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A local web dashboard that monitors all your GitHub Copilot CLI sessions in real-time

Project description

Copilot Session Dashboard

GitHub GitHub release

CI Release

Publish to PyPI PyPI version OpenAPI

A local web dashboard that monitors all your GitHub Copilot CLI and Claude Code sessions in real-time. Designed for power users running multiple AI coding sessions simultaneously.

[!TIP] The dashboard works out of the box by reading events.jsonl files from your Copilot session directories. For richer session history (summaries, checkpoints), enable the SESSION_STORE experimental feature: add "experimental": true to ~/.copilot/config.json and start a new Copilot session.

Dashboard Screenshot

Installation

Option 1: From PyPI

pip install ghcp-cli-dashboard

Option 2: From Source

# Clone the repo
git clone https://github.com/JeffSteinbok/ghcpCliDashboard.git
cd ghcpCliDashboard

# Install in editable mode
pip install -e .

Usage

# Start the dashboard
copilot-dashboard start

# Start in background
copilot-dashboard start --background

# Check status
copilot-dashboard status

# Stop
copilot-dashboard stop

# Upgrade to the latest version (restarts automatically if running)
copilot-dashboard upgrade

# Start automatically at login (Windows)
copilot-dashboard autostart
copilot-dashboard autostart --port 8080   # custom port
copilot-dashboard autostart-remove        # remove login startup

Open http://localhost:5111 in your browser.

Features

✨ New in v0.7

  • Claude Code support — automatically discovers Claude Code sessions from ~/.claude/projects/. Active Claude sessions appear alongside Copilot sessions with a ✦ Claude badge.
  • Cross-machine sync — see active sessions from all your machines in one dashboard, powered by OneDrive or any cloud-synced folder. See Cross-Machine Sync for details.
  • Settings menu — ☰ hamburger menu in the header with toggles for autostart-on-login and remote sync.
  • Upgrade commandcopilot-dashboard upgrade stops the server, upgrades via pip, and restarts automatically.

Session States

  • Working / Thinking (green) — session is actively running tools or reasoning
  • Waiting (yellow) — session needs your input (ask_user or ask_permission pending)
  • Idle (blue) — session is done and ready for your next task

Key Features

  • Desktop notifications — get alerts when sessions transition between states
  • Focus window — bring an active session's terminal to the foreground with one click
  • Restart commands — copy-pasteable copilot --resume <id> commands for every session
  • Waiting context — shows what a waiting session is asking (e.g. the ask_user question and choices)
  • Background tasks — shows count of running subagents per session
  • Session details — click any session to see checkpoints, recent tool output, references, and conversation history
  • Tile & List views — compact card grid or detailed expandable rows
  • 9 color palettes and light/dark mode

Cross-Machine Sync

See active sessions from all your machines in one dashboard — powered by OneDrive, Google Drive, or any cloud-synced folder. No Git commits needed.

How it works:

  • On each poll cycle, the dashboard exports your active sessions as JSON files to a shared cloud folder
  • Other machines read those files and display them in a "Remote Sessions" section under Active
  • Each machine only writes to its own subfolder — no sync conflicts

Auto-detection (priority order):

  1. OneDriveCommercial (preferred — prevents data leakage to personal accounts)
  2. OneDriveConsumer
  3. User Documents folder

Configuration (~/.copilot/dashboard-config.json):

{
  "sync": {
    "enabled": true,
    "folder": "D:\\MyCloudSync"
  }
}
  • Set "enabled": false to disable sync entirely
  • Set "folder" to override auto-detection with a specific path

What remote sessions show:

  • Live state indicators (working, waiting, idle)
  • Session summary, intent, branch, MCP servers, turn/checkpoint counts
  • Machine name badge (e.g. 🖥️ LAPTOP-HOME)

What remote sessions don't show:

  • No detail drill-down (checkpoints, turns, files)
  • No focus or kill actions (those are local-only)
  • No past/previous sessions from remote machines

Prerequisites

Package Purpose
fastapi Web framework with auto-generated OpenAPI docs
uvicorn ASGI server
pywin32 Window focus and process detection (Windows-only)

Both are installed automatically via pip install ghcp-cli-dashboard.

For more details on architecture, data sources, and API endpoints, see DEVELOPMENT.md.

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