Skills
.Work. You
Rest

memory-qdrant

Community

Local semantic memory for your agent.

Software Engineering#knowledge retrieval#semantic search#vector database#memory#qdrant#local
Authorrockywuest
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides your AI agent with persistent, searchable, and private memory capabilities directly on your local machine, eliminating the need for cloud-based storage and enhancing data privacy.

Core Features & Use Cases

  • Semantic Search: Utilizes Qdrant vector database for intelligent recall of past conversations and information.
  • Fact Verification: Integrates a facts.jsonl file for keyword matching of verified facts, overriding fuzzy recall.
  • Knowledge Routing: Maps keywords to specific knowledge files, guiding the agent to relevant domain-specific information.
  • Use Case: An agent needs to recall specific technical details about a past project. This Skill can semantically search through previous interactions, find exact facts about the project's specifications, and even point to a dedicated knowledge file for in-depth information, all without sending data externally.

Quick Start

Configure the memory-qdrant plugin in your openclaw.json with the path to your facts.jsonl file and any desired knowledge map entries.

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: memory-qdrant
Download link: https://github.com/rockywuest/openclaw-memory-local/archive/main.zip#memory-qdrant

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.