Author of collabmem here! Let me add some detail on how the memory stays manageable as it grows.

Two mechanisms keep it sustainable, neither deletes anything, and both are discussed with you before being applied:

- Upward consolidation — when the episodic index grows large, mature stable knowledge from old episodes is extracted into the world model. Consolidated index entries move to a searchable archive; the original notes stay put. The active index keeps focused on recent work while the world model absorbs what's been learned.

- Downward compaction — when a world model file approaches its size cap, it's rewritten to stay compact. Removed knowledge is preserved in an episodic note so it remains iscoverable.

Caveat: these two mechanisms are designed but not yet tested; this is one of my high-priority todos. Feedback especially welcome here.

Happy to answer questions — looking forward to feedback!