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    vector-memory

    Smart memory search with automatic vector fallback.

    By @bluepointdigital
    View on GitHub
    SKILL.md
    ---
    name: vector-memory
    description: 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.
    ---
    
    # 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 |
    |------|---------|
    | `smart_memory.js` | Main entry - auto-selects method |
    | `vector_memory_local.js` | Vector implementation |
    | `memory.js` | OpenClaw wrapper |
    
    ## Configuration
    
    **None required.** 
    
    Optional environment variables:
    ```bash
    export MEMORY_DIR=/path/to/memory
    export MEMORY_FILE=/path/to/MEMORY.md
    ```
    
    ## Scaling
    
    - **< 1000 chunks**: Built-in + JSON (current)
    - **> 1000 chunks**: Use pgvector (see references/pgvector.md)
    
    ## References
    
    - [Integration](references/integration.md) - Detailed setup
    - [pgvector](references/pgvector.md) - Large-scale deployment