---
name: semantic-memory-0fe90caee8b1
description: Local semantic memory with vector search and Transformers.js. Store, search, and recall conversation context using embeddings (fully local, no API keys).
version: 1.0.0
author: zuiho-kai
homepage: https://github.com/zuiho-kai/openclaw-semantic-memory
tags: [memory, semantic-search, vector-search, transformers, embeddings, local-ai, context]
metadata:
  openclaw:
    requires:
      bins: [node, npm]
---

# 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

```bash
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](https://github.com/zuiho-kai/openclaw-memory-qdrant#readme) for detailed installation requirements.

## Configuration

Enable in your OpenClaw config:

```json
{
  "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
```javascript
memory_store({
  text: "User prefers Opus for complex tasks",
  category: "preference"
})
```

**memory_search** - Find relevant memories
```javascript
memory_search({
  query: "workflow preferences",
  limit: 5
})
```

**memory_forget** - Delete memories
```javascript
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

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


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/openclaw-semantic-memory/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/openclaw-semantic-memory/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Scientist, ML / AI Engineer
Specialties: API, Backend
Tools: Qdrant, Transformers.Js
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: b9d6ec4650cf2c15620ade17e513c68add103952145dc82b9cdb41557fb28740