Aim Github Sync

GitHub Sync - Synchronize GitHub Content

Synchronize GitHub issues, pull requests, commits, and CI results from the configured repository into the AI Memory discussions collection.

Activation

# Incremental sync (default) - only fetch updated items
/aim-github-sync

# Full sync - fetch all items from scratch
/aim-github-sync --full

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

Options

• --incremental - Sync only updated items since last sync (default)
• --full - Full sync: fetch all items from scratch
• --status - Display sync status (last sync time, items synced per type)

Sync Modes

Incremental Sync (Default)

• Fetches items updated since last sync timestamp per document type
• Faster and more efficient for regular updates
• Priority order: PRs -> Issues -> Commits -> CI Results
• Updates existing documents via dedup/versioning protocol (SPEC-005)

Full Sync

• Fetches all items from scratch
• Use for initial setup or after schema changes
• Warning: Can be slow for large repositories

Configuration

Sync requires GitHub credentials in .env:

GITHUB_TOKEN=ghp_your_token_here
GITHUB_REPO=owner/repo-name
GITHUB_BRANCH=main
GITHUB_SYNC_ENABLED=true

Implementation Reference

This skill invokes GitHubSyncEngine.sync() from src/memory/connectors/github/sync.py:

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/github_sync_runner.py" "$@"

Status Mode

Uses the real CLI status path, which resolves canonical and legacy state-file locations for the configured repo:

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/github_sync.py" --status

Guard

If GITHUB_SYNC_ENABLED is not true, the skill will display:

Error: GitHub sync is not enabled. Set GITHUB_SYNC_ENABLED=true and configure GITHUB_TOKEN and GITHUB_REPO.

Technical Details

• Rate Limiting: Uses GitHubClient with configurable request delays
• Pagination: Automatic pagination for all GitHub API endpoints
• Deduplication: SHA256 content hashing prevents duplicate storage (SPEC-005)
• Versioning: Changed content creates new version, marks old as superseded
• Collection: discussions (shared with conversation data, filtered by source="github")
• Tenant Isolation: group_id uses normalized lowercase owner/repo
• Sync Priority: PRs (+ reviews + diffs) -> Issues (+ comments) -> Commits -> CI Results

Notes

• Requires GitHub personal access token (classic or fine-grained)
• Sync logs written to ~/.ai-memory/logs/activity.log
• First full sync can take several minutes for large repositories
• Incremental sync timestamps stored per repo in ~/.ai-memory/github-state/github_sync_state_<owner__repo>.json
• Reviews and diffs are synced as part of PR sync
• Issue comments are synced as part of issue sync

Legacy ID Audit and Migration

If GitHub data exists but status or project scoping looks inconsistent, audit for legacy mixed IDs first:

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" audit_group_ids.py

If the report shows legacy aliases, review the plan and then apply the migration:

"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" migrate_group_ids.py
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" migrate_group_ids.py --apply

When the install still has a flattened legacy AI_MEMORY_PROJECT_ID, the apply step also updates that env entry to the canonical slash-form repo ID.