Claude Command Center (CCC)
Claude Command Center (CCC) is an open-source local dashboard designed to spawn, monitor, and resume parallel coding sessions across multiple AI-assisted development tools. It provides a unified interface for managing concurrent interactions with Claude Code, Codex, Cursor, Antigravity, and Kilo Code, enabling developers to handle several coding tasks at once without losing context. The dashboard runs locally, keeping all session data and interactions on the user's machine for privacy and control. CCC streamlines workflows for heavy AI users by allowing them to start, pause, and resume sessions across different tools from a single web-based UI. Users can track the progress of each session, view logs, and switch between tasks seamlessly, reducing the overhead of juggling multiple terminal windows or IDE instances. The tool is particularly useful for comparing outputs from different AI models or managing long-running, multi-step coding operations. Built to be lightweight and extensible, CCC operates as a self-contained service that communicates with each AI tool's respective API or CLI. It supports session persistence, meaning developers can safely shut down and later restart without losing prior context. The project is community-driven and welcomes contributions to add support for additional AI coding assistants or features.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Managing multiple AI coding assistants simultaneously is cumbersome, often requiring separate terminals or IDE windows with no centralized oversight. CCC solves this by providing a single local dashboard to spawn, monitor, and resume parallel sessions across popular tools like Claude Code and Codex, enabling seamless multitasking and persistent session management.
Use cases
- Running parallel code generation tasks across different AI models to compare outputs
- Managing long-running AI coding sessions that can be paused and resumed later
- Monitoring multiple AI-assisted debugging or refactoring operations in real time
- Coordinating complex, multi-step development workflows split across several AI tools
- Keeping a persistent history of AI interactions for later review without re-executing prompts
Audience
- Developers
- ML Engineers
- Data Scientists
- Researchers
Pros
- Free and open-source under permissive license
- Runs entirely locally, ensuring data privacy
- Supports popular AI coding tools out of the box
- Enables true parallel work with multiple AI assistants
- Session persistence allows pausing and resuming tasks
Cons
- Requires manual local setup and configuration
- Limited to the specific AI tools it integrates with
- Early-stage project with potentially sparse documentation
- No cloud-based access or collaboration features
- Relies on the user having accounts/keys for each supported AI service
Official website: https://github.com/amirfish1/claude-command-center
Canonical LambdaBase page: https://www.lambdabase.com/tools/claude-command-center-ccc