monid
Monid - OpenRouter for agent tools. Join our community at https://discord.gg/rQzztcgJV8
Runssource: GitHubhomepageTypeScriptMITcommit b3e7b0c212e7
TypeScript, MIT licensed. The project labels itself: ai agents and developer tools.
monid runs. An Argusic agent installed it in 15 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
Deno 2.9.7 installed; all 1253 tests pass, lint and type-check clean, compiler produces a valid catalog of 32 providers and 473 endpoints.
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.
- Install time
- 15 minutes
- Cold machine to finish
- 15 minutes
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- deno task test exited 0, 1253 passed, 0 failed, 215 ignored
- Model tokens used
- 151,738
- Exact commit tested
- b3e7b0c212e7
- 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 1, 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.
**No errors encountered**. No third-party keys were needed — the entire test suite runs against syn… tokens used 151,738 Everything is fully operational. Here's the summary: **Install**: Deno 2.9.7 was downloaded and installed (it wasn't present in the container). Dependen… **Checks passing**: - `deno task check` — type-checked all 1787 files, 0 errors - `deno task lint` — passed, 0 issues - `deno task compiler:compile` — compiled 32 providers, 473 endpoints, 461 fn entries - `deno task test` — **1253 passed, 0 failed, 215 ignored** (10m58s) - `deno task catalog` — CLI help displayed, tool works **No errors encountered**. No third-party keys were needed — the entire test suite runs against syn…
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.
- Nothing broke on the way: zero errors between clone and running.
- 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
- Took 15 minutes to install, slower than the median of the 68 comparable projects Argusic has measured.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 69 ai-agents projects Argusic has installed and timed, monid was the 49th fastest to reach a running state, and 53 of 69 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.
- Following its own README: the documented path worked with nothing to fix.
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)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/monid)Questions
- Does monid run?
- Yes. monid runs. Argusic installed and launched it on a clean machine in 15 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test monid?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit b3e7b0c212e7. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test monid?
- The run that produced this verdict cost $0.05: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does monid take to install?
- 15 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 monid need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing monid?
- Nothing did, in the recorded run: zero errors between clone and running.
- How does monid compare with the alternatives?
- Of the 69 ai-agents projects Argusic has installed and timed, monid was the 49th fastest to reach a running state, and 53 of 69 reached one at all.
- Where is the evidence for monid?
- 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.