Context Atlas

Find answers you can verify on the page you’re reading

57 followers

Find answers you can verify on the page you’re reading

57 followers

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Productivity

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Knowledge base software

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Context Atlas is a Chrome extension that helps you understand a webpage without losing the source. Ask a question and get ranked page matches, then jump to the exact words that support each result. Search locally in your browser with an on-device model or choose optional Cloud search. It is free, open source, and built for answers you can verify.

This is the 3rd launch from Context Atlas. View more

Context Atlas

Launching today

Find answers you can verify on the page you’re reading

Interactive

Free

Launch tags:Chrome Extensions•Open Source•Artificial Intelligence

Launch Team / Built With

Context Atlas

Maker

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Have you ever asked a question about a long webpage and received an answer without knowing where it came from? We built Context Atlas for that moment. Ask a question in your own words and it finds the passages that best match what you asked. Then it takes you back to the words on the page, so you can check the answer for yourself. Local search runs in the browser. The model downloads the first time you use it, and the page search stays on your device. Cloud search is optional when you want another search mode. The extension remembers your choice and keeps the same page connection either way. This is deliberately narrower than a general-purpose assistant. Browser Find is useful when you already know the exact word. Context Atlas helps when you know what you want to understand, but not the exact phrase used on the page. The extension is free to install, the source is public, and the Chrome Web Store listing is here: https://chromewebstore.google.co... We would love to hear where you would use it: research, product documentation, news, policy pages, or something else?

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4h ago

Previous Context Atlas Launches

OpenBrowser-AIWhat if AI talked directly to your browser? 59% fewer tokens

Launched on April 8th, 2026

OpenBrowser-AIConnect AI agents to browser through raw CDP

Launched on April 7th, 2026

Forum Threads

p/openbrowser-ai-59-less-100-accurate

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6mo ago

Same model, same tasks. 4 browser automation tools used wildly different amounts of tokens. Why?

I watched Claude read the same Wikipedia page 6 times to extract one fact. The answer was right there after the first read. But something about the tool interface kept making it look again.

That got me curious. If every browser automation tool can get the right answer, what actually determines how much it costs to get there?

So I ran a benchmark. 4 CLI browser automation tools. Same model (Claude Sonnet 4.6). Same 6 real-world tasks against live websites. Same single Bash tool wrapper. Randomized approach and task order. 3 runs each. 10,000-sample bootstrap confidence intervals.

The results (average tokens per task / wall time / tool calls):

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