AI Launch Profile
Google launches Managed Agents in the Gemini API
Google launched Managed Agents in the Gemini API, allowing developers to run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and skills.
At a glance
Launch Snapshot
- Company
- Launch date
- May 19, 2026
- Launch type
- New Product
- Category
- AI Agents, AI Developer Tools, AI Infrastructure
- Audience
- Teams that want managed agent runtime, sandboxing, stateful sessions, code execution, web access, and Google-hosted infrastructure without building orchestration from scratch.
- Pricing
- Public preview in the Gemini API at launch; pricing depends on Gemini API, Interactions API, tools, and usage.
- Free plan
- No
- API
- Yes
- Open weights/source
- No
Launch Context
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Verification & Sources
- Status
- Verified
- Source links
- 2
- Freshness
- Needs recheck: verified June 8, 2026
- Last verified
- June 8, 2026
- Last updated
- June 11, 2026
Key source checks
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Kingy Launch Score
6.7 / 10 · Mixed
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 7.0/10 — The Google announcement plus the Gemini API agents documentation — two first-party sources. blog.google
- Product evidence 7.0/10 — A public-preview API capability with agents documentation and Google-hosted sandboxes. ai.google.dev
- Significance & novelty 6.5/10 — Agent runtime turned into an API primitive — secure Google-hosted Linux sandboxes running markdown-defined instructions and skills, lowering the infrastructure burden for agent builders. blog.google
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.0/10 — A public preview in the Gemini API at launch; pricing depends on the Gemini API, Interactions API, tools, and usage. ai.google.dev
Evidence checked 2026-07-10
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Kingy AI Take
Google launched Managed Agents in the Gemini API, letting developers run Antigravity or custom agents in secure Google-hosted Linux sandboxes using markdown-defined instructions and skills (blog.google). Developers and AI Platform Teams get agent runtime as an API primitive — managed sandboxes and stateful sessions instead of self-built orchestration. It shipped as a public preview, so sandbox limits, pricing, and enterprise governance need close evaluation before a production dependency.
Who it is for
Teams that want managed agent runtime, sandboxing, stateful sessions, code execution, web access, and Google-hosted infrastructure without building orchestration from scratch.
Source-backed record