Scream Code

The deciding trait is the trace export. One command turns a whole session into a self-contained page you can open offline, which means the question of what the agent actually did stops being archaeology through scrollback. Anyone who has tried to reconstruct why a change happened three hours into a session will recognise what that is worth.

Everything else here is large, ambitious and rough at the edges. Pick it if you want the receipts. Pick a smaller agent if you want fewer moving parts.

Unlimited is a word that belongs in a bug report. Eight roles, each able to run in parallel and each optionally on its own model, with no stated ceiling on how many exist at once, is a fan-out whose cost and system load are decided by the model rather than by the user. Nothing described here detects two roles handing work back and forth.

There is no container underneath either, so every one of those workers runs commands on the host. What it does right is naming each role, which makes a transcript legible after the fact.

1. Putting assessment in a separate agent is the right structure, because a system asked to grade itself in the same context that produced the work has every reason to be satisfied. 2. The independence is organisational rather than statistical: the judge is a language model reading the same artefacts, so a mistake plausible enough to produce is often plausible enough to accept.

2. No measurement of judge agreement with human assessment is published, which is the one number that would justify the design. Retrieval and memory here are similarly described but not evaluated.

Four figures of weekly installs is genuine usage and the most interesting fact on this row, because it means people run this repeatedly rather than starring it and moving on. What sits behind that usage is one person and no entity, so the distribution exists and nothing can be built on top of it.

Moat: none; the feature list is long and every item is copyable. Likely acquirer: none at this size, though install numbers like these are how a maintainer gets recruited. Position: use it, watch whether a second contributor appears.

My security questionnaire asks where code goes, not where files are stored. Interfaces on the machine and memory kept on disk are good answers to the second question and no answer at all to the first, since inference reaches an external endpoint on every turn. I would need that distinction in writing before sixty engineers touched it.

Beyond that there is no console, no single sign-on, no directory sync, no audit export, and it does not run unattended, so it never becomes a stage in delivery. Not yet.

The provider count is absurd and I mean that admiringly: whatever endpoint I am experimenting with this month is probably already in there, and if it is not, the compatible option covers it. Protocol support means the servers I run become tools without me writing an adapter, and permissive terms keep the fork available.

The gap is the one that matters for a tool marketed on staying home. Weights on my own hardware are not a listed destination, so the most local thing about this is the file storage.