Intercepting proxy for semantic search over visited pages

In plain words

This intercepting proxy enables semantic search across web pages a user has visited. It captures browsing history and allows users to search for content based on meaning rather than exact keyword matches. The tool is designed for people who want to revisit previously accessed information without remembering specific terms or URLs. It operates as a proxy that sits between the browser and the internet, indexing pages for searchable retrieval.

written from the facts on this page · September 2026

From the sources

A proxy that embeds every web page you visit and lets you run similarity searches. This is not a stand-alone program. It is a plugin for llm . If you are not using llm yet, install it with pipx first. llm install git+https://github.com/mlang/llm-embed-proxy To be able to run a local embedding model, you need to install the llm-sentence-transformers plugin and register/download a model. This step is optional if you happen to have an OpenAI API key and want to use their embedding endpoint. llm install llm-sentence-transformers llm sentence-transformers register Qwen/Qwen3-Embedding-0.6B Running llm embed-proxy --model sentence-transformers/Qwen/Qwen3-Embedding-0.6B Point your browser/system…from github.com

• IM
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• WS
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• AS
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