BundleIQ Integration for AI Agents for Openclaw

A sophisticated knowledge management skill that allows AI agents to organize, search, and connect information within BundleIQ workspaces.

membranedev
v1.0.2
Apr 30, 2026
0
393
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install bundleiq

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 bundleiq 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 BundleIQ Integration for AI Agents?

BundleIQ is a specialized knowledge management platform designed to help teams and individuals centralize insights and improve decision-making. By utilizing Openclaw Skills, developers can connect their AI agents to BundleIQ to perform complex data operations, manage records, and automate the flow of information across different workspaces.

This integration simplifies the interaction between AI models and structured knowledge bases by handling the heavy lifting of authentication and API management. Through Openclaw Skills, your agent gains the ability to treat BundleIQ as a dynamic long-term memory and organizational hub, ensuring that critical data is always accessible and actionable.

BundleIQ Integration for AI Agents Use Cases

  • Automating the ingestion of research notes into specific BundleIQ documents.
  • Searching and retrieving relevant sections from a knowledge base to answer user queries.
  • Organizing disparate information using tags and workspaces for better metadata management.
  • Synchronizing data between external sources and BundleIQ through AI-driven workflows.
  • Leveraging Openclaw Skills to build self-organizing repositories for technical documentation.

How BundleIQ Integration for AI Agents Works

  1. The AI agent utilizes the Membrane CLI to establish a secure link with the BundleIQ platform.
  2. Authentication is handled via a tenant-based login system, ensuring secure access to workspace data.
  3. A connection is established and monitored until it reaches a READY state, signifying a stable link.
  4. The agent searches for specific actions based on natural language intent (e.g., "create document" or "find tag").
  5. Actions are executed with JSON parameters, or the agent uses a proxy request to interact directly with the BundleIQ API for custom needs.

BundleIQ Integration for AI Agents Setup

To integrate BundleIQ with your environment, first install the necessary CLI tool:

npm install -g @membranehq/cli@latest

Next, authenticate your agent to enable Openclaw Skills functionality:

membrane login --tenant --clientName=openclaw

Finally, ensure the connection to BundleIQ is active:

membrane connection ensure "https://www.bundleiq.com/" --json

BundleIQ Integration for AI Agents Data Schema & Taxonomy

The skill interacts with BundleIQ through a structured hierarchy of information. Below is the primary data organization:

Level Entity Description
1 Workspace The primary container for all documents and settings.
2 Document Individual knowledge records stored within a workspace.
3 Section Granular segments of content within a document.
Metadata Tag Labels used for categorization and cross-document search.
Identity User/Account Information regarding the authorized user and subscription details.

BundleIQ Integration for AI Agents Advanced Features

  • Intent-based discovery: Dynamically find the right tool for the task using natural language search via Openclaw Skills.
  • Automated Credential Management: Transparent handling of OAuth tokens and API keys without user intervention.
  • API Proxying: Send direct, authenticated requests to the BundleIQ API for deep integration use cases.
  • Multi-Agent Support: Compatible with various agent types including Claude, Openclaw, and Codex.
  • Long-polling Connections: Built-in wait mechanisms to ensure connections are ready before executing mission-critical tasks.

SKILL.md


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