memory-qdrant

Name: memory-qdrant
Availability: InStock
Author: zuiho

Store, index, and recall contextual memories locally with Qdrant and Transformers.js.

9|3|Updated Feb 16, 2026

Search Tags:#embeddings #memory #qdrant #semantic-search #transformers #local-ai

Ready to run

npx skills add https://github.com/zuiho-kai/openclaw-memory-qdrant --skill memory-qdrant-zuiho-kai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-qdrant
Source: https://github.com/zuiho-kai/openclaw-memory-qdrant/tree/main
Command: npx skills add https://github.com/zuiho-kai/openclaw-memory-qdrant --skill memory-qdrant-zuiho-kai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenClaw agents often lose contextual continuity across conversations. This skill provides a local semantic memory layer powered by Qdrant and Transformers.js to store, index, and recall relevant memories without relying on external APIs.

Core Features & Use Cases

Local semantic memory with on-device embeddings and optional disk persistence
In-memory mode for zero-configuration use or persistent Qdrant storage for long-term recall
Context-aware recall to surface relevant memories before or during conversations
Privacy-conscious memory handling with configurable PII capture controls

Quick Start

Remember context locally with fast memory recall

Frequently Asked Questions about memory-qdrant

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add persistent local memory to AI agents for context recall?▼

Persistent local memory for AI agents is achieved by storing and indexing contextual memories with on-device embeddings. This approach uses Qdrant-backed storage to recall relevant context locally without external APIs.

What's the best way to maintain semantic memory continuity in offline environments?▼

Semantic memory continuity in offline environments is maintained by using local embeddings and in-memory mode or disk persistence. This setup allows agents to recall relevant context without relying on network connectivity.

Does local semantic memory support configurable PII capture controls?▼

Yes, local semantic memory supports configurable PII capture controls for privacy-conscious memory handling. This ensures sensitive information is managed according to specified privacy requirements during storage and recall.

How do I set memory caps for local semantic search storage?▼

Memory caps for local semantic search storage are set through configurable parameters within the memory layer. This limits the volume of indexed memories, ensuring efficient recall and controlled disk persistence.

Can I use in-memory mode for zero-configuration semantic memory?▼

Yes, in-memory mode can be used for zero-configuration semantic memory. It enables immediate context recall without setup, while persistent Qdrant storage remains available for long-term memory needs.

Why do agents lose contextual continuity across conversations without local memory?▼

Agents lose contextual continuity across conversations because they lack a persistent storage layer for indexing past interactions. Implementing a local semantic memory layer solves this by capturing and recalling relevant context.