diff --git a/docs/providers/venice.md b/docs/providers/venice.md
index f8b9689b9..249641625 100644
--- a/docs/providers/venice.md
+++ b/docs/providers/venice.md
@@ -1,16 +1,16 @@
 ---
-summary: "Use Venice AI privacy-focused models in Clawdbot"
+summary: "Use Venice AI privacy-focused models in Moltbot"
 read_when:
-  - You want privacy-focused inference in Clawdbot
+  - You want privacy-focused inference in Moltbot
   - You want Venice AI setup guidance
 ---
-# Venice AI (Venius highlight)
+# Venice AI (Venice highlight)
 
 **Venice** is our highlight Venice setup for privacy-first inference with optional anonymized access to proprietary models.
 
 Venice AI provides privacy-focused AI inference with support for uncensored models and access to major proprietary models through their anonymized proxy. All inference is private by default—no training on your data, no logging.
 
-## Why Venice in Clawdbot
+## Why Venice in Moltbot
 
 - **Private inference** for open-source models (no logging).
 - **Uncensored models** when you need them.
@@ -45,7 +45,7 @@ Venice offers two privacy levels — understanding this is key to choosing your
 2. Go to **Settings → API Keys → Create new key**
 3. Copy your API key (format: `vapi_xxxxxxxxxxxx`)
 
-### 2. Configure Clawdbot
+### 2. Configure Moltbot
 
 **Option A: Environment Variable**
 
@@ -56,7 +56,7 @@ export VENICE_API_KEY="vapi_xxxxxxxxxxxx"
 **Option B: Interactive Setup (Recommended)**
 
 ```bash
-clawdbot onboard --auth-choice venice-api-key
+moltbot onboard --auth-choice venice-api-key
 ```
 
 This will:
@@ -68,7 +68,7 @@ This will:
 **Option C: Non-interactive**
 
 ```bash
-clawdbot onboard --non-interactive \
+moltbot onboard --non-interactive \
   --auth-choice venice-api-key \
   --venice-api-key "vapi_xxxxxxxxxxxx"
 ```
@@ -76,12 +76,12 @@ clawdbot onboard --non-interactive \
 ### 3. Verify Setup
 
 ```bash
-clawdbot chat --model venice/llama-3.3-70b "Hello, are you working?"
+moltbot chat --model venice/llama-3.3-70b "Hello, are you working?"
 ```
 
 ## Model Selection
 
-After setup, Clawdbot shows all available Venice models. Pick based on your needs:
+After setup, Moltbot shows all available Venice models. Pick based on your needs:
 
 - **Default (our pick)**: `venice/llama-3.3-70b` for private, balanced performance.
 - **Best overall quality**: `venice/claude-opus-45` for hard jobs (Opus remains the strongest).
@@ -91,19 +91,19 @@ After setup, Clawdbot shows all available Venice models. Pick based on your need
 Change your default model anytime:
 
 ```bash
-clawdbot models set venice/claude-opus-45
-clawdbot models set venice/llama-3.3-70b
+moltbot models set venice/claude-opus-45
+moltbot models set venice/llama-3.3-70b
 ```
 
 List all available models:
 
 ```bash
-clawdbot models list | grep venice
+moltbot models list | grep venice
 ```
 
-## Configure via `clawdbot configure`
+## Configure via `moltbot configure`
 
-1. Run `clawdbot configure`
+1. Run `moltbot configure`
 2. Select **Model/auth**
 3. Choose **Venice AI**
 
@@ -159,7 +159,7 @@ clawdbot models list | grep venice
 
 ## Model Discovery
 
-Clawdbot automatically discovers models from the Venice API when `VENICE_API_KEY` is set. If the API is unreachable, it falls back to a static catalog.
+Moltbot automatically discovers models from the Venice API when `VENICE_API_KEY` is set. If the API is unreachable, it falls back to a static catalog.
 
 The `/models` endpoint is public (no auth needed for listing), but inference requires a valid API key.
 
@@ -192,19 +192,19 @@ Venice uses a credit-based system. Check [venice.ai/pricing](https://venice.ai/p
 
 ```bash
 # Use default private model
-clawdbot chat --model venice/llama-3.3-70b
+moltbot chat --model venice/llama-3.3-70b
 
 # Use Claude via Venice (anonymized)
-clawdbot chat --model venice/claude-opus-45
+moltbot chat --model venice/claude-opus-45
 
 # Use uncensored model
-clawdbot chat --model venice/venice-uncensored
+moltbot chat --model venice/venice-uncensored
 
 # Use vision model with image
-clawdbot chat --model venice/qwen3-vl-235b-a22b
+moltbot chat --model venice/qwen3-vl-235b-a22b
 
 # Use coding model
-clawdbot chat --model venice/qwen3-coder-480b-a35b-instruct
+moltbot chat --model venice/qwen3-coder-480b-a35b-instruct
 ```
 
 ## Troubleshooting
@@ -213,14 +213,14 @@ clawdbot chat --model venice/qwen3-coder-480b-a35b-instruct
 
 ```bash
 echo $VENICE_API_KEY
-clawdbot models list | grep venice
+moltbot models list | grep venice
 ```
 
 Ensure the key starts with `vapi_`.
 
 ### Model not available
 
-The Venice model catalog updates dynamically. Run `clawdbot models list` to see currently available models. Some models may be temporarily offline.
+The Venice model catalog updates dynamically. Run `moltbot models list` to see currently available models. Some models may be temporarily offline.
 
 ### Connection issues
 
@@ -256,9 +256,34 @@ Venice API is at `https://api.venice.ai/api/v1`. Ensure your network allows HTTP
 }
 ```
 
+## Embeddings for Memory (New!)
+
+Venice supports OpenAI-compatible embeddings (`/api/v1/embeddings`) – perfect for semantic memory search (memory-lancedb plugin).
+
+**Config** (in Moltbot/agent config):
+```json
+"extensions": {
+  "memory-lancedb": {
+    "embedding": {
+      "provider": "venice",
+      "model": "text-embedding-bge-m3",
+      "apiKey": "${VENICE_API_KEY}",
+      "baseUrl": "https://api.venice.ai/api/v1"
+    }
+  }
+}
+```
+
+- **Model**: text-embedding-bge-m3 (1024 dims, multilingual)
+- **Private**: Embeddings are ephemeral/private like inference.
+- **Test**: `memory_search "habits"` – recalls from MEMORY.md + memory/*.md.
+- **Why Venice**: Uncensored/private vector search, no OpenAI key needed.
+
+`moltbot gateway restart` → ready!
+
 ## Links
 
 - [Venice AI](https://venice.ai)
 - [API Documentation](https://docs.venice.ai)
 - [Pricing](https://venice.ai/pricing)
-- [Status](https://status.venice.ai)
+- [Status](https://status.venice.ai)
\ No newline at end of file