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…
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.
What the integration looks like in practice:
Runloop orchestrates concurrent devboxes, materializes deterministic inputs, isolates the scoring harness, exports structured traces.
Weave ingests those traces and provides tool call trees, error clusters, version comparisons, model leaderboards.
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…
Replying to @RunloopDev @OpenAIDevs
Building long-horizon agents for legal, finance, healthcare, or data analysis? Try Runloop today to modernize and secure your enterprise agent development process.
Watch YouTube Tutorial: youtu.be/NCmrpHezk3E
Get Started: platform.runloop.ai
Integration Guide: runloop.ai/blog/runloop-open…
OpenAI Agents SDK Guide: developers.openai.com/api/do…
Replying to @RunloopDev @OpenAIDevs
Another example: An agent analyzing financial data needs PostgreSQL. Install it, load 10GB of transactions, suspend overnight.
Resume in the morning and query the same database — all 10GB intact, all rows preserved.
Docker-in-Docker + root access included.
Replying to @RunloopDev @OpenAIDevs
We snapshot the entire sandbox filesystem and packages, files, and databases.
Use case: Your agent is 6 hours into a compliance audit. Pause overnight. All installed packages, files, and database data persist. Resume tomorrow and pick up exactly where you left off.
No re-runs. No lost progress.
AI agents need persistent environments so that they can install packages, process files, run for hours and pause when done.
Most cloud sandboxes lose state and are meant for ephemeral use. Runloop + @OpenAIDevs Agents SDK upgrades the basic sandbox experience.
Pause your agent. Resume later with all state, files and processing intact.
Now you can send your devbox to sleep and wake it up when you need it using wake on http for tunnels.
Suspend your agent devbox and have it wake instantly on incoming requests. Stable URL, fast cold starts, no paying for idle compute.
Perfect for webhooks, CI bots, and on-demand agents.
Read More:
runloop.ai/blog/tunnels-now-…
Runloop is excited to be a launch partner for the @stripe Projects developer preview 🚀
One command provisions a full Runloop account with devboxes ready for agents, full access to pro plan features, and real credentials in your environment. No dashboard and no copy-paste keys 🙅
Simply run:
$ stripe projects init my-app && stripe projects add runloop
Try it today: projects.dev/
Demo: youtu.be/89qkfRFWhy0









