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-memorySearches 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).
Searches and surfaces relevant memories from past sessions to inform current work with decisions, patterns, and learnings. Supports hybrid, vector, and text search modes with namespace filtering.