Wigolo is a web intelligence tool for AI agents that operates locally without requiring API keys or cloud services.
The tool solves the problem of giving AI agents reliable access to web information while maintaining privacy and avoiding per-query costs. It provides a unified interface for search, fetching, crawling, extraction, caching, similarity matching, and research tasks. The approach runs locally on the user's machine, downloading necessary browser engines and on-device models during initialization. It integrates with AI agents through the Model Context Protocol, REST endpoints, or as an embedded SDK, meaning it operates wherever the agent runs without sending data to external services.
Developers should choose this tool if they want their AI agents to access web information without incurring API costs or managing cloud dependencies. It suits projects where privacy is a concern or where agents need to perform frequent web operations. The tool works with multiple coding agents and frameworks including Claude Code, Cursor, LangChain, CrewAI, LlamaIndex, and self-hosted agent systems. Setup requires Node version 20 or higher and approximately 1.5 GB of disk space, with initialization handling the download of browser engines and models in a single command.
The project ships new features and updates on a steady cadence. The maintainer actively shares progress and development direction through social channels and maintains community engagement through a Discord server for questions and collaboration.
