tip is to use separate branches per agent and commit frequently. The app rewards disciplined workflows by making agent state and session history manageable for repeatable experiments.