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// Skill profile

Vector Memory

name: vector-memory

by bluepointdigital · published 2026-03-22

API集成自动化任务加密货币
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Last updated
2026-03
// Install command
$ claw add gh:bluepointdigital/bluepointdigital-vector-memory
View on GitHub
// Full documentation

---

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

    npx clawhub install vector-memory

    Done! `memory_search` now works with automatic method selection.

    Optional: Sync for Better Results

    node vector-memory/smart_memory.js --sync

    After sync, searches use neural embeddings for semantic understanding.

    How It Works

    Smart Selection

    // 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):**

    node vector-memory/smart_memory.js --search "query"

    **Better quality (after sync):**

    # 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:

    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
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