We’ve added agent runtime support for Kimi Code from @Kimi_Moonshot.
Spin it up in under a minute with zero setup, just bring your API key.
Especially impressed by its game-building capabilities.
Yes, we are hiring!
We are building the execution layer for next billions of agents, and we are looking for high-agency engineers:
Core Runtime (kernel-and-VMM-layer)
Cloud Infra (IaC and multi cloud)
Product Engineering (Agent Experience and DX)
Small team. High talent density. High ownership.
Apply here:
runta.com/careers/
Just posted a new list of open roles / startups hiring right now - curated by our team at @a16z !
This week featuring @guanlan (just raised $20M seed for Runta), @simon_mo_ (recently raised $150M seed for Inferact), @RussTedrake (just raised $300M seed for Walden Robotics),
Runta founder, Guanlan Dai on why every current AI safety approach is happening at the wrong layer:
"Our existing infrastructure is mostly building for governing software. Software is something you can govern and constrain when writing. But agents are different. Agents are probabilistic. Whenever an agent makes a decision, it may make it on the fly, so the traditional way to govern software is no longer valid."
"GPU and LLM convert watts into tokens, and Runta helps you convert the token to production value."
"On the gateway level, or any of the in-between level, you only see the final result, final package. But you have no idea what exactly the agent is doing, why they are making this call, why they are building this package."
"Inside the agent they have gone through a lot of steps. They have done tool calls. They might use budgets. They might access production data. That's the piece that's actually missing."
"You cannot govern an agent here. You have to govern it underneath to see exactly what's going on at OS level."
@guanlan@runta
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.
We've been pushing existing compute tech into service for agents (VMs, containers, etc.). But none of it is really the right fit. Super excited to be working with @runta to take a fresh approach to the problem from one of the top systems teams on the planet.
a16z.com/announcement/i…
We're thrilled to lead Runta's seed round.
AI models have required rethinking the GPU stack. And now agents are doing the same thing for CPUs.
@runta is rebuilding the execution layer agents actually need - a computer that's extremely efficient, runs locally or in the cloud, with the security and policy controls to run agents safely in the enterprise. Or anywhere.
We've known @guanlan for nearly a decade, since his days leading Cloudflare's edge proxy and Kong's core proxy. @martin_casado is joining the board.
Congrats to Guanlan and the Runta team.
By @martin_casado@stuffyokodraws@appenz
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.
Huge congrats @guanlan on the public launch! Our team has been using Runta for some of our RL environment task rollouts thanks to the early access, great experience. Super bullish on what Guanlan and the team are building! On a personal note, I’m also so proud to be a humble angel. This is actually my first angel investment in my life!
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.
If you're trying to give agents real work and control is what's stopping you, apply for early access today.
Every new account starts with $50 in free credits, enough to run an agent for a month, with no credit card needed.
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.
ClawShell v0.2.0 is out.
The headline is support for @NousResearch’s Hermes Agent.
Our team kept coming back to Hermes for the same reason: it is stable, and it shows real self-improving behavior over time. So we added first-class support for it in ClawShell.
This release adds:
• Hermes Agent support
• MiniMax as a provider option
• /admin/stats with persistent runtime counters
• onboard-installed stats skill + weekly stats cron
• Bug fixes
ClawShell v0.1.1 is out.
We added email boundary protection.
Reason: one of our engineers asked what happens when an agent can read banking OTP emails. Fair question.
This release adds:
•Email credential isolation
•Allow / block lists for mailbox access
•OpenRouter support
•Bug fixes
If you’re running agents with real credentials, email is part of your attack surface whether you like it or not.
This is one step toward shrinking that surface.
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