An AI-powered multi-source search engine that aggregates, filters, and summarizes content from across the web and social platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install desearch-ai-search
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install desearch-ai-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Search By Desearch is a comprehensive search integration designed for Openclaw Skills that bridges the gap between traditional search engines and real-time social platforms. By leveraging this skill, developers can grant their AI agents the ability to perform deep research across fragmented data sources like Reddit, Hacker News, YouTube, and academic repositories through a single unified interface.
This tool is particularly valuable for workflows requiring synthesized answers rather than just a list of links. It allows for contextual analysis of current trends on X/Twitter and deep dives into technical documentation, providing a holistic view of any given topic directly within the agent's environment.
To integrate this capability into your Openclaw Skills library, follow these steps:
export DESEARCH_API_KEY='your-key-here'
The skill returns a structured response that organizes data by source and relevance. Below is the primary structure of the returned JSON:
| Field | Type | Description |
|---|---|---|
| tweets | Array | Detailed metadata for X/Twitter posts including engagement metrics. |
| search | Array | Web results containing titles, links, and text snippets. |
| miner_link_scores | Object | Relevance mapping (HIGH/MEDIUM/LOW) for all returned URLs. |
| completion | String | An AI-generated summary synthesizing information from all sources. |
| media | Array | List of media attachments associated with results. |
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