tech
April 17, 2026
The next evolution of the Agents SDK
The updated Agents SDK helps developers build agents that can inspect files, run commands, edit code, and work on long-horizon tasks within controlled sandbox environments.
TL;DR
- The updated Agents SDK enables developers to build AI agents capable of inspecting files, running commands, and editing code in controlled sandbox environments.
- New features include a model-native harness with configurable memory and sandbox-aware orchestration, along with native sandbox execution support for running agent work safely.
- The SDK offers standardized integrations with primitives like tool use (MCP), progressive disclosure (skills), custom instructions, and code execution (shell, apply patch).
- Developers can utilize built-in support for various sandbox providers or bring their own, with a Manifest abstraction for describing the agent's workspace.
- Separating harness from compute enhances security, durability (via snapshotting and rehydration), and scalability of agent systems.
- The new capabilities are initially launching in Python, with TypeScript support planned for a future release.
- Customers like Oscar Health have used the updated SDK to automate critical clinical records workflows.
Continue reading the original article