Today we're announcing @runta's $20M seed, led by @a16z.
Software is constrained when you write it. Agents have to be constrained while they run.
Runta is the execution layer that controls what AI agents can actually do.
Runta 10/10/2026 is now available!
Resize on cold checkpoint restore. Restore a cold checkpoint with a different CPU and memory shape, so you can scale the runtime without rebuilding its environment.
Smoother runtime creation at scale. Improved batching, scheduling, and higher API limits help runtime creation stay responsive during bursts.
Simpler ChatGPT subscription setup. New runtimes use your account’s default model, while unavailable subscriptions stay hidden.
Pi 1.0 runs on Runta today.
Each agent gets its own machine: hands-on in a browser terminal, or headless over an API with live streaming, steering, and cancel. Pi never sees your real keys.
Our egress layer swaps in model and credentials on the way out.
FrontierHarness v1.1 is coming.
We're putting together an expert advisory group with maintainers of well-known coding-agent harnesses, plus related researchers from Stanford, Berkeley, and Caltech. A top-tier inference partner is also ready to sponsor the next eval runs.
In v1.1 we'll cover more models, more harnesses, and a more representative task set. Expect an order-of-magnitude jump in both run count and tokens used, so the harness × model picture gets clearer.
More soon.
Your agent doesn't need to escape the sandbox to leak your files.
It just needs to run curl.
We looked inside Grok Bot and Muse to answer one question: what happens after the injection lands?
Our take: command review isn't enough. The check belongs at the exit, run by something the agent can't turn off.
Want to be part of the FrontierHarness Eval initiative?
v1.0 covered 1 model × 12 harnesses. Next for v1.1: 5 models × 20 harness configurations.
Explore https://t.co/FJqPgbGyMj. Reply to this post and I’ll invite you to the channel. Feedback welcome!
One of our engineers built Errand, our open-source take on Grok Bot and Muse, and wrote up how it came together. One developer, one week.
The app is ~4k lines of TS. Every agent still gets its own machine with a shell, a browser, and a filesystem that survives between tasks. He never wrote a provisioner or an event log infra.
If you're about to build this layer yourself, that's what Runta is. Week one goes into your product instead of a provisioner.
I'd like to hear where you're stuck, if you're in the middle of it right now.
@abdolamunir Both of them looks great, Errand has the features that build-in from Runta Infra: the tracing, credential handling, networking policy, checkpoints and token saving.