Control Room for Parallel Claude Code Sessions: Preventing Collisions and Enhancing Visibility with Hooks and CLAUDE.md

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 0.95 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Shipping, CLAUDE.md, Hooks, Skills, Multi-Agent
Original source: r/ClaudeAI post/comment

What problem this solves

Managing multiple parallel Claude Code sessions on a single codebase to prevent file overwrites, improve session visibility, and enable knowledge transfer between sessions.

Summary

This workflow describes an open-source 'control room' system designed to manage up to six parallel Claude Code sessions on the same codebase. It addresses issues of session collision and lack of visibility by providing live terminals in a browser grid (tmux + ttyd), state monitoring via Claude Code hooks, a shared hierarchical advisory lock board (slog) enforced by CLAUDE.md, and a mechanism for skills to persist across sessions. The solution is built with bash and Python standard library, and can be easily tested via GitHub Codespaces.

Why it is useful

This workflow offers a highly valuable, concrete, and open-source solution to a significant challenge in advanced LLM usage: coordinating multiple AI agents working on a shared codebase. It demonstrates practical applications of Claude Code hooks and CLAUDE.md for agent instruction, providing a robust framework for preventing data corruption and improving operational oversight. The ease of trying it via GitHub Codespaces makes it exceptionally accessible and transferable, empowering users to adopt sophisticated multi-agent development practices.

Workflow

1. Set up a browser grid using tmux and ttyd to provide persistent, accessible terminal sessions for each Claude Code instance.
2. Integrate Claude Code hooks to report the real-time state of each session (working, idle, waiting for permission) to the control room interface.
3. Implement a shared, hierarchical advisory lock board ('slog') using a Markdown file and flock to manage resource access (e.g., specific API sections or files).
4. Instruct Claude agents via their CLAUDE.md files to consult and respect the 'slog' before modifying shared resources.
5. Establish a small structure and a skill-sync step to ensure that skills learned by one Claude Code session are available to others and persist across sessions.
6. Optionally, deploy the entire setup using GitHub Codespaces for a quick, installation-free trial and development environment.

Tools / artifacts

• tmux
• ttyd
• Claude Code hooks
• slog (custom Python script/Markdown file)
• flock
• CLAUDE.md
• GitHub repository (Ramillax/claude-code-control-room)
• GitHub Codespaces
• Bash
• Python standard library

Validation signals

• Developed iteratively to solve real-world problems encountered by the author ('grew out of my own setup, one problem at a time').
• Specific design choices are justified by past failures (e.g., using hooks instead of screen-scraping due to UI changes).
• The system itself was used to write most of its components ('Most of it was written with Claude Code, running inside this same control room').
• Includes a 'Try it without installing anything' option via Codespaces, enabling easy validation by others.
• Screenshots from a staged demo using 'real Claude Code screens and real slog commands' are mentioned.

Cautions

• When self-hosting, the system ships with no authentication by design; users must implement their own login/security measures as explained in the README.

Limitations

• The post is very recent, so long-term community validation and refinement are still pending.
• While Codespaces simplifies setup, users might still need some familiarity with command-line tools (tmux, ttyd) and GitHub concepts for deeper customization or troubleshooting.

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