
wigolo
About
Local-first web intelligence for AI agents: search, fetch, crawl, extract, cache, find-similar, research, and autonomous gather loops — no API keys, no metered bill. Serves agents via MCP, REST, and SDKs.
Our Verdict
Worth TryingA genuinely free, local-first web layer for agents — keyless search with honest output, still young and AGPL.
wigolo aims to be the local-first answer to Firecrawl, Exa, and Tavily: 18 search engine adapters with on-device reranking, tiered fetch with headless-browser escalation, structured extraction, and a persistent local cache — all keyless and $0 per query. The honest-output philosophy (surfacing blocked_by_challenge failures and stale cache instead of hiding them) is a genuinely refreshing design choice.\n\nConsiderations: it needs ~1.5 GB local disk, the AGPL-3.0 license restricts commercial embedding, and it is maintained by a single person in public beta. For developers and self-hosters who want a private, zero-cost web layer for their agents, wigolo is worth trying.
Best for
- •Developers and self-hosters who want a private, zero-cost web search/extraction layer for their AI agents, and value honest surfaced failures over opaque cloud APIs.
Consider alternatives if
- •If you need a managed cloud API with an SLA, or a permissive license for commercial embedding, compare with Firecrawl (open source core) or the metered Exa/Tavily APIs.
Supported Platforms
Available platforms include Windows, macOS, Linux, and API.
Key Features
Pricing
Use Cases
Pros
Cons
Latest Update
August 2026: wigolo continues steady development with 10 tools (search, fetch, crawl, extract, cache, find_similar, research, agent, diff, watch), multi-agent wiring (claude-code, cursor, codex, gemini-cli, opencode, vs-code, windsurf, zed, antigravity), REST API, and TypeScript/Python SDKs.
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