Michaelliv

Michaelliv / pi-websearch

Public

🔍 Web search for pi — 12 providers, one tool. Pick what you need.

11
1
100% credibility
Found Mar 29, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A set of extensions that add web searching capabilities to the pi AI coding agent using various third-party search providers.

How It Works

1
🕵️ Hear about web search for your AI helper

While using your pi assistant for coding help, you learn about pi-websearch to let it look up info on the real web.

2
🚀 Add the web search feature

You pick the easy router or a favorite search service and add it to pi with a quick setup.

3
Choose your search path
🤖
Auto-picker

It finds and uses whatever search service you already have ready.

🎯
Specific service

Choose one like Brave for fresh results or Exa for smart matching.

4
🔗 Link up your search service

Connect a service so your assistant can fetch live web results securely.

5
✅ Everything is ready

Your pi now has a web search tool and shows a preview of how results will look.

6
🔍 Start searching

Ask your assistant something like 'find recent tips on baking bread' and watch it pull in real web info.

🎉 Your assistant explores the web

Now pi researches the internet for you, delivering summaries, links, and details to make your projects smarter and faster.

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Star Growth

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AI-Generated Review

What is pi-websearch?

pi-websearch packs 12 web search providers into one `web_search` tool for the pi coding agent, letting your AI handle queries via Brave, Exa, Tavily, Perplexity, or others with normalized results including titles, URLs, and snippets. Built in TypeScript, you install the router package with `pi install pi-websearch-router`, export any one API key like `PARALLEL_API_KEY`, and it auto-picks the best available engine—no more switching web search APIs mid-project. It solves the hassle of integrating fragmented web search engines into agents, delivering formatted markdown output ready for LLMs.

Why is it gaining traction?

The router's auto-detection hooks devs who just need one env var for instant web search agent capability, while specific providers unlock tweaks like Exa's date filters or Tavily's depth modes. Unlike bare web search APIs, it normalizes outputs across engines and renders neatly in pi's TUI, standing out for web github copilot chat or openai api integrations. Low-barrier install beats cobbling together serper or serpapi calls yourself.

Who should use this?

Pi agent builders needing reliable web search mcp server access for research tasks. Devs scripting web search app automations or enhancing github web ide workflows with real-time lookups. Teams evaluating web search api free tiers for copilot-like tools in github web editor projects.

Verdict

Grab it if you're on pi and need one versatile web search tool—clear docs and MIT license make setup painless, but 1.0% credibility score and 11 stars signal early maturity, so test for production stability first.

(198 words)

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