Overview

wigolo is your AI coding agent's ultimate web intelligence partner, offering local-first search, fetch, crawl, and research capabilities. Designed for seamless integration, it operates without API keys, cloud dependencies, or per-query costs, making it an exceptionally cost-effective and private solution. wigolo provides a durable surface for all web-related tasks, empowering your agent with direct access to information.

Key Features

• Local-First Operation: All data, cache, models, and configurations reside locally under ~/.wigolo/, ensuring privacy and offline accessibility.
• Zero Cost, No API Keys: Eliminates recurring costs and the hassle of managing API credentials for core functionalities.
• Comprehensive Web Intelligence: Offers a suite of tools including search, fetch, crawl, extract, cache, find-similar, research, and autonomous gather loops.
• Seamless Integration: Works out-of-the-box with popular AI coding environments like Claude Code, Cursor, Gemini CLI, VS Code, and frameworks like LangChain, CrewAI, and LlamaIndex. Also accessible via REST API and SDKs.
• Rich, Verifiable Output: Delivers verbatim excerpts with byte-exact provenance, citation IDs, and explainable per-result scores, allowing agents to understand the source and reliability of information.
• Intelligent Fetching: Employs a tiered router that escalates from plain HTTP to a headless browser engine to overcome anti-bot challenges and render SPAs.
• Autonomous Agent Capabilities: Enables research and agent tools for synthesizing cited reports or executing autonomous information gathering loops.
• Public Beta: Actively developed with community feedback, currently in public beta.

Typical Use Cases

• Enhance Coding Agents: Equip AI coding assistants with the ability to research complex topics, fetch documentation, and understand web-based context directly, all without external service costs.
• Streamline Information Gathering: Automate the process of collecting and synthesizing information from the web for research projects, content creation, or data analysis.
• Build Private AI Applications: Develop AI-powered applications where data privacy is paramount, leveraging wigolo's local-first architecture.
• Offline Research and Development: Conduct web research and data retrieval even without an active internet connection, utilizing the local cache.
• Cost-Effective LLM Integrations: Reduce operational costs for AI agents that frequently require web data, especially when using LLMs for synthesis.