searxng-search

Search and aggregate web results locally via SearXNG without external API keys.

58|5|Updated Nov 26, 2022

Search Tags:#search #docker #privacy #web #content-extraction #searxng

Ready to run

npx skills add https://github.com/walterra/eddoapp --skill searxng-search-walterra

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: searxng-search
Source: https://github.com/walterra/eddoapp/tree/main/packages/chat-agent/skills/searxng-search
Command: npx skills add https://github.com/walterra/eddoapp --skill searxng-search-walterra

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SearXNG local web search provides a privacy-preserving, API-key-free metasearch experience within containerized environments, enabling AI agents to retrieve up-to-date information without exposing credentials or relying on external services.

Core Features & Use Cases

Local web search via SearXNG metasearch engine (no external API keys required)
Content extraction: fetch and render readable markdown snippets from results
Containerized deployment: works within eddo-chat networks for isolation and reproducibility
Use Case: programmatic information gathering for AI agents, documentation lookups, and quick fact-checks from internal tooling

Quick Start

Invoke search.js with your query to retrieve results from the local SearXNG service.

Frequently Asked Questions about searxng-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run a local web search without external API keys?▼

Run a local web search without external API keys by deploying the SearXNG metasearch engine within a containerized environment, invoking search.js with your query to retrieve aggregated results.

Does SearXNG content extraction support rendering markdown snippets?▼

SearXNG content extraction supports fetching and rendering readable markdown snippets from web results, providing markdown-ready output for programmatic information gathering and documentation lookups.

Can I use Docker for privacy-preserving metasearch in containerized environments?▼

Docker supports privacy-preserving metasearch in containerized environments by isolating the SearXNG deployment within eddo-chat networks, ensuring reproducible local web search without exposing credentials.

What is the best way to retrieve up-to-date information for AI agents locally?▼

The best way to retrieve up-to-date information for AI agents locally is using SearXNG metasearch, which performs query-based retrieval and content rendering without relying on external services.

Are there limitations to using SearXNG for programmatic web search?▼

Limitations of using SearXNG for programmatic web search include its dependency on a containerized setup for orchestration and the need for local CLI utilities to execute query-based retrieval operations.