Product Releases

Announcing: Transparent Proxy for Runloop Tunnels

Using Runloop as the silent backend for sandbox-driven applications.

Working with Runloop's Axons: Introducing Remote Agent SDK

Runloop Launches Remote Agents SDK: An SDK for Working with Remotely Hosted Agents

Axons: Distributed Event Streams for Agents at Scale

Introducing Axons: Runloop’s secure, distributed event stream for scalable, multi-client agents with audit trails, structured state, and full suspend/resume.

Runloop 🤝 OpenAI Agents SDK Provider Integration

The OpenAI Agents SDK fixes an important part of this by giving developers a clean way to define agent behavior. You can structure reasoning, attach tools, and build workflows that actually resemble programs.

Unlock Agility with the Runloop Agent API

Discover the new Runloop Agent API. Learn how its pluggable, versioned design helps streamline your operations. Explore use cases & examples!

Wake on HTTP: Spin Up Agents On-Demand with Tunnels

Now you can run an agent, suspend the box, and wake it up again when you need it

Using RLI and Cloud Orchestration for Benchmarks on Runloop

Run & Compare Agents in one command

Cloud Benchmark Orchestration on Runloop

From Local Execution to Cloud Orchestration

Use MCP Fearlessly with MCP Hub

Protect Your API Keys and Reduce Context Window Bloat with MCP Hub

Protect API Keys with Agent Gateway

Runloop announces AI Gateway: a proxy to guard your secrets

Tunnels V2: Tunnel Ergonomics for 2026

Tunnels are now faster, simpler and more secure.

Safer Agents with Network Policies

This feature addresses a fundamental challenge: AI agents need controlled access to external resources. Network Policies make network access explicit, auditable, and enforceable—so teams can safely run agents, limit outbound traffic, and meet security and compliance requirements by default.