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 s
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Smart memory search that automatically selects the best method:
Zero configuration required. Works immediately after install.
npx clawhub install vector-memory
Done!
memory_searchnode vector-memory/smart_memory.js --sync
After sync, searches use neural embeddings for semantic understanding.
// 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)
Auto-selects best method
Parameters:
querymax_resultsReturns: Matches with path, lines, score, snippet
Get full content from file.
Index memory files for vector search. Run after edits.
Check which method is active.
| Feature | Built-in | Vector | Smart Wrapper |
|---|---|---|---|
| Synonyms | ❌ | ✅ | ✅ (when ready) |
| Setup | Built-in | Requires sync | ✅ Zero config |
| Fallback | N/A | Manual | ✅ Automatic |
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 --syncNow all searches use vector
node vector-memory/smart_memory.js --search "query"
| File | Purpose |
|---|---|
| Main entry - auto-selects method |
| Vector implementation |
| OpenClaw wrapper |
None required.
Optional environment variables:
export MEMORY_DIR=/path/to/memory export MEMORY_FILE=/path/to/MEMORY.md
No automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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