# Memory (LanceDB) Extension

LanceDB-backed long-term memory with semantic search.

## Venice Embeddings (New!)

Uncensored embeddings w/o OpenAI key:

```json
{
  \"extensions\": {
    \"memory-lancedb\": {
      \"embedding\": {
        \"provider\": \"venice\",
        \"model\": \"text-embedding-bge-m3\",
        \"apiKey\": \"VENICE-INFERENCE-KEY-...\",
        \"baseUrl\": \"https://api.venice.ai/api/v1\"
      },
      \"autoCapture\": true,
      \"autoRecall\": true
    }
  }
}
```

- **Model**: text-embedding-bge-m3 (1024 dims)
- **Compatible**: OpenAI client proxy
- **Fallback**: OpenAI text-embedding-3-small/large

## Setup

1. Add to Clawdbot config.
2. `clawdbot gateway restart`
3. Use `memory_search \"query\"` – works!

## Tools

- `memory_search`: Semantic recall from MEMORY.md + memory/*.md
- `memory_get`: Snippet read
- Auto-capture/recall on conversations

Tested Venice API response."
</xai:function_call}

<xai:function_call name="exec">
<parameter name="command">git -C /root/clawd/clawdbot-fork add extensions/memory-lancedb/README.md