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Introducing programs in Slate The first way to actually engineer your agent orchestration: Fable + hoards of GLMs Deep Research + Kimi 2.7 Auto-research any task Design reusable components that combine to build your system Even bring your own subscriptions
83,367 görüntüleme • 2 ay önce •via X (Twitter)
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Omg this is amazing! 🔥

Thank you!!!

Hell. Yes.

Trust me. It rips. And because it works with any model You can actually just rip it with Kimi and GLM

Love it. Excited to see more

Reusable components for agent orchestration is the direction this space needed to go 🔧

Been needing to for a long time

Feels like the whole space is finally catching up to this idea

I feel like you would like using it, try it out, lmk how it goes $5 credits and you can use your codex sub npm i -g @randomlabs/slate

Definitely trying this out, curious how it feels in practice 🙌

oh hey I once met you at a potluck

Try it out: npm i -g @randomlabs/slate

Released today?

Yes sir A glorious day indeed

does the deep research component work with any glms or just kimi

Yeah works with any model You can run deep research with 5.2, deepseek, etc

fable plus hordes of GLMs sounds illegal but useful

It’s insane actually my velocity is through the roof npm i -g @randomlabs/slate

v cool. open source?

Not open source but works with your subscriptions and BYOK

calling it "engineering" when it's just picking models and gluing them together is a stretch. orchestration starts where that UI ends

Wrong I would have previously agreed, running a REPL for orchestration is not engineering A programmable runtime, with guarantees, namespaced memory, and an execution model is more like a VM With that, it allows you to write software and engineer actual systems Id argue engineering is mostly data modeling, system decomposition, and runtime tooling. This has the ability do all of it. The first actual way to author and engineer your system like normal software

fair point — a proper runtime with memory namespacing and guarantees is more legit than I gave credit for. what stack are you building on?

TS and everything basically built in house


