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You are probably building Multiplayer AI Wrong.
We are launching on YC to fix it.
MIT Open Source + Cloud hosted version available
useterse.ai/
Check out our repo!
github.com/TerseAI/durable-a…
Thomas Karatzas retweeted
Today we’re launching Hue (YC F26).
We give your agent a simulated version of the environment it works in, so you can test changes in realistic worlds and ship with confidence.
Thomas Karatzas retweeted
When @smehmood first demo’ed Niteshift to us, I didn’t get it at first. But just like with Modal, @_amankishore immediately saw where the future was headed.
I couldn’t be more excited for Aman and the Niteshift team to take us from the age of farming to the age of research.
We are also MIT open Source!
github.com/TerseAI/durable-a…
Thomas Karatzas retweeted
See you tomorrow at “Boost your app’s speed and efficiency”!
I’ll be talking about the SwiftUI Specialist skill for coding agents. Excited to meet you all!
developer.apple.com/events/v…
Thomas Karatzas retweeted
Today, we're launching Sentient OS (YC F26), on-device AI that understands your life overnight with a local LLM. This unlimited inference enables 2 magical experiences 🧵
Thomas Karatzas retweeted
Three months ago @ev_whitehouse and I set out to fix how agents get tested. Mocks aren't real enough and sandboxes don't scale.
Today we're launching Rystic (YC F26) : local copies of Slack, Stripe, S3 and the rest of your stack.
→ Save scenarios
→ Inject faults
→ Run at scale
Check it out below 👇
here is a durable, horizontally scalable coding agent platform.
Insane how easy it is once you have all of the right primitives. Sandboxes, pi, Durable Actors
Thomas Karatzas retweeted
Introducing Pomerado (YC F26): the faster, cheaper, and more reliable alternative to browser use.
Open source. Sign up for free to supercharge your agents 🧵
Check out our open source alternative!
github.com/TerseAI/durable-a…
Thomas Karatzas retweeted
Introducing Ready for Dev and Design Workflows in Doop.
Approve designs AI agents created, automatically translate them or get different sizes created in the same style.
All open source: github.com/kgoedecke/doop














