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zuiho-kai

Openclaw Memory Qdrant

by zuiho · GitHub ↗ · v1.0.15
cross-platform ✓ Security Clean
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Install in OpenClaw
/install openclaw-memory-qdrant
Description
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
README (SKILL.md)

memory-qdrant

Use when you need your OpenClaw agent to remember and recall information across conversations using semantic search.

⚠️ Privacy Notice: The optional autoCapture feature (disabled by default) can capture PII like emails and phone numbers if you enable allowPIICapture. Only enable if you understand the privacy implications.

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:

  • persistToDisk (default: true) - Save memories to disk in memory mode. Data stored in ~/.openclaw-memory/ survives restarts. Set to false for volatile memory.
  • storagePath (optional) - Custom storage directory. Leave empty for default ~/.openclaw-memory/.
  • autoCapture (default: false) - Auto-record conversations. Privacy protection enabled by default: text containing PII (emails, phone numbers) is automatically skipped.
  • allowPIICapture (default: false) - Allow capturing PII when autoCapture is enabled. Only enable if you understand the privacy implications.
  • 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

  • Disk persistence (default): Memories saved to ~/.openclaw-memory/ and survive restarts. Set persistToDisk: false for volatile memory.
  • In-memory mode: When persistToDisk: false, 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
  • PII Protection: By default, autoCapture skips text containing emails or phone numbers. Set allowPIICapture: true only if you understand the privacy implications.
  • autoCapture: Disabled by default for privacy. When enabled, only captures text matching semantic triggers (preferences, decisions, facts) and skips PII unless explicitly allowed.

Technical Details

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

Links

Usage Guidance
This plugin appears to do what it claims: local embeddings + Qdrant-backed memory. Before installing: 1) Be aware it will download a ~25MB model from huggingface.co at first run and install native dependencies (sharp, onnxruntime) that may need build tools. 2) It persists data by default to ~/.openclaw-memory/ — set persistToDisk: false if you want volatile memory, and do not enable allowPIICapture unless you accept the privacy risk. 3) If you plan to use an external Qdrant, only provide a trusted server URL. 4) Review index.js (and test-fixes.js) yourself; there is a small implementation concern (use of api.logger in one catch path may be undefined and could cause runtime errors) — this looks like a bug, not malicious code. 5) For highest safety, test in an isolated environment and lock dependency versions (npm ci) before enabling in production.
Capability Analysis
Type: OpenClaw Skill Name: openclaw-memory-qdrant Version: 1.0.15 The OpenClaw Memory (Qdrant) plugin is designed for local semantic memory. It demonstrates a strong focus on security and privacy, with explicit PII protection (autoCapture disabled by default, allowPIICapture defaults to false, and `containsPII` function to detect and skip PII), robust input sanitization (`sanitizeInput` to prevent XSS/injection), and prompt injection mitigation for stored memories (`formatRelevantMemoriesContext` with explicit agent instructions). The `CHANGELOG.md` and `test-fixes.js` confirm proactive addressing of ReDoS vulnerabilities and other security concerns. All file system and network operations are aligned with the stated purpose and lack any indicators of intentional malicious behavior.
Capability Assessment
Purpose & Capability
Name/description (local semantic memory using Qdrant and Transformers.js) match the included package.json, dependencies (@qdrant/js-client-rest and @xenova/transformers), and the code: it provides memory_store/search/forget, optional external Qdrant URL, and local embeddings. Required binaries (node, npm) and no environment variables are appropriate for this purpose.
Instruction Scope
SKILL.md only instructs installing/enabling the plugin, configuring storage and autoCapture, and documents the model download from Hugging Face. The runtime code reads/writes only its own persistPath and uses the configured qdrantUrl if provided. There are no instructions to read unrelated system files or exfiltrate credentials. Note: autoCapture/allowPIICapture are opt-in and documented; default behavior skips PII.
Install Mechanism
The registry metadata lists no explicit install spec (instruction-only), but the skill bundle contains code, package.json and package-lock.json requiring npm dependencies and native modules (sharp, onnxruntime). Installing will require npm (and platform build tools) and will cause downloads from npm and a ~25MB model from huggingface.co. This is expected for local embeddings but is higher friction than a pure instruction-only skill and worth noting.
Credentials
The skill requests no environment variables or credentials. The only external network interactions are explicit and documented: (1) optional qdrantUrl supplied by the user for external Qdrant, and (2) Transformers.js model download from Hugging Face. No hidden env vars or unrelated credentials are requested.
Persistence & Privilege
The plugin defaults to disk persistence (persistToDisk: true) and stores data under ~/.openclaw-memory/ (or a user-specified storagePath). This is coherent with a memory plugin but has privacy implications: persistent storage plus the (opt-in) autoCapture/allowPIICapture features can store PII if misconfigured. always:false and no global config modifications are used, which is appropriate.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install openclaw-memory-qdrant
  3. After installation, invoke the skill by name or use /openclaw-memory-qdrant
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.15
Custom storage path and default disk persistence
v1.0.13
Added disk persistence for memory mode
v1.0.12
Added prominent PII privacy warning to SKILL.md
v1.0.11
- Added comprehensive documentation and usage guide in SKILL.md. - Clarified configuration options including privacy, PII protection, and memory modes. - Detailed installation requirements and first-time model download behavior. - Explained usage of memory_store, memory_search, and memory_forget tools. - Enhanced privacy and security notes, describing default protections and opt-in options. - Provided links for support and further information.
Metadata
Slug openclaw-memory-qdrant
Version 1.0.15
License
All-time Installs 9
Active Installs 8
Total Versions 4
Frequently Asked Questions

What is 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). It is an AI Agent Skill for Claude Code / OpenClaw, with 1269 downloads so far.

How do I install Openclaw Memory Qdrant?

Run "/install openclaw-memory-qdrant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Openclaw Memory Qdrant free?

Yes, Openclaw Memory Qdrant is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Openclaw Memory Qdrant support?

Openclaw Memory Qdrant is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Openclaw Memory Qdrant?

It is built and maintained by zuiho (@zuiho-kai); the current version is v1.0.15.

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