DMO Geek
Back to Use Cases
Knowledge ManagementAdded January 8, 202660+ days logged

Daily Session Logging

Automatically log all AI work sessions with structured notes, decisions, and blockers.

Overview

Every agent session writes a timestamped log entry to memory/YYYY-MM-DD.md with work completed, decisions made, and blockers encountered. These daily logs form a searchable history of all agent activity.

How It Works

At the end of each session, the agent appends a structured note to the daily markdown file including session metadata (agent, duration, model), work summary, key decisions, and any failures or blockers. The format follows a consistent template for easy parsing and search.

Tools Used

OpenClaw memoryObsidianMarkdown

Outcome

Built 60+ days of continuous session logs with zero missed entries. The logs enable new agents to quickly understand recent context and avoid re-litigating past decisions.