From qdrant-memory
Long-term semantic memory using Qdrant vector database. Store and search information across conversations using vector similarity.
How this skill is triggered — by the user, by Claude, or both
Slash command
/qdrant-memory:memoryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- User asks to remember something for later
Use memory_store to save information with optional metadata:
Use memory_search for semantic similarity search:
limit for more or fewer{ "category": "preference" })memory_store — Save content with optional metadata to long-term memorymemory_search — Search memories using semantic similarity (returns ranked results with scores)npx claudepluginhub joshuacastanedaah/sean-mcp-servers --plugin qdrant-memoryManages total-recall memory system: search, store, forget memories, inspect tiers, run eval, and configure. Automatically activates on memory-related queries.
Searches and retrieves memories from Cortex persistent memory using WRRF retrieval. Use for past decisions, patterns, bugs, or architecture context.
Cross-host durable memory for AI agents using the ling-mem CLI. Maintains a three-tier model of who the user is across sessions and hosts (Claude Code, Codex, OpenClaw).