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通过提供可组合、状态化的沙盒环境，解决了AI代理对动态计算资源的需求，其技术架构支持从零到10万CPU的弹性扩展，并成为AI基础设施的关键组件。

GitHub 宣布 2026 年维护者月，直面 AI 时代下开源维护者的新压力，推出细粒度贡献控制、PR 归档等工具，并联合 Sentry 等伙伴提供真实资源支持。

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。