OpenChamber

The deciding trait is that you stop choosing. Hand the same task to five models at once, let each work in its own checkout, then merge the best parts of what comes back into one session. It replaces a decision you were guessing at anyway with a comparison you can read, which is a genuinely different way to work.

It is also five times the tokens for one change, and you will feel that within a week. Pick it when the task is worth the redundancy. Pick a single agent for everything routine.

The preview channel is an ingestion path and it is not described as one. Text rendered by the application under development, including anything it fetched from elsewhere, arrives in the agent's context as an observation, and the agent has a shell and version control access on the host with nothing isolating either. Nobody demonstrates this failing. It fails against a page showing untrusted content.

What it does right is the diff walkthrough, which turns a large change into something a person will actually read rather than approve blind.

1. Evaluating the objective each turn rather than at the end is the correct placement, because the cheapest moment to notice divergence is immediately after it happens. 2. Three named exits, success, blockage and a ceiling, mean the loop cannot run forever by construction, which is more than most autonomous modes on this board can say.

2. What is not stated is how the goal check is performed or by what, and that component determines everything: a lenient check ends early and a strict one never ends. No measurement of either behaviour is published.

This is the fastest distribution on this page by a wide margin, and it was built in a year. That combination usually precedes either a funding round or an acquisition conversation, because installed reach is the one asset a large vendor cannot manufacture quickly. Nothing is monetised today, which means the interesting decisions are all ahead.

Moat: the installed base and the multi-device relay, which is switching cost disguised as convenience. Likely acquirer: whoever owns the agent underneath it. Position: use it, and expect a licence conversation within eighteen months.

Running it ourselves is the right shape and the pairing story is better than I expected, since the relay is encrypted end to end rather than proxied through a vendor. What follows from it is the problem: our repositories become reachable from personal handsets, paired by an engineer pointing a camera at a screen, with no directory sync and no way for me to revoke one device.

No console, no single sign-on, no audit export, and it does not run in a pipeline. Not yet: device enrolment has to be ours before this touches a production repository.

Permissive terms on something I run on my own machine is the baseline I want, and there is no account, no telemetry endpoint I have to find and disable, and no service that can be withdrawn. The fork survives the project, which at this level of popularity is worth stating.

Where it thins out is underneath. It does not speak to providers itself, so which models I can reach is a question for the agent it launches, my own weights are not a listed destination, and there is no protocol port for attaching the servers I run. A good shell around somebody else's engine.