Himalaya Email Manager

Manage emails using Himalaya IMAP CLI tool. Search, summarize, and delete emails from an IMAP account. Use natural language queries for email operations.

Configuration

Himalaya config: ~/.config/himalaya/config.toml Invocation: uv run scripts/<script>.py (handles Python environment and dependencies) Note: nix-shell commands are embedded in Python scripts

Get Daily Email Summary

Show emails from the past 24 hours in INBOX and Sent folders:

uv run scripts/email-summary.py

Options:

• -v, --verbose - Show himalaya commands being executed

Output includes:

• Rich table format with timestamps, senders, and subjects
• Categorized by folder (📥 INBOX, 📤 Sent)
• Unicode support (Finnish characters, emojis)

Search Emails

Find emails by sender, subject, date range, or folder:

uv run scripts/email-search.py [options]

Options:

• --folder FOLDER - Folder to search (default: INBOX)
• --from SENDER - Filter by sender email/name (case-insensitive)
• --subject TEXT - Filter by subject text (case-insensitive)
• --date-start DATE - Start date (YYYY-MM-DD)
• --date-end DATE - End date (YYYY-MM-DD)
• --limit N - Maximum results (default: 20, capped at 100)
• --no-limit - Bypass the 100-result limit cap
• -v, --verbose - Show himalaya commands being executed
• --help - Show help message

All filters apply with AND logic. Results include message IDs for deletion. Dates must be in YYYY-MM-DD format. FROM filter matches both sender name and email address.

Examples:

# Search by sender
uv run scripts/email-search.py --from "spotify.com"

# Search by subject
uv run scripts/email-search.py --subject "invoice"

# Search by date range
uv run scripts/email-search.py --date-start "2025-12-17" --date-end "2025-12-31"

# Search in Sent folder
uv run scripts/email-search.py --folder Sent --limit 10

# Multiple filters
uv run scripts/email-search.py --from "@newsletter.com" --subject "unsubscribe" --limit 5

# Search with no limit
uv run scripts/email-search.py --limit 200 --no-limit

Save Emails to File

Save email content to a file in various formats:

uv run scripts/email-save.py <message-id> [options]

Options:

• --folder FOLDER - Folder to search (default: INBOX)
• --output PATH - Output directory or file path (default: current directory)
• --format FORMAT - Output format: markdown, text, or json (default: markdown)
• --date-prefix - Add YYYY-MM-DD date prefix to filename (uses email date)
• --download-attachments - Download email attachments
• --attachment-dir PATH - Directory for attachments (default: himalaya downloads directory)
• --overwrite - Overwrite existing file without confirmation
• -v, --verbose - Show himalaya commands being executed
• --help - Show help message

Arguments:

• message-id - Message ID to save (obtained from search results)

Output formats:

• markdown: Rich format with headers and metadata
• text: Plain text with basic headers
• json: Raw JSON output from himalaya (envelope + body data)

Filename behavior:

• Default: {message-id}.{ext}
• With --date-prefix: {YYYY-MM-DD}-{subject-sanitized}.{ext}
• Subject characters: Spaces and emojis preserved, slashes converted to dashes

Examples:

# Save as markdown to current directory
uv run scripts/email-save.py 56873

# Save to specific directory
uv run scripts/email-save.py 56873 --output ~/saved-emails

# Save with date prefix
uv run scripts/email-save.py 56873 --date-prefix --output /tmp/emails

# Save as text format
uv run scripts/email-save.py 56873 --format text

# Save as JSON
uv run scripts/email-save.py 56873 --format json

# Save to specific file path
uv run scripts/email-save.py 56873 --output ~/important-email.md

# Overwrite existing file without prompt
uv run scripts/email-save.py 56873 --overwrite --output ~/email.md

# Save from Sent folder
uv run scripts/email-save.py --folder Sent 12345 --output ~/sent-emails

# Save with attachments
uv run scripts/email-save.py 56873 --download-attachments

# Save with attachments to custom directory
uv run scripts/email-save.py 56873 --download-attachments --attachment-dir ~/attachments

Delete Emails

Delete emails by message ID with safety preview:

uv run scripts/email-delete.py <message-id> [options]

Options:

• --folder FOLDER - Folder to delete from (default: INBOX)
• --execute - Actually perform deletion (default: dry-run mode)
• -v, --verbose - Show himalaya commands being executed
• --help - Show help message

Arguments:

• message-id - Message ID to delete (obtained from search results)

Safety: Always run in dry-run mode first to verify the correct message. In interactive mode, you'll be prompted for confirmation before deletion. When called by OpenCode agent, deletion proceeds immediately with --execute flag.

Examples:

# Preview deletion
uv run scripts/email-delete.py 56838

# Actually delete (interactive - will prompt for confirmation)
uv run scripts/email-delete.py 56838 --execute

# Delete from specific folder
uv run scripts/email-delete.py --folder Sent 12345 --execute

Translate Natural Language Queries

Interpret natural language queries as appropriate script calls:

Summary queries:

• "Show me today's emails" → email-summary.py
• "What emails did I get today?" → email-summary.py
• "Summary of recent emails" → email-summary.py

Search queries:

• "Find emails from Spotify" → email-search.py --from "spotify.com"
• "Show me emails about invoices" → email-search.py --subject "invoice"
• "Search for Atomikettu emails from the past two weeks" → email-search.py --from "atomikettu" --date-start "2025-12-17" --date-end "2025-12-31"
• "What did I send yesterday?" → email-search.py --folder Sent --date-start "2025-12-30" --date-end "2025-12-30"
• "Search INBOX for emails from john@example.com" → email-search.py --from "john@example.com"
• "Find emails with 'newsletter' in subject" → email-search.py --subject "newsletter"

Save queries:

• "Save email ID 56873" → email-save.py 56873
• "Save as JSON" → email-save.py 56873 --format json
• "Save to ~/emails folder with date prefix" → email-save.py 56873 --output ~/emails --date-prefix

Delete queries:

• "Delete email ID 56838" → email-delete.py 56838 (show preview, ask for confirmation)
• "Remove the email from Spotify" → First search to find ID, then delete with confirmation

Implementation Notes

When calling scripts:

1. Always invoke with uv run scripts/<script-name>.py (handles environment and deps)
2. All nix-shell commands are embedded in Python scripts - don't add them manually
3. For search by sender or subject, use --from and --subject flags
4. Date range uses --date-start and --date-end (YYYY-MM-DD format)
5. Case-insensitive search is automatic - don't worry about capitalization
6. FROM filter searches both sender name and email address
7. Always run delete operations in dry-run mode first without --execute flag
8. Ask user for confirmation before running delete with --execute flag (interactive mode only)
9. Use -v/--verbose to see himalaya commands being executed (for debugging)

Avoid these pitfalls:

• Don't use --since or --until (not implemented - use --date-start/--date-end)
• Don't try to search body content (only headers are available in JSON output)
• Don't forget to add --execute flag when actually deleting (dry-run by default)
• Don't use incorrect date format (must be YYYY-MM-DD)

Follow this workflow for search and delete:

1. Use email-search.py to find messages
2. Review results with user
3. Use email-delete.py to preview deletion
4. Get user confirmation
5. Use email-delete.py --execute to actually delete

Technical context:

• Backend: Himalaya v1.1.0 (Rust-based IMAP CLI tool) via Python 3.13 with typer and rich
• Installation: Nix (nix-shell -p himalaya)
• Output format: JSON → Rich tables with Python json.loads()
• Authentication: Keyring-based (managed by Himalaya)
• Protocol: IMAP over TLS (direct server communication)
• Date format: YYYY-MM-DD (ISO 8601)
• Case sensitivity: All search filters are case-insensitive using Python .lower()
• Agent detection: Uses sys.stdin.isatty() to determine if running interactively

Using the Scripts

All scripts use PEP 723 inline metadata and require Python 3.13+. Invoke with uv run to automatically handle Python environment and dependencies:

uv run scripts/<script-name>.py [options]

Dependencies (auto-managed by uv):

• typer - for CLI argument parsing
• rich - for beautiful terminal output