Context Atlas

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

59 followers

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

59 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.

Context Atlas Launches

Context AtlasFind answers you can verify on the page you’re reading

Launched on September 23rd, 2026

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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