Wigolo - an open-source local search tool that supports integration with various programming agents.

What is Wigolo?

Wigolo is an open-source local search tool that integrates with programming agents such as Claude Code and Cursor via MCP. It requires no API key and allows for zero-cost local searching, web scraping, full-site crawling, structured data extraction, caching, and research. The tool supports parallel queries across 18 search engines, and results include interpretable scores and original text citations; all data is stored locally.

Wigolo's main functions

• searchIt calls 18 search engines in parallel and returns search results with interpretable scores through on-device ML reordering.
• fetchLayered routing for web page crawling, automatically upgrading from pure HTTP to a headless browser, intelligently dealing with anti-crawling measures and SPA pages.
• crawlSupports full-site crawling using BFS, DFS, and sitemap modes, adheres to robots.txt, and automatically removes duplicates.
• extractExtract structured data from the page, including tables, metadata, JSON-LD, and custom JSON schemas.
• cacheIt stores the crawled content in a local index, supports keyword and semantic search, provides millisecond-level response for repeated queries, and is available offline.
• find_similarBy integrating keywords, semantics, and real-time webpage data, it finds pages similar to the target URL or concept.
• researchIt automatically decomposes complex problems into subqueries, acquires resources in parallel, and then synthesizes a structured research report with cited sources.
• agentIt executes an autonomous collection cycle of "plan → search → acquire → extract → synthesize", with a step log and time budget.
• diff + watchMonitor changes to the page since the last visit and push the changes to the specified webhook.

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How to use Wigolo

• Environmental preparationEnsure that Node.js version 20 or above is installed locally.
• One-click installation:run npx wigolo init Automatically downloads browser engines and models, and integrates with agents such as Claude Code and Cursor.
• Health check:implement npx wigolo health Verify that the search, browser, and device models are functioning correctly.
• Optional LLM configurationFor research or agent functionality, set up a free Gemini API Key or a local Ollama model.
• Calling in AgentIn agents that support MCP, such as Claude Code and Cursor, you can directly invoke search and crawling tools using natural language.
• CLI direct useRun via command line npx wigolo search/fetch/crawl The specific operation is executed according to the instructions.
• Local cache reuseAll data is automatically stored ~/.wigolo/ The directory supports offline reuse and semantic search.

Wigolo's core advantages

• Local priorityAll searching, fetching, and caching are done locally, data does not leave the device, and it can be used normally even when the network is disconnected.
• Zero cost and zero thresholdNo account registration or API key required; every query is permanently free; and a single command is all you need to connect to mainstream agents.
• The results are fully explainable.Each search result includes a byte-level excerpt of the original text, citation ID, and rating breakdown, making the quality level immediately apparent.
• Multi-engine parallel searchSimultaneous queries from 18 search engines, combined with ranking fusion and on-device machine learning reordering, ensure comprehensive and accurate results.
• Intelligent hierarchical crawlingAutomatic upgrades from pure HTTP to TLS spoofing and headless browsers, honestly combating anti-scraping measures and clearly notifying users of any failures.
• persistent local cacheAll content is stored in a local hybrid index (keywords + semantic vectors), and repeated queries receive millisecond-level responses.

Wigolo's project address

• Project official website：https://knockoutez.github.io/wigolo/
• GitHub repository：https://github.com/KnockOutEZ/wigolo

Comparison of similar products from Wigolo

Application scenarios of Wigolo

• AI Programming AssistanceThe Agent automatically searches for the latest API documentation, official tutorials, and best practices while you are writing code, without requiring you to manually switch browsers.
• Technical research and competitor analysisThe Agent autonomously searches and crawls multiple technical blogs and documentation sites to generate a structured research report with citations.
• Full site data crawlingBatch crawl product catalogs, pricing information, academic papers, or news sites, and extract tabular and structured data to local storage.
• Local knowledge base constructionCache frequently accessed documents and web pages locally to create an offline, searchable knowledge base for individuals or teams.
• Page Change MonitoringContinuously monitor competitors' official websites, document update pages, or pricing pages, and automatically notify them via webhook when changes occur.