ActivityWatch Integration Guide

Purpose

Complete reference for working with ActivityWatch, its ecosystem of tools, watchers, client libraries, and integrations. Provides guidance for setup, configuration, custom watcher development, data analysis, and automation.

When to Use

Activate this skill when:

• Setting up or configuring ActivityWatch
• Creating custom watchers or integrations
• Querying ActivityWatch data via API
• Integrating with external tools (Grafana, InfluxDB, AI agents)
• Troubleshooting ActivityWatch components
• Working with aw-client libraries
• Setting up multi-device sync
• Analyzing time-tracking data

Table of Contents

• Current Installation
• Core Components
• Quick Start Guide
• Tool Reference
• Common Tasks
• Troubleshooting
• Resources

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Current Installation

Status: ✅ Installed and Running

Details:

• Location:

  /Applications/ActivityWatch.app

• Version: v0.13.2
• Server: http://localhost:5600
• Installation Method: Homebrew (

  brew install --cask activitywatch

  )

Active Components:

• aw-qt

  - System tray application (menu bar)

• aw-server

  - API server

• aw-watcher-afk

  - AFK detection

• aw-watcher-window

  - Window tracking

Data Location:

~/Library/Application Support/activitywatch/

Access:

• Web UI: http://localhost:5600
• API: http://localhost:5600/api/0/

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Core Components

1. aw-qt (Desktop Application)

The main desktop tray app that manages everything.

Key Features:

• Autostart integration
• Watcher toggling
• Real-time activity views
• Settings management

Access: Menu bar icon (look for ActivityWatch icon)

2. aw-server (API Server)

REST API server for data storage and querying.

Endpoints:

• /api/0/info

  - Server information

• /api/0/buckets

  - List data buckets

• /api/0/buckets/{id}/events

  - Get/create events

• /api/0/query

  - Execute AQL queries

See: API_REFERENCE.md for complete API documentation

3. aw-watcher Modules

Watchers are "agents" that track specific activities:

Built-in:

• aw-watcher-window

  - Active window/app tracking

• aw-watcher-afk

  - Keyboard/mouse activity (AFK detection)

Optional:

• aw-watcher-web

  - Browser tabs (install browser extension)

• aw-watcher-vscode

  - VS Code activity

• aw-watcher-vim

  - Vim/Neovim sessions

Creating Custom Watchers: See "Custom Watcher Development" section below

4. aw-client Libraries

Official SDKs for programmatic access:

Available:

• Python:

  pip install aw-client

• JavaScript:

  aw-client-js

• Go:

  aw-client-go

• Rust:

  aw-client-rust

Use Cases:

• Query and analyze data
• Create custom integrations
• Build automation scripts
• Export data to other formats

See: API_REFERENCE.md for Python client examples

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Quick Start Guide

Verify Installation

# Check if running
ps aux | grep activitywatch

# Test API
curl http://localhost:5600/api/0/info

# List buckets
curl http://localhost:5600/api/0/buckets

Access Web UI

1. Open http://localhost:5600 in browser
2. View today's activity on Activity page
3. Configure settings in Settings page

Enable Browser Extension

1. Visit https://activitywatch.net/downloads/
2. Install extension for your browser (Chrome, Firefox, Edge)
3. Extension will auto-connect to localhost:5600

Python Client Setup

# Install
pip install aw-client

# Test
python3 -c "from aw_client import ActivityWatchClient; print(ActivityWatchClient().get_buckets())"

---

Tool Reference

aw-sync (Multi-Device Sync)

Purpose: Sync data across multiple devices via shared folder

Installation:

git clone https://github.com/ActivityWatch/aw-sync.git
cd aw-sync
pip install .

Usage:

# Sync to Dropbox
aw-sync --folder ~/Dropbox/ActivityWatch

# Automated sync (add to cron)
0 * * * * aw-sync --folder ~/sync/aw

Cloud Options:

• Dropbox
• Google Drive (via rclone)
• Syncthing (recommended for privacy)

activitywatch-exporter (Analytics Integration)

Purpose: Export data to InfluxDB for Grafana dashboards

Installation:

pip install activitywatch-exporter

Usage:

activitywatch-exporter \
  --aw-url http://localhost:5600 \
  --influx-url http://localhost:8086 \
  --influx-db activitywatch

See: INTEGRATIONS.md for Grafana setup

ActivityWatch MCP Server (AI Integration)

Purpose: AI agent interface for LLMs (Claude, Cursor)

Installation:

git clone https://github.com/Auriora/activitywatch-mcp.git
cd activitywatch-mcp
npm install

Configuration for Claude Code:

{
  "mcpServers": {
    "activitywatch": {
      "command": "node",
      "args": ["/path/to/activitywatch-mcp/dist/index.js"],
      "env": {
        "AW_URL": "http://localhost:5600"
      }
    }
  }
}

Example Queries:

• "Summarize my coding hours this week"
• "What websites did I visit most yesterday?"
• "Show my most productive hours"

Codewatch (Developer Focus)

Purpose: IDE-specific tracking with Git integration

Features:

• Multi-editor support
• Git commit analysis
• Project-based tracking
• Language statistics

Installation: Download from GitHub releases

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Common Tasks

Query Data with Python

from aw_client import ActivityWatchClient
from datetime import datetime, timedelta

client = ActivityWatchClient()

# Get today's window events
today = datetime.now().replace(hour=0, minute=0, second=0)
bucket_id = f"aw-watcher-window_{client.client_hostname}"
events = client.get_events(bucket_id, start=today)

# Calculate time per app
by_app = {}
for e in events:
    app = e["data"].get("app", "Unknown")
    by_app[app] = by_app.get(app, 0) + e["duration"]

# Print results
for app, duration in sorted(by_app.items(), key=lambda x: x[1], reverse=True):
    print(f"{app}: {duration/3600:.1f}h")

See: API_REFERENCE.md for more examples

Create Custom Watcher

from aw_client import ActivityWatchClient
from datetime import datetime
import time

# Initialize
client = ActivityWatchClient("my-custom-watcher")
bucket_id = f"{client.client_name}_{client.client_hostname}"

# Create bucket
client.create_bucket(bucket_id, event_type="custom.activity")

# Send events
while True:
    event = {
        "timestamp": datetime.now(),
        "duration": 0,
        "data": {
            "label": "Custom activity",
            "value": get_custom_data()
        }
    }
    client.heartbeat(bucket_id, event, pulsetime=60)
    time.sleep(30)

Export Data to CSV

import pandas as pd
from aw_client import ActivityWatchClient

client = ActivityWatchClient()
bucket_id = f"aw-watcher-window_{client.client_hostname}"
events = client.get_events(bucket_id, limit=10000)

# Convert to DataFrame
df = pd.DataFrame([
    {
        "timestamp": e["timestamp"],
        "duration": e["duration"],
        "app": e["data"].get("app"),
        "title": e["data"].get("title")
    }
    for e in events
])

# Export
df.to_csv("activitywatch_export.csv", index=False)
print(f"✅ Exported {len(df)} events")

Backup Data

#!/bin/bash
# backup-activitywatch.sh

DATE=$(date +%Y%m%d)
BACKUP_DIR=~/backups/activitywatch
mkdir -p $BACKUP_DIR

# Stop server
pkill -f aw-server

# Backup
tar -czf $BACKUP_DIR/aw-backup-$DATE.tar.gz \
  ~/Library/Application\ Support/activitywatch/

# Restart
/Applications/ActivityWatch.app/Contents/MacOS/aw-server &

echo "✅ Backup created: aw-backup-$DATE.tar.gz"

Set Up Automation

Daily Summary (cron):

# Run at 6 PM daily
0 18 * * * /usr/bin/python3 /path/to/daily_summary.py

Weekly Report (cron):

# Run Sunday at 8 PM
0 20 * * 0 /usr/bin/python3 /path/to/weekly_report.py

See: INTEGRATIONS.md for Slack, email, and calendar integration examples

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Troubleshooting

Server Not Starting

# Check if port in use
lsof -i :5600

# Kill existing process
pkill -f aw-server

# Start manually with debug
/Applications/ActivityWatch.app/Contents/MacOS/aw-server --verbose

# Check logs
tail -f ~/Library/Application\ Support/activitywatch/aw-server/aw-server.log

Watchers Not Recording

# Check watcher status
curl http://localhost:5600/api/0/buckets

# Restart watchers
pkill -f aw-watcher
/Applications/ActivityWatch.app/Contents/MacOS/aw-watcher-afk &
/Applications/ActivityWatch.app/Contents/MacOS/aw-watcher-window &

Database Issues

# Location
cd ~/Library/Application\ Support/activitywatch/aw-server/

# Check integrity
sqlite3 peewee-sqlite.v2.db "PRAGMA integrity_check;"

# Vacuum (reduce size)
sqlite3 peewee-sqlite.v2.db "VACUUM;"

Permission Errors

# Fix permissions
chmod -R 755 ~/Library/Application\ Support/activitywatch/

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Configuration

Server Settings

Location:

~/.config/activitywatch/aw-server/config.toml

[server]
host = "127.0.0.1"  # Localhost only (recommended)
port = 5600         # Default port
cors_origins = "*"  # CORS settings

Watcher Settings

aw-watcher-afk:

# ~/.config/activitywatch/aw-watcher-afk/config.toml
[aw-watcher-afk]
timeout = 180      # AFK timeout (seconds)
poll_time = 5      # Check interval

aw-watcher-window:

# ~/.config/activitywatch/aw-watcher-window/config.toml
[aw-watcher-window]
poll_time = 1           # Update interval
exclude_title = false   # Privacy: hide window titles

Web UI Settings

Access via: http://localhost:5600/#/settings

Categories:

• Create rules to categorize activities
• Pattern matching on app, title, URL

Example:

{
  "name": "Programming",
  "rule": {
    "$type": "regex",
    "regex": "VSCode|Terminal|vim"
  }
}

---

Resources

Official Documentation

• Main Docs: https://docs.activitywatch.net/
• API Reference: https://docs.activitywatch.net/en/latest/api/
• Writing Watchers: https://docs.activitywatch.net/en/latest/examples/writing-watchers.html

Community

• Forum: https://forum.activitywatch.net/
• Discord: https://discord.gg/vDskV9q
• GitHub: https://github.com/ActivityWatch/activitywatch

Related Projects

• Browser Extension: https://github.com/ActivityWatch/aw-watcher-web
• VS Code Extension: Marketplace → "ActivityWatch"
• MCP Server: https://github.com/Auriora/activitywatch-mcp

Reference Files

• API_REFERENCE.md - Complete REST API and AQL documentation
• INTEGRATIONS.md - Integration examples (Slack, Grafana, Sheets, etc.)

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Installation Status: ✅ v0.13.2 via Homebrew Server: ✅ http://localhost:5600 Watchers: ✅ afk, window active