什么是 Daytona？

Daytona's Agent-Native Compute platform is designed for AI agents, offering ultra-fast sandboxes, high startup rates, and massive daily runs, making it ideal for reinforcement learning and evaluations. The platform has pivoted from human developer environments to focus on agent sandboxes, emphasizing bare metal performance and stateful snapshots. With RL workloads accounting for nearly half of its usage, Daytona is redefining the AI cloud landscape, potentially shifting it towards a model similar to Stripe rather than AWS.

Daytona addresses AI agents' dynamic compute needs through composable stateful sandboxes, with architecture supporting zero-to-100,000 CPU scalability, becoming a critical infrastructure component.

GitHub announces Maintainer Month 2026, addressing new pressures on open source maintainers in the AI era—launching granular contribution controls, PR archiving, and partnering with Sentry, OpenJS Foundation, and others to deliver tangible support.

LangSmith 现已支持 HarborFramework 的沙箱环境，可通过 pip 安装并使用 API 密钥进行认证。