firish/webfetch
Runs locallyNo key neededOwn your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with query-dependant TTL that no API offers.
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- Reddit posts
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Python · MIT · last push 2026-07-23 · created 2026-04-20
GitHub stars, last 90 days
Does it work with local models?
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Reddit posts linking it
- Local web search for LLM agents that cuts tokens by 87% and cost by 66%r/LocalLLM · 2026-07-22
- Local web search for LLM agents that cuts tokens by 87% and cost by 66%r/ClaudeAI · 2026-07-21
In the official MCP registry
- io.github.firish/webfetchv0.1.3Runs locallyNo key needed
Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching
Packages: pypi webfetch-llm (stdio)