qdrant-memory

Community

Vector search and long-term memory

Authortaiyousan15
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the limitations of traditional keyword search by enabling semantic understanding and persistent memory storage for AI agents.

Core Features & Use Cases

  • Semantic Search: Find information based on meaning, not just keywords.
  • Long-Term Memory: Store and retrieve knowledge across different sessions.
  • RAG Systems: Build Retrieval Augmented Generation pipelines for enhanced AI responses.
  • Use Case: Store important project details, code patterns, or research findings, and later retrieve them using natural language queries.

Quick Start

Use the qdrant-store tool to store the provided text with a topic of 'react patterns'.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: qdrant-memory
Download link: https://github.com/taiyousan15/taisun_agent/archive/main.zip#qdrant-memory

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.