Overview
- Skill Key
- bluepointdigital/vector-memory
- Author
- bluepointdigital
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/bluepointdigital/vector-memory
- Latest Commit SHA
- beae010b338d84739d2ee0e251cb4b89e775c454
Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No setup required - just install and memory_search works immediately, gets better after optional sync.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 vector-memory 技能。 若已安装,则直接安装 vector-memory 技能。
# Vector Memory
Smart memory search that **automatically selects the best method**:
- **Vector search** (semantic, high quality) when synced
- **Built-in search** (keyword, fast) as fallback
**Zero configuration required.** Works immediately after install.
## Quick Start
### Install from ClawHub
```bash
npx clawhub install vector-memory
```
Done! `memory_search` now works with automatic method selection.
### Optional: Sync for Better Results
```bash
node vector-memory/smart_memory.js --sync
```
After sync, searches use neural embeddings for semantic understanding.
## How It Works
### Smart Selection
```javascript
// Same call, automatic best method
memory_search("James principles values")
// If vector ready: finds "autonomy, competence, creation" (semantic match)
// If not ready: uses keyword search (fallback)
```
### Behavior Flow
1. **Check**: Is vector index ready?
2. **Yes**: Use semantic search (synonyms, concepts)
3. **No**: Use built-in search (keywords)
4. **Vector fails**: Automatically fall back
## Tools
### memory_search
**Auto-selects best method**
Parameters:
- `query` (string): Search query
- `max_results` (number): Max results (default: 5)
Returns: Matches with path, lines, score, snippet
### memory_get
Get full content from file.
### memory_sync
Index memory files for vector search. Run after edits.
### memory_status
Check which method is active.
## Comparison
| Feature | Built-in | Vector | Smart Wrapper |
|---------|----------|--------|---------------|
| Synonyms | ❌ | ✅ | ✅ (when ready) |
| Setup | Built-in | Requires sync | ✅ Zero config |
| Fallback | N/A | Manual | ✅ Automatic |
## Usage
**Immediate (no action needed):**
```bash
node vector-memory/smart_memory.js --search "query"
```
**Better quality (after sync):**
```bash
# One-time setup
node vector-memory/smart_memory.js --sync
# Now all searches use vector
node vector-memory/smart_memory.js --search "query"
```
## Files
| File | Purpose |
|------|---------|...
# Vector Memory for OpenClaw
**Zero-configuration smart memory search**. Automatically uses neural embeddings when available, falls back to built-in search otherwise.
```bash
# Install and it just works
npx clawhub install vector-memory
# Optional: sync for better quality
node vector-memory/smart_memory.js --sync
```
## ✨ The Magic
**Same function call. Automatic best method.**
```javascript
// This automatically does the right thing
memory_search("User principles values")
// If vector synced: finds "autonomy, competence, creation" (semantic!)
// If not synced: uses keyword search (fallback)
```
No configuration. No manual switching. No broken workflows.
## 🚀 Quick Start
### From ClawHub (Recommended)
```bash
npx clawhub install vector-memory
```
Done. `memory_search` now has smart fallback.
### From GitHub
```bash
curl -sL https://raw.githubusercontent.com/YOUR_USERNAME/vector-memory-openclaw/main/install.sh | bash
```
### Manual
```bash
git clone https://github.com/YOUR_USERNAME/vector-memory-openclaw.git
cd vector-memory-openclaw/vector-memory && npm install
```
## 🎯 How It Works
```
User searches
│
▼
┌─────────────┐
│ Vector ready?│
└──────┬──────┘
Yes │ │ No
▼ ▼
┌────────┐ ┌──────────┐
│ Neural │ │ Keyword │
│ Search │ │ Search │
│ (best) │ │ (fast) │
└────┬───┘ └────┬─────┘
│ │
└────┬─────┘
▼
┌────────────┐
│ Results │
└────────────┘
```
**Zero config philosophy:**
1. Install → Works immediately (built-in fallback)
2. Sync → Gets better (vector embeddings)
3. Use → Always best available
## 📊 Before & After
| Query | Without Skill | With Skill (Default) | With Skill (Synced) |
|-------|--------------|---------------------|---------------------|
| "User collaboration style" | ⚠️ Weak | ✅ Better | ✅ "work with me, not just for me" |
| "Agent origin" | ⚠️ Weak | ✅ Better | ✅ "Agent to Agent transfer" |
| "values beliefs" | ⚠️ Literal | ✅ Improved | ✅ Semantic ma...
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