Mem AI Agent Skill for Openclaw

The Mem skill enables AI agents to interact with a self-organizing workspace to manage notes, documents, and tasks through the Membrane automation layer.

gora050
v1.0.4
May 1, 2026
0
542
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install mem-integration

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 mem-integration 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 Mem AI Agent Skill?

Mem is a sophisticated, self-organizing workspace that bridges the gap between notes, documents, and tasks, allowing teams to connect information across various sources. This integration for Openclaw Skills empowers developers to build agents that can programmatically capture ideas, organize project data, and retrieve context from a user's knowledge base.

By leveraging the Membrane CLI, this skill removes the friction of manual API management. Openclaw Skills users benefit from automated credential handling and a standardized interface for interacting with Mem entities like Mems, Collections, and Tags, ensuring that AI-driven workflows remain secure and persistent without local secret storage.

Mem AI Agent Skill Use Cases

  • Automatically capturing and formatting meeting notes or brainstormed ideas into new Mems.
  • Organizing research by dynamically categorizing information into specific Collections based on AI analysis.
  • Retrieving task lists or historical project context to inform agent-driven decision-making processes.
  • Synchronizing external data into a centralized Mem workspace to facilitate team collaboration within Openclaw Skills workflows.

How Mem AI Agent Skill Works

  1. The AI agent initializes the environment by installing and logging into the Membrane CLI with a specific tenant identity.
  2. A secure connection is established to the Mem platform, which handles OAuth and token refreshes automatically in the background.
  3. The agent performs an intent-based search to discover the most relevant actions for the current task, such as creating or listing Mems.
  4. Actions are executed using JSON-formatted inputs, with the Membrane runtime handling the mapping and error logic.
  5. For specialized requirements, the agent can utilize a transparent proxy to send raw HTTP requests directly to the Mem API while maintaining secure authentication headers.

Mem AI Agent Skill Setup

Install the CLI

Install the required tools to enable Openclaw Skills to communicate with the workspace:

npm install -g @membranehq/cli@latest

Authentication

Log in to your tenant to establish the session:

membrane login --tenant --clientName=openclaw

Connecting to Mem

Initialize the link to the Mem service and follow the browser instructions if a client action is required:

membrane connection ensure "https://mem.ai/" --json

Mem AI Agent Skill Data Schema & Taxonomy

Entity Purpose Key Metadata
Mems The primary unit of information, representing notes or documents. content, id, created_at, tags
Collections Organizational containers used to group related Mems. name, description, color, id
Tags Metadata labels used for cross-referencing and filtering data. name, id
Actions Functional endpoints that define how Openclaw Skills interact with the API. inputSchema, outputSchema, description

Mem AI Agent Skill Advanced Features

  • Natural Language Intent Discovery: Use the CLI to find the best actions based on descriptive goals rather than hardcoded endpoint names.
  • Automated Auth Lifecycle: Benefit from server-side credential management that eliminates the need for Openclaw Skills to handle sensitive API keys locally.
  • Direct API Proxying: Access any Mem API endpoint with automatic header injection and transparent token refresh for custom requirements.
  • Headless Environment Support: Dedicated workflows for logging in and authorizing connections in non-interactive server environments.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*