AI Search By Desearch for Openclaw

An AI-powered multi-source search engine that aggregates, filters, and summarizes content from across the web and social platforms.

okradze
v1.0.2
Feb 25, 2026
2
1.6k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install desearch-ai-search

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 desearch-ai-search 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 AI Search By Desearch?

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.

AI Search By Desearch Use Cases

  • Generating comprehensive summaries of complex technical topics like blockchain or quantum computing.
  • Monitoring real-time market trends and social sentiment across X/Twitter and Reddit.
  • Performing academic research by querying ArXiv and Wikipedia simultaneously.
  • Curating high-quality educational resources from YouTube and web documentation.
  • Tracking recent news developments with specific date-based filtering.

How AI Search By Desearch Works

  1. The user or agent issues a query via specific commands like ai_search or ai_web.
  2. The skill authenticates with the Desearch API using the provided environment variable.
  3. Parallel requests are dispatched to specified sources (e.g., ArXiv, Reddit, Web) based on the --tools parameter.
  4. The Desearch engine aggregates the results, performs AI-driven relevance scoring (miner_link_scores), and generates a summarized response.
  5. The skill returns a structured JSON object containing curated links, social posts, and a natural language completion.

AI Search By Desearch Setup

To integrate this capability into your Openclaw Skills library, follow these steps:

  1. Obtain an API key from the Desearch Console.
  2. Configure your environment by setting the DESEARCH_API_KEY variable:
export DESEARCH_API_KEY='your-key-here'
  1. Ensure your agent environment has access to the desearch.py script to execute commands.

AI Search By Desearch Data Schema & Taxonomy

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.

AI Search By Desearch Advanced Features

  • Multi-source orchestration allowing simultaneous queries to up to 7 distinct platforms.
  • Granular temporal filtering with the --date-filter option for targeted news gathering.
  • Integrated AI summarization to reduce token usage by synthesizing raw data before processing.
  • Configurable result counts up to 200 items for high-density data gathering.
  • Miner link scoring to prioritize high-authority sources automatically.

SKILL.md


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