Typesense Search for Openclaw

A lightning-fast search engine integration that enables AI agents to manage collections, documents, and cluster health through secure automated workflows.

gora050
v1.0.4
May 1, 2026
0
500
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install typesense

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 typesense 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 Typesense Search?

Typesense Search is a high-speed, open-source search engine optimized for developer experience and sub-millisecond response times. This skill integrates Typesense directly into the agent workflow, allowing for the seamless management of search data, aliases, and cluster operations. By leveraging the power of Openclaw Skills, developers can interact with their search infrastructure using natural language intents while maintaining robust security and performance standards.

The integration utilizes the Membrane framework to handle complex authentication and credential refreshes server-side. This ensures that your search-driven applications remain functional and secure without requiring manual token management or local secret storage. Whether you are building an AI-powered search interface or automating data indexing, this skill provides the tools necessary to bridge the gap between LLMs and search engines.

Typesense Search Use Cases

  • Indexing and updating documents in real-time within Typesense collections.
  • Monitoring search cluster health, stats, and performance metrics via AI agents.
  • Automating the creation of search aliases and synonyms to improve query relevance.
  • Integrating instant search capabilities into broader application workflows using Openclaw Skills.

How Typesense Search Works

  1. The Membrane CLI is used to authenticate the environment and establish the agent identity.
  2. A connection is established to the Typesense instance, ensuring that all subsequent requests are properly scoped and authorized.
  3. The agent searches for available actions using natural language descriptors to identify the best way to interact with the search engine.
  4. Parameters are passed to the chosen action, which Openclaw Skills executes to perform operations like document creation or collection management.
  5. For specialized needs, the agent can use proxy requests to hit specific API endpoints while Membrane handles the header and authentication injection.

Typesense Search Setup

To begin using this skill, install the Membrane CLI in your environment:

npm install -g @membranehq/cli@latest

Login and specify your agent type to optimize the tooling:

membrane login --tenant --clientName=openclaw

Connect to your instance to enable Openclaw Skills to communicate with your data:

membrane connection ensure "https://typesense.org/" --json

Typesense Search Data Schema & Taxonomy

The skill organizes Typesense Search data and operations around several key metadata taxonomies:

Component Functionality
Collection The primary data structure for grouping documents
Document The individual record containing searchable fields
Alias A virtual pointer for versioning or hot-swapping collections
Cluster Operation Management tasks related to node health and snapshots
Metrics/Stats Quantitative data regarding search performance and usage

Typesense Search Advanced Features

  • Server-side credential management that eliminates the need for local API keys.
  • Built-in pagination and error handling for large-scale document operations.
  • Direct API proxying to access advanced cluster operations and snapshots.
  • Support for multiple agent types to tailor the Openclaw Skills experience to your specific harness.
  • Long-polling mechanisms to wait for connection readiness in automated environments.

SKILL.md


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