PowerMem Memory Minimal Install for Openclaw

A streamlined, minimal installation guide for adding long-term memory capabilities to OpenClaw using PowerMem without complex environment configurations.

teingi
v0.1.0
Mar 24, 2026
0
938
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install install-powermem-memory-minimal

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install install-powermem-memory-minimal using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is PowerMem Memory Minimal Install?

This skill provides a simplified path for individual users to integrate PowerMem into their OpenClaw environment. By leveraging existing model configurations within OpenClaw, it eliminates the need for manual powermem.env setup, making long-term memory accessible to developers who want persistent context without the overhead of complex infrastructure.

The skill ensures that the memory module uses the same API keys and models already configured in OpenClaw, providing a seamless bridge between transient chat sessions and a persistent knowledge base stored locally via SQLite.

PowerMem Memory Minimal Install Use Cases

  • Enabling long-term context retention for personal AI coding assistants.
  • Reducing repeated instructions by storing user preferences and past interactions in a persistent memory layer.
  • Setting up a lightweight AI memory system on local machines with minimal resource overhead.
  • Rapidly prototyping AI agents that require historical awareness across multiple sessions.

How PowerMem Memory Minimal Install Works

  1. The system verifies that OpenClaw is functional and configured with a working LLM.
  2. It performs a strict Python version check to ensure compatibility (>= 3.10).
  3. PowerMem is installed into a dedicated virtual environment to prevent dependency conflicts.
  4. The OpenClaw gateway is configured to locate the pmem executable path.
  5. The memory-powermem plugin is loaded into the OpenClaw gateway architecture.
  6. Data is indexed and retrieved using SQLite, allowing the AI to search and add long-term memories via CLI commands.

PowerMem Memory Minimal Install Setup

Prerequisites

Ensure your Python version is 3.10 or higher:

# Create virtual environment and install PowerMem
python3 -m venv ~/.openclaw/powermem/.venv
source ~/.openclaw/powermem/.venv/bin/activate
pip install powermem

# Install the Openclaw plugin
curl -fsSL https://raw.githubusercontent.com/ob-labs/memory-powermem/main/install.sh | bash -s -y

PowerMem Memory Minimal Install Data Schema & Taxonomy

The skill manages memory data using a local SQLite architecture integrated within the Openclaw data directory.

Component Description
Storage Engine SQLite (Local file-based)
Metadata Timestamps, importance scores, and context tags
Model Sync Reuses Openclaw default model and API Key for embeddings and retrieval
Pathing Managed via pmemPath in the plugin configuration

PowerMem Memory Minimal Install Advanced Features

  • Direct CLI management of Long-Term Memory (LTM) using openclaw ltm commands.
  • Health check diagnostics via openclaw ltm health to ensure model connectivity.
  • Support for custom pmemPath to point to specific virtual environment binaries.
  • Seamless integration with existing Openclaw plugins to provide context-aware responses based on historical data.

SKILL.md


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