qdrant-memory
Use this skill for semantic search, long-term memory storage, and RAG (Retrieval Augmented Generation). Enables vector-based knowledge retrieval and persistent memory across sessions.
npx skills add majiayu000/claude-skill-registry --skill qdrant-memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Qdrant Vector Memory This skill enables semantic search and long-term memory using Qdrant vector database. ## Problem Solved Traditional keyword search: - Exact match only - Misses semantically similar content - No context understanding With Qdrant Vector Search: - Semantic similarity matching - Finds conceptually related information - Understands context and meaning - Persistent memory across sessions ## When to Use - Storing knowledge for later retrieval - Semantic code search across codebase - Building RAG (Retrieval Augmented Generation) systems - Long-term memory for AI agents - Finding similar documents/code - Knowledge base management ## Available Tools ### 1. qdrant-store Stores text with vector embeddings for later retrieval. ``` Input: { "text": "React hooks are functions...", "metadata": { "topic": "react" } } Output: Stored with vector embedding ``` ### 2. qdrant-find Finds semantically similar content. ``` Input: { "query": "how to manage state in React" } Output: Related documents ranked by similarity ``` ### 3. qdrant-delete Removes stored memories by ID or filter. ``` Input: { "filter": { "topic": "outdated" } } Output: Deleted matching entries ``` ### 4. qdrant-l
- Problem Solved
- When to Use
- Available Tools
- 1. qdrant-store
- 2. qdrant-find
- 3. qdrant-delete
- 4. qdrant-list-collections
- Example Usage
- Store Knowledge
- Semantic Search
- RAG for Code Generation
- Architecture
- Required Environment Variables
- Setup
Start Qdrant docker run -p 6333:6333 -v $(pwd)/qdrant_data:/qdrant/storage qdrant/qdrant Verify curl http://localhost:6333/health
What does the qdrant-memory skill do?
Use this skill for semantic search, long-term memory storage, and RAG (Retrieval Augmented Generation). Enables vector-based knowledge retrieval and persistent memory across sessions.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill qdrant-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.