By ij5a
Archive every Claude Code session into a local, searchable SQLite database with full-text search (FTS5), then extract and persist durable facts (user preferences, feedback, project references) across sessions. Before clearing or compacting a conversation, facts from the current session are flushed to memory. Lifecycle hooks run shell scripts for session management or cleanup.
Checkpoint the ended Claude Code sessions waiting in subrosa's queue. Reads the pending-checkpoint queue and, for each queued past session, extracts durable facts into that project's memory (leaf files + facts database + regenerated MEMORY.md), then clears it from the queue. Run it at session start when there's a backlog; it's also fine to invoke by hand.
Flush durable facts from the current conversation into subrosa's memory before /clear or /compact. Scans the session for user, feedback, project, and reference items; writes or updates leaf memory files and the facts database, then regenerates the byte-budgeted MEMORY.md; soft-archives stale entries; reports saved, updated, skipped, archived, and entries flagged for review.
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npx claudepluginhub ij5a/subrosa --plugin subrosaComplete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
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Memory compression system for Claude Code - persist context across sessions