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CodeTracked since May 20, 2026

obsidian-second-brain switches to per-day operation logs

This burst centers on a logging architecture change: operation history is moved from a single growing `log.md` into daily files under `Logs/YYYY-MM-DD.md`, with setup and migration support so existing vaults can adopt the new structure. The change also updates log-aware commands to work with the new layout and keep compatibility with legacy logs.

per-day operation logsLogs/YYYY-MM-DD.mdlog.mdscripts/migrate_log.py

What Happened

  • This burst centers on a logging architecture change: operation history is moved from a single growing `log.md` into daily files under `Logs/YYYY-MM-DD.md`, with setup and migration support so existing vaults can adopt the new structure. The change also updates log-aware commands to work with the new layout and keep compatibility with legacy logs.
  • This burst centers on a logging architecture change: operation history is moved from a single growing `log.md` into daily files under `Logs/YYYY-MM-DD.md`, with setup and migration support so existing vaults can adopt the new structure. The change also updates log-aware commands to work with the new layout and keep compatibility with legacy logs.
  • 1 evidence item attached for review.

What is Different

Before

Scattered source updates, isolated context, and manual follow-up across multiple feeds.

Now

Introduced a daily log layout for vault operations and implemented bootstrap/migration tooling so Vaults write to and query against `Logs/YYYY-MM-DD.md` instead of a single monolithic file, reducing read/query overhead and preserving legacy compatibility paths.

Why Track This

Why It Matters

Vault users can process and inspect operation history faster as activity is no longer buried in an ever-growing single log file, which should make recurring stats/reporting and maintenance commands cheaper to run as vaults scale; monitor migration edge cases in nonstandard legacy logs and verify mixed modern/legacy date headers so no historical entries are omitted after rollout.

Impact

Vault users can process and inspect operation history faster as activity is no longer buried in an ever-growing single log file, which should make recurring stats/reporting and maintenance commands cheaper to run as vaults scale; monitor migration edge cases in nonstandard legacy logs and verify mixed modern/legacy date headers so no historical entries are omitted after rollout.

What To Watch Next

  • Watch whether per-day operation logs becomes a repeated pattern.
  • Track follow-up changes around AI Workflow Automation.
  • Compare future signals against this evidence trail.
  • Re-check risk flags: legacy_log_header_format_edge_cases, migration_skipping_or_duplication_risk.
Open Topic TimelineOpen Technical EventOpen Original Sourcelegacy_log_header_format_edge_cases / migration_skipping_or_duplication_risk / command_layout_detection_regression

Supporting Evidence