Google enters AI agent platform race with Antigravity, as runtime differentiation fades
By
Janakiram MSV
The bagel they save for the regulars. Don't skim, savour.
Summary
Google repositioned Antigravity as a platform for developing and managing teams of autonomous AI agents at its I/O conference. The platform allows developers to spin up remote Linux sandboxes where agents can reason, call tools, run code, and browse the web via a single API call. Extending agents is done through AGENTS.md and SKILL.md files without needing orchestration code. The article notes that Google, Anthropic, and AWS all shipped managed AI agent runtimes within six weeks, suggesting the runtime itself is no longer the differentiating factor for developers.
Key quotes
· 3 pulledOne API call to the Antigravity agent spins up a remote Linux sandbox where the agent reasons, calls tools, runs code, and browses the web.
You extend it by writing an AGENTS.md file and a SKILL.md file, register it as a named agent, and write no orchestration code.
Google, Anthropic, and AWS all shipped managed AI agent runtimes within six weeks, signaling the runtime is no longer the deciding factor for developers.
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