Join us and @agentemployees for an intense one-day in-person SF Codex Community hackathon, hosted by our friends from @Posthog in Dogpatch on August 29th.
Prizes include Codex credits, Runloop credits and a Mac Mini
Come ready to build, collaborate, and ship!
luma.com/qbp3ck7t?tk=9RjInI
Runloop Developer retweeted
This is Ditto.
It clones any website in less than 5 minutes.
Clean code w/ components, tokens, interactions, hover effects.
Free & open source. REST API and MCP server included.
Browser agents, hold the Chromium.
Runloop x @usekernel splits browser automation cleanly: agent in a Runloop devbox, browser on Kernel, driven server-side with Playwright.
Tutorial + Python/TypeScript cookbook in reply. #AIAgents #DevTools
A year of RL workloads on Runloop Devboxes, now open source as North Mini Code. Congrats @cohere on your first agentic coding model. This is what Runloop is built for: powering the next wave of AI. Excited for what comes next!
So excited to work with @trajectorylabs as a sandbox partner. They're bringing new ideas and flawless execution to the Continual Learning space and we can't wait to watch them go 🚀
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
Runloop Developer retweeted
Watched Runloop spin up a full dev environment in a minute, live on stage at Stripe Sessions.
Proud to be a launch partner for Stripe Projects, and even prouder of the team that made it real.
youtu.be/-R8E0pk30Bw
Runloop Developer retweeted
Vibedeploy with Stripe Projects, now available to everyone: projects.dev/.
Vibedeploy with Stripe Projects, now available to everyone: projects.dev/.
Introducing Axons: our new distributed event stream for running agents at scale. If you’re building long-lived, multi-client agent workflows, this is for you. Axons make agentic workflows durable, auditable, secure and cost-efficient: runloop.ai/blog/axon-release…
Shipping AI agents you can trust in production just got dramatically easier. Agents making autonomous decisions across real workflows need constant validation but running benchmarks used to take days, required constant oversight, and gave teams no structured way to compare results.
With Runloop's Benchmark Job Orchestration + Weights & Biases integration, thousands of parallel environments run in hours, not days, without tending, and give full trace-level visibility into every action and agent turn
Find out more in our docs 👇
Link to the Article: prnewswire.com/news-releases…
Agent capability without control is a liability.
Runloop's own Abigail breaks down the control architecture that lets you deploy agents that are powerful and safe without trading one for the other.
infoworld.com/article/416101…
Runloop now integrates with @weights_biases Weave for orchestrated agent benchmarks with full traceability.
Runloop runs thousands of agent tasks in parallel. @weave_wb turns the traces into something you can inspect and compare.
Joint report: wandb.ai/wandb_fc/genai-rese…
The demo in the joint report: Terminal-Bench 2, OpenCode as the agent harness, Gemini 3 Pro vs Claude Sonnet 4.6, 100 concurrent devboxes, full trace export to Weave, side-by-side comparison in one view.
Runloop handles the execution layer. Weave handles the observability and analysis layer. Together they turn one-off benchmark scripts into a continuous evaluation workflow.
Full report: wandb.ai/wandb_fc/genai-rese…