Use Case
vector-memory isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 setup required - just install and memory_search works immediately, gets better after optional sync. This guide covers how to deploy vector-memory for your team, standardize prompts, and create shared workflows that everyone can use.
Install vector-memory in your project directory: .claude/skills/vector-memory/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use vector-memory 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 vector-memory
How can my team use vector-memory together?
Set up vector-memory for our project so everyone can use it
Create a shared workflow using vector-memory for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install vector-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vector-memoryβ 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/vector-memory/π‘Extract and place the folder at the path above, then restart your agent.