Use Case
Stop doing repetitive documents & notes tasks manually. Ollama Memory Embeddings lets your AI agent handle them automatically through natural conversation. Configure OpenClaw memory search to use Ollama as the embeddings server (OpenAI-compatible /v1/embeddings) instead of the built-in node-llama-cpp local GGUF loading. Includes interactive model selection and optional import of an existing local embedding GGUF into Ollama. This guide shows practical examples of using Ollama Memory Embeddings to automate common documents & notes workflows and save hours every week.
Install Ollama Memory Embeddings: npx clawhub@latest --dir ~/.claude/skills install ollama-memory-embeddings
Identify the repetitive documents & notes tasks you want to automate
Describe the task to your AI in plain English
Ollama Memory Embeddings will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Ollama Memory Embeddings
Automate my documents & notes tasks using Ollama Memory Embeddings
What repetitive tasks can Ollama Memory Embeddings handle for me?
Set up a workflow that runs Ollama Memory Embeddings every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install ollama-memory-embeddingsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ollama-memory-embeddingsβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/ollama-memory-embeddings/π‘Extract and place the folder at the path above, then restart your agent.