0157GitHub

jev-ra

Browser use for coding agents, with Jev deciding each step in ~300 ms.

[](https://github.com/brnyxx/jev-ra/blob/main/docs/BENCHMARKS.md)

**English** · [한국어](https://github.com/brnyxx/jev-ra/blob/main/docs/i18n/README.ko.md) · [日本語](https://github.com/brnyxx/jev-ra/blob/main/docs/i18n/README.ja.md) · [简体中文](https://github.com/brnyxx/jev-ra/blob/main/docs/i18n/README.zh-CN.md)

**Site:** [brnyxx.github.io/jev-ra](https://brnyxx.github.io/jev-ra/) replays a real recorded run and explains the pipeline.

# jev-ra

**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 `flash_mode` | 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](https://github.com/brnyxx/jev-ra/blob/main/docs/BENCHMARKS.md).

## Quick start

**Claude Code**

```sh
export OPENROUTER_API_KEY=sk-or-...
uvx jev-ra install claude
# then, in Claude Code: "open wikipedia.org and find the Gödel incompleteness article"
```

**Codex**

``

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