A high-performance neural search and web content retrieval tool powered by Exa AI for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exa-search-rust
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install exa-search-rust 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 Exa Search?
The Exa Search skill provides a powerful interface for AI agents to interact with the Exa AI search engine, enabling neural web searches, similar-page discovery, and direct URL content fetching. Built as a high-performance Rust binary, this extension for Openclaw Skills is significantly faster than standard implementations, allowing agents to retrieve documentation, research papers, and news in sub-second timeframes. It bypasses the limitations of traditional keyword search by using embeddings to find semantically relevant results.
By integrating this skill, developers can equip their agents with the ability to crawl the live web, filter results by domain or date, and even generate AI-powered summaries or highlights of page contents. It serves as a critical component for any workflow requiring real-time information retrieval or deep web research within the Openclaw Skills ecosystem.
Exa Search Use Cases
- Finding technical documentation, GitHub repositories, or academic papers using neural queries.
- Monitoring recent industry news and announcements with live crawl functionality.
- Extracting the full text of known URLs for content analysis and processing.
- Discovering alternative tools or competitors by searching for pages similar to a reference URL.
- Generating summaries and key takeaways from multiple web sources to streamline research tasks.
How Exa Search Works
- The user or agent provides a query or URL along with optional parameters like result count or date filters.
- The skill retrieves the necessary credentials from the local environment to authenticate with the Exa AI API.
- A native Rust binary processes the request, communicating with Exa's neural index or performing a live crawl based on the specified mode.
- The API returns structured data, which the skill enriches with highlights or summaries if requested.
- The output is delivered as a JSON object containing both raw data and a pre-formatted Markdown string ready for immediate display.
Exa Search Setup
To use this skill, you must first obtain an API key from exa.ai. Add it to your local environment configuration:
echo "EXA_API_KEY=your_key_here" >> ~/.openclaw/workspace/.env
Ensure you have the Rust toolchain installed, then run the installation script to build the optimized binary:
cd ~/.openclaw/workspace/skills/exa-search
bash install.sh
Exa Search Data Schema & Taxonomy
The skill returns a structured JSON response for every action. Below is the schema for the results gathered through these Openclaw Skills:
| Property | Type | Description |
|---|---|---|
| url | String | The permanent link to the resource. |
| title | String | The page title or headline. |
| score | Float | The neural relevance score (0.0 to 1.0). |
| published_date | String | The ISO-8601 date of publication. |
| text | String | The extracted clean text content of the page. |
| highlights | Array | Specific sentences matching the query context. |
| formatted | String | A pre-rendered Markdown version of the result for display. |
Exa Search Advanced Features
- Granular Livecrawl control (never, fallback, preferred, always) to optimize for speed or data freshness.
- Similarity search actions to find related content without needing a text query.
- Automatic domain filtering to include or exclude specific websites from results.
- Integrated AI summarization to extract key takeaways directly from the search engine.
- Multi-type search modes including neural, keyword, or automatic detection for specialized lookups.
SKILL.md
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