whodb

Where data access meets operational intelligence

Runssource: GitHubhomepageGoApache-2.0commit 173c80712883

Go, Apache-2.0 licensed. The project labels itself: ai agent, data catalog, data governance, data integration, data lineage, data pipeline, data platform and database management.

whodb runs. An Argusic agent installed it in 14 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

WhoDB backend and CLI binaries build and run, all core unit tests pass, and frontend compiles successfully.

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
$0.12 (measured)
recorded runs
3
last tested
stars
5,032
forks
240
open issues
35
watchers
20
size
54 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 whodb, 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.

  • Go 1.27 not installed; downloaded go1.27.1 tarball1 minute
  • Node.js 18 lacks required node:util styleText export; rolldown 1.2.3 needs Node >=211 minute
  • pnpm not available; installed via npm --prefix1 minute
  • @rolldown/binding-linux-x64-gnu missing in pnpm lock; vite/rolldown native binding not installed on initial npm+pnpm under Node 181 minute
Install time
14 minutes
Cold machine to finish
30 minutes
Errors hit and fixed
4 hit, 4 fixed with no human help
Model tokens used
106,858
Exact commit tested
173c80712883
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.

How the result was proved
runs before 2026-09-07 did not record the command used to check the result
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.

-rwxrwxr-x 1 runner runner 194M Sep  5 21:05 /work/repo/cli/whodb
=== Frontend build ===
/work/repo/frontend/build/index.html
=== Go version ===
warning: both GOPATH and GOROOT are the same directory (/home/runner/go); see https://go.dev/wiki/I…
go version go1.27.1 linux/amd64
=== Node version ===
v22.14.0
=== pnpm version ===
12.3.4
tokens used
106,858

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.
  • Recovered from all 4 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.
  • Measured 3 times, so the result is not a one-off.

What did not, or is not known

  • Took 14 minutes to install, slower than the median of the 11 comparable projects Argusic has measured.

Of the 12 ai-agent projects Argusic has installed and timed, whodb was the 9th fastest to reach a running state, and 9 of 12 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.

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 Runner1/3Runs100.000.12
Argusic Runner2/3Ran out of time0.000.22
Argusic Runner1/3Ran out of time0.000.13

Topics (from GitHub)

ai-agentdata-catalogdata-governancedata-integrationdata-lineagedata-pipelinedata-platformdatabase-managementer-diagraminternal-toolsmcp-servermodel-context-protocolmysqloraclepostgresqlself-hostedsql-editorsqlservertext-to-sqlvisual-query-builder

Embed the badge

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

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

Questions

Does whodb run?
Yes. whodb runs. Argusic installed and launched it on a clean machine in 14 minutes, hitting 4 errors on the way, and recorded the session.
How did Argusic test whodb?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 173c80712883. 3 attempts are recorded, and the full method is on the methodology page.
What did it cost to test whodb?
The run that produced this verdict cost $0.12: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does whodb take to install?
14 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 whodb need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing whodb?
4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does whodb compare with the alternatives?
Of the 12 ai-agent projects Argusic has installed and timed, whodb was the 9th fastest to reach a running state, and 9 of 12 reached one at all.
Where is the evidence for whodb?
All 3 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion