Comment by kushagrchitkar
11 hours ago
Currently we don't allow for multiple model selection, but it is on the roadmap. We do have a cli, which allows you to use the wiki layer and the tools in whatever harness you prefer. Further, we want to allow users to also bring their own keys/subscription.
We do not have formal benchmarks to measure improvement in performance. A big reason is that most benchmarks are very "atomic facts memory" focused. They'd give a huge passage, conversations, and see which memory system could surface those facts. How we're different is agents could be simply given the markdown files, and they can pretty much get the perfect context themselves. Second, we are banking more on the fact that having this layer enables new capabilities of the models
> Currently we don't allow for multiple model selection, but it is on the roadmap.
Cool! What model does it use now? Enterprises will definitely want to know.
And the other big question: Why not just use Claude or Codex (via CLI on a desktop or droplet)?
Its GPT-5.6-terra under the hood. Also we want to control the harness. Features like proactivity/long tasks are not possible the way Claude/Codex work today. We do plan on releasing our desktop app, which would have these things inbuilt.