Audit memory prefixes and prune stale or obsolete entries.
npx skills add https://github.com/Bumblebiber/hmem --skill hmem-self-curate
Please help me install this Agent Skill. Skill: hmem-self-curate Source: https://github.com/Bumblebiber/hmem/tree/main/skills/hmem-self-curate Command: npx skills add https://github.com/Bumblebiber/hmem --skill hmem-self-curate
Keeps long-term memory clean, relevant, and navigable by auditing and curating entries, reducing noise and improving retrieval efficiency across sessions.
Run memory_health to identify issues, then review a chosen memory prefix to begin systematic curation.
High-intent search queries and answers about installing and using this skill.
To clean stale long-term memory, you can run periodic self-curation workflows that audit memory prefixes, identify orphaned entries, and prune obsolete chains to reduce noise and improve retrieval reliability across sessions.
Identifying broken links and orphaned entries requires running a memory health check, which audits stored memory nodes to detect stale favorites, broken obsolete chains, and invalid references for systematic curation.
Bulk operations to merge or relocate duplicate memory nodes use update_memory, append_memory, and move_memory commands to consolidate entries while preserving historical references and maintaining full traceability.
Yes, you can audit specific memory prefixes individually, enabling a guided workflow that reviews entries prefix by prefix to apply focused curation decisions like obsoleting or merging duplicates without processing the entire database.
When obsoleting or merging memory entries during curation, historical references and traceability are preserved, ensuring that relocated or consolidated memory nodes maintain their audit trail and do not lose past context.
Memory curation should be run periodically as a maintenance task to prevent long-term memory from accumulating noise, ensuring stored entries remain clean, relevant, and navigable for efficient future retrieval.
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