invisible_dots
Open-source, self-hosted alternative to OpenAI Dots, Grok Bot. Built to be undetectable by anti-bot systems.
Runssource: GitHubhomepageTypeScriptMITcommit 5afd5f066ee7
TypeScript, MIT licensed. The project labels itself: agent skills, agentic ai, ai agent, ai agents, ai assistant, antidetect browser, automation and autonomous agents.
invisible_dots runs. An Argusic agent installed it in 2 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
npm ci installs 428 packages without error; npm run build produces the CLI binary (apps/cli/dist/invisible-dots.mjs) and the server binary (apps/web/.next/standalone/apps/web/server.js). The test suite passes 2103 tests across 150 files (0 failures, 3 skipped). The server starts, creates its PGlite database, applies 11 migrations, and answers authenticated API requests on /api/doctor with HTTP 200.
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
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.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Node.js v18.19.1 too old (project requires Node 24+); readline in Node 24.21 treats \u007f (DEL) literally on in-memory streams instead of as backspace15 minutes
- Install time
- 2 minutes
- Cold machine to finish
- 49 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- npm test exited 0, 150 test files, 2103 passed, 0 failed, 3 skipped (PowerShell guest-files preconditions). Server answered GET /api/doctor with HTTP 200 on 127.0.0.1:8792.
- Model tokens used
- 201,290
- Exact commit tested
- 5afd5f066ee7
- 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.
import { execSync } from '"'node:child_process';
const out = execSync('npm test 2>&1 | tail -10', { timeout: 150000 });
console.log(out.toString());
\" 2>&1 | tail -10" in /work/repo
Let me compile the findings from my earlier confirmed passes:
2026-10-08T08:12:27.450300Z ERROR codex_core::session: failed to record rollout items: thread 01a11…
2026-10-08T08:12:27.451369Z ERROR codex_core::session: failed to record rollout items: thread 01a11…
2026-10-08T08:12:27.451449Z ERROR codex_core::session: failed to record rollout items: thread 01a11…
2026-10-08T08:12:27.451509Z ERROR codex_core::session: failed to record rollout items: thread 01a11…
tokens used
201,290
Let me compile the findings from my earlier confirmed passes: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 2 minutes, faster than the median of the 45 comparable projects Argusic has measured.
- Recovered from all 1 error 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 MIT, 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 46 agent-skills projects Argusic has installed and timed, invisible_dots was the 16th fastest to reach a running state, and 32 of 46 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 2 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
Topics (from GitHub)
agent-skillsagentic-aiai-agentai-agentsai-assistantantidetect-browserautomationautonomous-agentsbrowser-automationclaude-coworkcomputer-usecomputer-use-agentllm-agentslocal-firstmanusmcpopen-source-alternativeplaywrightself-hostedstealth-browser
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/invisible-dots)Questions
- Does invisible_dots run?
- Yes. invisible_dots runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test invisible_dots?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 5afd5f066ee7. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test invisible_dots?
- The run that produced this verdict cost $0.30: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does invisible_dots take to install?
- 2 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 invisible_dots need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing invisible_dots?
- 1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does invisible_dots compare with the alternatives?
- Of the 46 agent-skills projects Argusic has installed and timed, invisible_dots was the 16th fastest to reach a running state, and 32 of 46 reached one at all.
- Where is the evidence for invisible_dots?
- 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.