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OpenClaw Memory Qdrant

Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).

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High Signal

Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: CHANGELOG.md, index.js, openclaw.plugin.json, package-lock.json, package.json, README.md

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.10

Provenance

Publisher: zuiho-kai
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

memory-qdrant

Use when you need your OpenClaw agent to remember and recall information across conversations using semantic search. Local semantic memory plugin powered by Qdrant vector database and Transformers.js embeddings. Zero configuration, fully local, no API keys required.

Features

Semantic search with local Transformers.js embeddings In-memory mode (zero config) or persistent Qdrant storage Optional auto-capture of conversation context (opt-in, disabled by default) Context-aware memory recall Fully local, no API keys or external services required

Installation

clawhub install memory-qdrant First-time setup: This plugin downloads a 25MB embedding model from Hugging Face on first run and may require build tools for native dependencies (sharp, onnxruntime). See README for detailed installation requirements.

Configuration

Enable in your OpenClaw config: { "plugins": { "memory-qdrant": { "enabled": true } } } Options: autoCapture (default: false) - Auto-record conversations. Note: trigger patterns include email/phone regex, so enabling this may capture PII. autoRecall (default: true) - Auto-inject relevant memories qdrantUrl (optional) - External Qdrant server (leave empty for in-memory)

Usage

Three tools available: memory_store - Save information memory_store({ text: "User prefers Opus for complex tasks", category: "preference" }) memory_search - Find relevant memories memory_search({ query: "workflow preferences", limit: 5 }) memory_forget - Delete memories memory_forget({ memoryId: "uuid" }) // or memory_forget({ query: "text to forget" })

Privacy & Security

In-memory mode (default): Data cleared on restart Qdrant mode: Data sent to configured server (use trusted servers only) Network: Downloads ~25MB model from Hugging Face on first run autoCapture: Disabled by default for privacy. Trigger patterns match emails and phone-like numbers, so enabling autoCapture can capture PII.

Technical Details

Vector DB: Qdrant (in-memory or external) Embeddings: Xenova/all-MiniLM-L6-v2 (local) Module: ES6 with factory function pattern

Links

GitHub: https://github.com/zuiho-kai/openclaw-memory-qdrant Issues: https://github.com/zuiho-kai/openclaw-memory-qdrant/issues

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Config2 Docs1 Scripts

CHANGELOG.md Docs
README.md Docs
index.js Scripts
openclaw.plugin.json Config
package-lock.json Config
package.json Config