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KN

KnockOutEZ/wigolo

AI Agent

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

2.5k Stars147 Forks25 Open Issues2.5k WatchersTypeScriptNOASSERTION
InfrastructureAI AgentMCP ServerLLM ToolDeveloper Tool
Source and compliance noteLast synced: Jul 21, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

KnockOutEZ/wigolo is tracked as a TypeScript project in the Infrastructure, AI Agent, MCP Server, LLM Tool, Developer Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 2.5k total stars, with +689 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 1 days ago, and the open issue queue is 25, about 0.99% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 147 forks and 2.5k watchers suggest how often the project is reused or followed. License signal: NOASSERTION. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 689. Follow the original GitHub repository for final install, security, and release information.

Best For
  • AI prototypes, LLM workflows, and agent-style applications
  • developer workflow automation and command-line tooling
  • TypeScript teams evaluating ecosystem-native tooling
  • use cases where recent maintenance matters
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

2.5k Stars

Reuse

147 Forks

Attention

2.5k Watchers

Maintenance

active

License

NOASSERTION

Open issues

25

Overview

wigolo is a local-first web intelligence tool for AI agents that provides search, fetch, crawl, extract, cache, find-similar, research, and autonomous gather capabilities without requiring API keys or cloud services. It runs as an MCP server, REST endpoint, or embedded SDK, keeping all data local to the user's machine.

Key Features

- Keyless search, fetch, crawl, extract, cache, and find-similar tools with no API keys required - Local-first architecture with all data stored in ~/.wigolo/ and no cloud dependency - Supports multiple agent frameworks (Claude Code, Cursor, Codex, Gemini CLI, VS Code, Windsurf, Zed, LangChain, CrewAI, LlamaIndex, Vercel AI SDK, n8n, and any MCP client or plain REST)

Tool Positioning

Infrastructure

Cloud, deployment, networking, containers, and platform tooling

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

MCP Server

Model Context Protocol servers, clients, and integrations

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

Developer Tool

Tools that improve coding, testing, build, and local workflow

Quick Start
npx wigolo init
View on GitHub Project Homepage
Project Activity

83

Health Score

Active

Commit Activity

Apr 12, 2026

Created

Jul 20, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 21, 2026Jul 21, 2026
Community Health
147

Forks

25

Open

2.5k

Watchers

Owner
KN

KnockOutEZ

GitHub profile
Topics & Language
TypeScriptagentaiai-agentclaudeclideveloper-toolslocal-firstmcpmcp-servermetasearchmodel-context-protocolnodejsprivacyragsearchsearch-enginetypescriptweb-crawlerweb-scrapingweb-search
Ecosystem & Usage
GitHub Repository Project Website Search on npm
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License
NOASSERTION
CreatedApr 12, 2026
Last pushJul 20, 2026
Last syncedJul 21, 2026
Community Standards

✓

License

✓

Forked

✓ Active

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

It eliminates the need for API keys, cloud dependencies, and metered billing for web access in AI agents, enabling fully local, private, and cost-free web intelligence. This solves the problem of vendor lock-in, recurring costs, and data privacy concerns associated with cloud-based web search and fetch services.

Capabilities

Developers can build AI agents that autonomously search, fetch, crawl, extract, cache, and find similar web content, all running locally. Real-world use cases include coding assistants that research documentation, research agents that gather data from multiple sources, and self-hosted automation pipelines that need web intelligence without external API costs. The ceiling includes complex multi-step research loops and integration with any MCP-compatible agent framework.

Bottom Line

wigolo is ideal for developers who want private, cost-free web access for their AI agents without cloud dependencies. It is less suitable for those who prefer managed cloud services or lack the local resources (~1.5 GB disk). The key trade-off is full local control and zero cost versus the convenience of cloud-based APIs.

Full AI Analysis