Use Case
Ollama Memory Embeddings isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy Ollama Memory Embeddings for your team, standardize prompts, and create shared workflows that everyone can use.
Install Ollama Memory Embeddings in your project directory: .claude/skills/ollama-memory-embeddings/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Ollama Memory Embeddings in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Ollama Memory Embeddings
How can my team use Ollama Memory Embeddings together?
Set up Ollama Memory Embeddings for our project so everyone can use it
Create a shared workflow using Ollama Memory Embeddings for our team
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.