Anything’s Skydive turns AI agents into full‑time “coworkers” with their own cloud machines

What changed: Anything has launched Skydive, a platform that lets anyone in a company create and deploy AI agents with a defined name, role, and dedicated cloud computer. These agents can use the team’s tools—including a browser, file system, and terminal—and operate across Slack, email, iMessage, desktop, and the web, carrying work from request to completion even when human laptops are closed. Skydive moves out of closed beta, where it has been tested with more than 20 companies, and is now available to the public. Pricing is based on the models and compute the agents use, with unlimited agents included, no seat licenses, and no markup on model costs; Team and Enterprise plans add central administration and security controls.

Why it matters: Skydive lowers the barrier for non‑technical staff to spin up task‑specific AI coworkers that live alongside human teams, rather than being confined to a single chat window. The combination of unlimited agents and per‑compute pricing encourages experimentation with many narrow agents, while the dedicated cloud computer per agent raises both capability and risk by granting broad tool access.

Try/watch: Start with a few agents focused on well‑scoped workflows—like inbox triage or reporting—and enforce strong access controls and audit trails before allowing agents to touch customer data or financial systems.

Binance’s Agent OS wires AI agents directly into trading, wallets, and payments

What changed: Binance has launched Agent OS, a platform that lets AI agents place trades, move funds, and query account data directly through its exchange infrastructure. Agent OS connects to tools such as ChatGPT, Claude Code, Codex, and Cursor via the Model Context Protocol (MCP), an open standard that lets compatible AI applications call external services in a structured way. Binance built Agent OS on its trading APIs, a “Wallet Agentic Hub” for on‑chain transactions, its x402 payment system, and a library of pre‑built skills for trading, payments, and portfolio management. The company caps some transaction types by dollar amount but imposes no limits on spot or futures trade sizes, and it says it cannot see the reasoning behind an agent’s trades, only the resulting actions. The launch follows similar agent‑trading offerings from other crypto exchanges earlier in the year, creating a crowded market for fully autonomous trading agents.

Why it matters: Agent OS gives algorithmic traders and fintech builders a direct path to deploy AI agents that control real money, significantly raising both opportunity and risk. MCP support means builders can plug existing AI tools into Binance’s trading and wallet stack without custom integrations, but the lack of insight into agent reasoning makes governance and risk controls essential.

Try/watch: If experimenting with Agent OS, enforce strict position limits, segregated test accounts, and real‑time monitoring, and require human approval for any agent strategy that can move meaningful capital or tap broad payment capabilities.