jev-ultrafast

Fastest and cheapest web agent

Runs with mockssource: GitHubhomepagePythonMITcommit 1231850a0bf1

Python, MIT licensed.

jev-ultrafast runs, with stand-ins for the services it depends on. An Argusic agent installed it in 9 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

uv sync installs cleanly, all 31 offline unit tests pass, all 21 browser guard checks pass against real Chromium 156, ruff lint is clean, JS syntax checks pass, uv build produces valid wheel/sdist, and the demo HTTP server starts and answers 200 on http://127.0.0.1:8766

What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.06 (measured)
recorded runs
1
last tested
stars
20,259
forks
1,373
open issues
137
watchers
51
size
4 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Time lost to each failure while testing jev-ultrafast, drawn from the recorded run
Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

  • browser-harness ensure_daemon() failed to detect running Chrome4 minutes
  • No Chromium browser found in container3 minutes
  • uv not found in PATH0.5 minutes
Install time
9 minutes
Cold machine to finish
8 minutes
Errors hit and fixed
3 hit, 3 fixed with no human help
How the result was proved
uv run pytest exited 0, 31 passed; scripts/check_guards.py exited 0, 21 browser guard checks passed against real Chromium 156 headless; ruff check . passed; node --check app.js && node --check snapshot.js passed; uv build built wheel and sdist; uv run jev started demo server, curl returned HTTP 200
Model tokens used
292,145
Exact commit tested
1231850a0bf1
Container image
sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory
this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run
each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
Behaviour against real services
this run was verified against stand-in services only

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

tokens used
292,145
Here's the final report:
**Summary of what was done:**
- Installed `uv` via `pip install --break-system-packages uv`
- Ran `uv sync` — resolved and installed all 22 dependencies cleanly
- Downloaded Chromium 156 snapshot (no system package available) so browser interaction could be te…
- Started Chrome with `--headless=new --no-sandbox --remote-debugging-port=9222` and the browser-ha…
- All 31 unit tests pass (offline, model APIs mocked)
- All 21 browser guard checks (`check_guards.py`) pass against real Chromium — exercises DOM snapsh…
- Demo server starts and returns HTTP 200
- Ruff lint, Node.js syntax checks, and `uv build` all pass

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

  • Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
  • Took 9 minutes to install, slower than the median of the 6 comparable projects Argusic has measured.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

Of the 7 Python projects Argusic has installed and timed, jev-ultrafast was the 7th fastest to reach a running state, and 4 of 7 reached one at all.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.06

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/jev-ultrafast.svg)](https://argusic.com/subject/jev-ultrafast)

Questions

Does jev-ultrafast run?
jev-ultrafast runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 9 minutes, hitting 3 errors on the way, and recorded the session.
How did Argusic test jev-ultrafast?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 1231850a0bf1. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test jev-ultrafast?
The run that produced this verdict cost $0.06: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does jev-ultrafast take to install?
9 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does jev-ultrafast need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing jev-ultrafast?
3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does jev-ultrafast compare with the alternatives?
Of the 7 Python projects Argusic has installed and timed, jev-ultrafast was the 7th fastest to reach a running state, and 4 of 7 reached one at all.
Where is the evidence for jev-ultrafast?
The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion