What problem does it solve? Agent sessions accumulate learned conventions that duplicate, contradict, and grow unbounded over time, wasting context and confusing agents. This Skill periodically consolidates the conventions.jsonl memory file into canonical, deduplicated entries between sessions. ## Core Features & Use Cases - Deduplication and Merging: Detects exact matches, same-topic entries, and contradictions, then merges them into single canonical entries with superseded references. - Stale Entry Lifecycle: Flags conventions older than 90 days as stale, excludes them from agent reads, and auto-removes entries older than 120 days. - Consolidation Reports: Generates structured reports showing entries before/after, merges, supersessions, and memory health status. - Use Case: After several coding workflows, your conventions file has 85 entries with five different phrasings of the same naming rule. Run AutoDream to collapse them into 42 canonical entries and back up the original file. ## Quick Start Run the auto-dream consolidation on my .opencode/conventions.jsonl file and generate a report of merged, superseded, and stale entries.