Textus
The next-generation Markdown editor and knowledge tool, made for writing with AI. Free and open source for macOS, Windows, Linux, iPhone and iPad.
Runssource: GitHubTypeScriptMITcommit 6786182e72dc
TypeScript, MIT licensed. The project labels itself: ai, ai markdown editor, ai writing, ios, knowledge management, linux, macos and markdown.
Textus runs. An Argusic agent installed it in 1.5 minutes and hit 6 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Under Node v22.23.4 and Rust 1.99.1, the repository's npm install, frontend build, full npm run check, and aicompat Rust tests all pass; the published AppImage launches a Textus window on DISPLAY=:99, and a typed Markdown document renders and serializes correctly in Playwright Chromium.
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 58 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page. 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.
- npm run setup:e2e initially could not start Vite: EMFILE: too many open files, watch '/work/repo/vite.katex-fonts.ts' (repeated twice, including on a fresh port).6 minutes
- Container shipped Node v18.19.1, but the project requires Node >=22; npm install emitted dozens of EBADENGINE warnings and installed under the wrong runtime.4 minutes
- npm run check:native failed compiling glib-sys: Package glib-2.0 was not found in the pkg-config search path.4 minutes
- The published Linux tarball binary exited 127 before startup: libwebkit2gtk-4.1.so.0: cannot open shared object file.3 minutes
- The production frontend served from `vite preview` in a plain browser showed 'Something went wrong' with Cannot read properties of undefined (reading 'metadata'), because the Tauri IPC backend was absent.3 minutes
- DENIED: I attempted to delete temporary file /work/repo/vite.verify-no-watch.config.mjs, but the environment rejected my file deletion request.1 minute
- Install time
- 2 minutes
- Cold machine to finish
- 18 minutes
- Errors hit and fixed
- 6 hit, 6 fixed with no human help
- How the result was proved
- npm ci exited 0; npm run build exited 0; npm run check exited 0 (334 test files passed, 1 skipped; 3389 tests passed, 114 skipped); cargo test --all-targets in src-tauri/crates/aicompat exited 0 with 139 passed; Playwright Chromium against the no-watch dev server returned HTTP 200 and rendered an H1, bold text, and link from typed Markdown; the release AppImage ran on DISPLAY=:99 with a 800x600 'Untitled - Textus' window and WebKit processes; curl to vite preview returned status=200.
- Model tokens used
- 521,283
- Exact commit tested
- 6786182e72dc
- 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
Watch the session
The whole run, from a clean machine, at the speed it actually happened. Nothing is cut and nothing is sped up.
A recording of attempt 2, run , the attempt that decided the verdict above. The terminal recording it was made from is the evidence, stored with a sha256 fingerprint; the video is a rendering of it. Nothing loads from the video host until you press play.
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
dist/assets/cynefin-OW5HDTMX-Cs01RZMy.js 687.91 kB │ gzip: 154.14 kB dist/assets/index-FAL3L3B5.js 1,098.49 kB │ gzip: 360.11 kB (!) Some chunks are larger than 500 kB after minification. Consider: - Using dynamic import() to code-split the application - Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configurati… - Adjust chunk size limit for this warning via build.chunkSizeWarningLimit. ✓ built in 20.39s BUILD_EXIT=0 ELAPSED=50s --- git --- ## HEAD (no branch) tokens used 521,283
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 1.5 minutes, faster than the median of the 230 comparable projects Argusic has measured.
- Recovered from all 6 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 MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
Of the 231 ai projects Argusic has installed and timed, Textus was the 36th fastest to reach a running state, and 152 of 231 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 1.5 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 by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs | 100.00 | 0.26 | |
| Argusic Runner | 1/3 | Did not run | 16.00 | 0.76 |
Topics (from GitHub)
aiai-markdown-editorai-writingiosknowledge-managementlinuxmacosmarkdownmarkdown-editornote-takingnotion-alternativeobsidian-alternativeopen-sourceproductivityrusttauritypora-alternativewindowswritingwysiwyg
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/textus)Questions
- Does Textus run?
- Yes. Textus runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 6 errors on the way, and recorded the session.
- How did Argusic test Textus?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 6786182e72dc. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test Textus?
- The run that produced this verdict cost $0.26: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does Textus take to install?
- 1.5 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 Textus need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing Textus?
- 6 things broke in the recorded run, and 6 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does Textus compare with the alternatives?
- Of the 231 ai projects Argusic has installed and timed, Textus was the 36th fastest to reach a running state, and 152 of 231 reached one at all.
- Where is the evidence for Textus?
- All 2 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.