Track daily expenses in structured markdown files organized by month. Use when the user wants to log spending, view expense summaries, analyze spending patterns, or manage personal finance tracking. Supports categories, tags, and monthly summaries.
Log and track daily expenses in markdown files organized by month.
python3 scripts/log_expense.py log <amount> <category> [--description "text"] [--tags "tag1,tag2"] [--date YYYY-MM-DD]
Examples:
# Simple expense
python3 scripts/log_expense.py log 45000 Coffee
# With description
python3 scripts/log_expense.py log 250000 Dining --description "Lunch with team"
# With tags
python3 scripts/log_expense.py log 500000 Shopping --tags "clothes,sale" --description "New shirt"
# Specify date (for backdating)
python3 scripts/log_expense.py log 1200000 Vehicle --description "Gas" --date 2026-02-15
# Current month
python3 scripts/log_expense.py summary
# Specific month
python3 scripts/log_expense.py summary 2026-02
# JSON output (for parsing)
python3 scripts/log_expense.py summary 2026-02 --json
Expenses are stored in expenses/ directory at workspace root:
expenses/
├── 2026-01.md
├── 2026-02.md
└── 2026-03.md
Each file contains a markdown table:
# Expenses - 2026-02
| Date | Category | Amount (VND) | Description | Tags |
|------|----------|-------------|-------------|------|
| 2026-02-17 | Coffee | 45,000 | | |
| 2026-02-17 | Dining | 250,000 | Lunch with team | |
| 2026-02-17 | Shopping | 500,000 | New shirt | clothes,sale |
See references/categories.md for common expense categories. Use existing categories or create custom ones as needed.
Common categories:
When the user mentions spending money:
# User: "Just paid 35k for coffee"
python3 scripts/log_expense.py log 35000 Coffee
# User: "Grabbed lunch for 120k at Phở 24"
python3 scripts/log_expense.py log 120000 Dining --description "Phở 24"
# User: "Filled up gas, 400k"
python3 scripts/log_expense.py log 400000 Vehicle --description "Gas"
# Get summary
python3 scripts/log_expense.py summary 2026-02
# Read the expense file to see details
cat expenses/2026-02.md
# Get JSON for analysis
python3 scripts/log_expense.py summary 2026-02 --json
# Compare multiple months
python3 scripts/log_expense.py summary 2026-01 --json > jan.json
python3 scripts/log_expense.py summary 2026-02 --json > feb.json
When tracking expenses, consider:
Commands:
log - Add an expense entrysummary - View monthly summaryArguments (log):
amount - Amount in VND (required)category - Category name (required)--description/-d - Optional description--tags/-t - Optional comma-separated tags--date - Optional date (YYYY-MM-DD, defaults to today)--workspace - Optional workspace path (defaults to ~/.openclaw/workspace)Arguments (summary):
year_month - Optional YYYY-MM (defaults to current month)--json - Output as JSON--workspace - Optional workspace pathOutput:
expenses/ directory