Runloop
Persistent development sandboxes and benchmarks for coding agents
Runloop provides persistent development boxes for coding agents, with snapshots, branching, browser access, and suspend-resume lifecycle controls. Its API and SDKs also support benchmark and evaluation workloads that measure agents against reproducible software tasks.
Best for agent capabilities
Useful in agent tasks
Overview
When to use Runloop
Runloop is listed for Sandbox, Code Execution, Observability workflows. Runloop provides persistent development boxes for coding agents, with snapshots, branching, browser access, and suspend-resume lifecycle controls. Its API and SDKs also support benchmark and evaluation workloads that measure agents against reproducible software tasks. Consider it when an agent needs this capability through a documented service boundary instead of custom infrastructure maintained inside the application.
In 4agent's task model, the product maps to code execution, observability and evaluation. That makes it a candidate for workflows that build and deploy software, research the web, manage memory and knowledge, automate business workflows.
Integration checklist
- Access: confirm the api key authentication flow, credential scope, rotation process, and whether calls can be attributed to a user or service identity.
- Client support: official or documented clients are listed for typescript, python.
- Automation: OpenAPI is listed as available, MCP is not currently recorded, and CLI support is not currently recorded. Confirm each requirement in the provider's current documentation.
- Operations: test rate limits, timeouts, retry safety, error payloads, logs, data retention, and the current free-tier and paid pricing model with production-like volume.
Sources and verification
Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.