Openclaw Semantic Memory

Data & APIs

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

Install

openclaw skills install openclaw-semantic-memory

semantic-memory

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 vector search 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 semantic-memory

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": {
    "semantic-memory": {
      "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