Sandboxes aren't enough. Give your agent a real computer and get back to building.
Computers for agents
Sandboxes aren't enough. Give your agent a real computer and get back to building.
Claude on Twitter / X
With self-hosted sandboxes, you can run agents in any environment you control: your own infrastructure, or managed providers like Cloudflare, Daytona, Modal, or Vercel. pic.twitter.com/OELUCt7QRf— Claude (@claudeai) May 19, 2026
Where Should the Agent(s) Live? – OpenComputer
Isolation models, agent placement tradeoffs, credential design, and sandbox lifecycle patterns for agentic systems.
Agent Plugins
A portable package format for reusable components that extend AI agents.
agentOS — A faster, lighter, cheaper alternative to sandboxes
A portable open-source operating system for agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, deploy anywhere.
A thousand ways to sandbox an agent
There are a thousand ways to sandbox an agent. Okay, I lied. There are three: simulated, containers, and microVMs. Here's when to use each.
The golden rules of agent-first product engineering
Five principles for building products that work well for AI agents and MCP servers.
Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
AI Agent Platform Reinvents Spam, Floods Inboxes Worldwide
iLands and its AI agents are doing completely useless tasks, then begging for money.
New tools for building agents
Building an Advanced Agentic Harness | Data For Science
From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.
New capabilities for building agents on the Anthropic API | Claude
Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.
Our newest project is taking flight: meet codename goose! 🪶 Today, we launched an open source on-machine AI Agent. It’s modular, works with your preferred LLM, and integrates seamlessly with developer tools and other software via MCP. Developers, check it out! block.github.io/goose/blog/2025/01/28/introdu…
Introducing codename goose
block.github.io