PixelRAG

https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/

Runssource: GitHubhomepagePythonApache-2.0commit aba824b3172c

Python, Apache-2.0 licensed. The project labels itself: agent, ai, memory, multimodal, rag, search, searchengine and vision.

PixelRAG runs. An Argusic agent installed it in 1 minute and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

pixelrag core installed from source via uv sync, all 106 core tests pass, the pixelshot CLI renders HTML files to valid JPEG screenshot tiles using auto-installed headless Chrome, and both CLI entry points (pixelshot, pixelrag) respond to --help.

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 100 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs
Argusic Score
100 / 100
cost of the verifying run
$0.02 (measured)
recorded runs
1
last tested
stars
10,102
forks
864
open issues
19
watchers
41
size
47 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 PixelRAG, 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.

  • Missing pytest - dev extra not installed1 minute
  • Missing zstandard - Chrome headless_shell extraction fails1 minute
Install time
1 minutes
Cold machine to finish
4 minutes
Errors hit and fixed
2 hit, 2 fixed with no human help
How the result was proved
uv run pytest tests/ -v exited 0, 106 passed, 5 skipped; pixelshot rendered HTML to disk and PIL verified tile_0000.jpg is 875x979 RGB JPEG; pixelshot --help and pixelrag --help both printed usage
Model tokens used
100,374
Exact commit tested
aba824b3172c
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

The end of the recording

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

All 106 tests pass, 5 skipped (tests requiring optional extras: faiss, serve, pdf). Let me compile …
The errors encountered:
- **Missing pytest** — dev extra needed `pytest` (fixed by `uv sync --extra dev`)
- **Missing zstandard** — the headless Chrome auto-install failed because `zstd` binary and `zstand…
Note on install_minutes: actual install time was well under 1 minute; the 5-minute total includes t…
tokens used
100,374
All 106 tests pass, 5 skipped (tests requiring optional extras: faiss, serve, pdf). Let me compile …
The errors encountered:
- **Missing pytest** — dev extra needed `pytest` (fixed by `uv sync --extra dev`)
- **Missing zstandard** — the headless Chrome auto-install failed because `zstd` binary and `zstand…
Note on install_minutes: actual install time was well under 1 minute; the 5-minute total includes t…

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

  • Reached a running state on a clean machine, with the session recorded.
  • Installed in 1 minute, faster than the median of the 46 comparable projects Argusic has measured.
  • Recovered from all 2 errors without a human stepping in, which says the failures are documented well enough to solve.
  • Ran without a GPU, so it does not need one to start.
  • Licensed Apache-2.0, as reported by its host.

What did not, or is not known

  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

Of the 47 agent projects Argusic has installed and timed, PixelRAG was the 7th fastest to reach a running state, and 34 of 47 reached one at all.

What it is a reasonable choice for

  • Trying it on a laptop or a small server: it reached a running state without a GPU.
  • A quick evaluation: it was running 1 minutes after the clone.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs100.000.02

Topics (from GitHub)

agentaimemorymultimodalragsearchsearchenginevisionvlm

Embed the badge

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

[![Tested by Argusic](https://argusic.com/badge/PixelRAG.svg)](https://argusic.com/subject/pixelrag)

Questions

Does PixelRAG run?
Yes. PixelRAG runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 2 errors on the way, and recorded the session.
How did Argusic test PixelRAG?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit aba824b3172c. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test PixelRAG?
The run that produced this verdict cost $0.02: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does PixelRAG take to install?
1 minute in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does PixelRAG need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing PixelRAG?
2 things broke in the recorded run, and 2 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does PixelRAG compare with the alternatives?
Of the 47 agent projects Argusic has installed and timed, PixelRAG was the 7th fastest to reach a running state, and 34 of 47 reached one at all.
Where is the evidence for PixelRAG?
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