openclaw-memory-enhancer

# 🧠 OpenClaw Memory Enhancer

Give OpenClaw **long-term memory** - remember important information across sessions and automatically recall relevant context for conversations.

## Core Capabilities

| Capability | Description |
|------------|-------------|
| 🔍 **Semantic Search** | Vector similarity search, understanding intent not just keywords |
| 📂 **Auto Load** | Automatically reads all files from `memory/` directory |
| 💡 **Smart Recall** | Finds relevant historical memory during conversations |
| 🔗 **Memory Graph** | Builds connections between related memories |
| 💾 **Local Storage** | 100% local, no cloud, complete privacy |
| 🚀 **Edge Optimized** | <10MB memory, runs on Jetson/Raspberry Pi |

## Quick Reference

| Task | Command (Edge Version) | Command (Standard Version) |
|------|------------------------|---------------------------|
| Load memories | `python3 memory_enhancer_edge.py --load` | `python3 memory_enhancer.py --load` |
| Search | `--search "query"` | `--search "query"` |
| Add memory | `--add "content"` | `--add "content"` |
| Export | `--export` | `--export` |
| Stats | `--stats` | `--stats` |

## When to Use

**Use this skill when:**
- You want OpenClaw to remember things across sessions
- You need to build a knowledge base from chat history
- You're working on long-term projects that need context
- You want automatic FAQ generation from conversations
- You're running on edge devices with limited memory

**Don't use when:**
- Simple note-taking apps are sufficient
- You don't need cross-session memory
- You have plenty of memory and want maximum accuracy (use standard version)

## Versions

### Edge Version ⭐ Recommended

**Best for:** Jetson, Raspberry Pi, embedded devices

```bash
python3 memory_enhancer_edge.py --load
```

**Features:**
- Zero dependencies (Python stdlib only)
- Memory usage < 10MB
- Lightweight keyword + vector matching
- Perfect for resource-constrained devices

### Standard Version

**Best for:** Desktop/server, m...