aim-jira-sync

Apps & Automation

Synchronize Jira issues and comments to AI Memory

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Jira Sync - Synchronize Jira Content

Synchronize Jira issues and comments from configured projects into the AI Memory jira-data collection.

Usage

# Incremental sync (default) - only fetch updated issues
/aim-jira-sync

# Full sync - fetch all issues and comments
/aim-jira-sync --full

# Sync specific project
/aim-jira-sync --project BMAD

# Check sync status (last sync time, items synced, errors)
/aim-jira-sync --status

# Full sync for specific project
/aim-jira-sync --full --project BMAD

Options

--incremental - Sync only updated issues since last sync (default)
--full - Full sync: fetch all issues and comments from scratch
--project <key> - Sync specific project (default: all configured projects)
--status - Display sync status (last sync time, items synced, errors)

Sync Modes

Incremental Sync (Default)

Fetches issues updated since last sync timestamp
Faster and more efficient for regular updates
Uses JQL: project = PROJ AND updated >= "2026-02-01 00:00"
Updates existing documents in-place (by jira_comment_id for comments)

Full Sync

Fetches all issues and comments from scratch
Use for initial setup or after schema changes
Warning: Can be slow for large projects (hundreds/thousands of issues)
Overwrites existing documents

Configuration

Sync requires Jira credentials in .env:

JIRA_INSTANCE_URL=https://company.atlassian.net
JIRA_EMAIL=user@company.com
JIRA_API_TOKEN=your_api_token_here
JIRA_PROJECTS=BMAD,PROJ,DEV
JIRA_SYNC_ENABLED=true
JIRA_SYNC_DELAY_MS=100

Examples

# Daily incremental sync (recommended)
/aim-jira-sync

# Initial full sync for new project
/aim-jira-sync --full --project NEWPROJ

# Check last sync status
/aim-jira-sync --status

# Full refresh of all projects (use sparingly)
/aim-jira-sync --full

Implementation Reference

This skill invokes scripts/jira_sync.py:

cd /path/to/ai-memory
python3 scripts/jira_sync.py --incremental
python3 scripts/jira_sync.py --full --project BMAD
python3 scripts/jira_sync.py --status

Technical Details

Rate Limiting: Configurable delay between API requests (default 100ms)
Pagination: Token-based for issues, offset-based for comments
Deduplication: SHA256 content hashing prevents duplicate storage
Document Format: ADF (Atlassian Document Format) → plain text
Collection: jira-data (separate from code-patterns/conventions/discussions)
Tenant Isolation: group_id = Jira instance hostname

Notes

Requires Jira Cloud API token (create at id.atlassian.com)
Sync logs written to ~/.ai-memory/logs/activity.log
First sync can take several minutes for large projects
Incremental sync timestamp stored in jira_sync_state.json
Comments are linked to parent issues via jira_issue_key