Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
Site: brnyxx.github.io/jev-ra replays a real recorded run and explains the pipeline.
A fast browser-use layer for CLI coding agents. Claude Code, Codex, or any MCP client hands jev-ra a goal. TypeSafe Jev, a System One decision model, picks the operation and the target element for every step in one round trip. Your agent plans, supplies the text values, reads what the page says, and takes over when jev-ra escalates. No second LLM runs inside the loop.
task browser-use 0.13.10 + gemini-3-flash flashmode jev-ra ------------ Wikipedia: open the Gödel incompleteness article 23,058 ms 2,714 ms 8.50× Google Flights ZRH→LON one-way, results on screen 66,414 ms 8,888 ms 7.47× Olive Young category: sort by 신상품순 15,071 ms 3,806 ms 3.96×
Measured 2026-09-18 on one machine and one dedicated Chrome, both tools through OpenRouter. jev-ra is the median of 5 runs; browser-use is its single recorded run, which was faster than its own 5-run median on every task. Each jev-ra run was verified against the final page; 25 of 25 passed with no text-model calls. Method, p90, cost and raw rows.
No Python setup? npx -y jev-ra install claude does the same thing through the npm launcher. The npm package is a launcher only: it finds uv, offers to install it, and runs the PyPI package pinned to its own version.
There is no install step either way: uvx runs jev-ra straight from PyPI and registers uvx jev-ra mcp as the server command. For a permanent copy, uv tool install jev-ra. The key is forwarded from the variable you already exported and is never printed.
From the project README.
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