ythx-101

Self-hosted web search skill for AI agents (OpenClaw/Claude Code/Antigravity) via SearxNG

193
16
100% credibility
Found Mar 09, 2026 at 19 stars 10x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

ask-search is a privacy-focused tool that enables web searching for AI agents by connecting to a self-hosted meta-search engine aggregating results from multiple sources like Google and Bing.

How It Works

1
🔍 Discover private web search

You learn about a handy tool that lets your AI helper search the internet at home, keeping everything private and free.

2
🏠 Set up your own search helper

You start a simple free search service on your computer that pulls info from Google, Bing, and many others without sharing your questions.

3
📦 Add the search command

Run one easy instruction to make the search ready to use anytime from your command line.

4
💬 Ask your first question

Type a question like 'latest AI news' and watch it find helpful links and summaries right away.

5
📋 Pick and explore results

See top results with titles, links, previews, and sources, then visit promising ones for more details.

Enjoy endless private searches

Your AI now searches the web securely whenever needed, with no costs or privacy worries.

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AI-Generated Review

What is ask-search?

ask-search is a Python CLI tool for self-hosted web search, channeling queries through SearxNG to aggregate results from Google, Bing, DuckDuckGo, Brave, and 70+ engines without API keys or data leaks. It solves the pain of paid, rate-limited search APIs for local AI agents, delivering snippets, URLs, and metadata via commands like `ask-search "query" --categories news --lang zh-CN`. Users get privacy-focused ask search engine information straight in their terminal, with JSON or formatted output for easy piping.

Why is it gaining traction?

It stands out with dead-simple integration into OpenClaw, Claude Code, and Antigravity via CLI skills or MCP servers, plus filters for engines, languages, and result counts. No setup hassles beyond spinning up SearxNG Docker—beats complex Bing or Google Custom Search configs. Developers hook on the zero-cost, self-hosted web search that scales for ask searching questions in agent workflows.

Who should use this?

AI agent builders running OpenClaw or Claude Code on local servers, needing private web access for research tasks. Self-hosted web scraper devs or GitHub Codespaces tinkerers integrating search into pipelines. Anyone crafting ask search knock meaning queries or news hunts without cloud dependencies.

Verdict

Worth a spin for self-hosted AI setups—excellent README and one-liner install shine, but 17 stars and 1.0% credibility score flag it as early-stage with untested edges. Test with your SearxNG first; proxies help for deep fetches.

(187 words)

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