Vertex AI becomes Gemini Enterprise Agent Platform: what changes for your company
Announced today at Google Cloud Next, Vertex AI has been absorbed into the Gemini Enterprise Agent Platform. Agent Runtime with sub-second cold start, persistent Memory Bank and code execution Sandbox arrive together. Zero disruption — but the roadmap is now different.
Fabiano Brito
CEO & Founder
Gemini Enterprise Agent Platform is the unified environment that merges Vertex AI with a new layer of agency tools for development, orchestration, DevOps, security, and governance. For enterprises, this transition is critical because all future updates and advanced features, including Agent Runtime, Memory Bank, and Sandbox, will be released exclusively on this platform.
What is the Gemini Enterprise Agent Platform
Agent Platform is not a brand new product — it is the unification of everything that existed in Vertex AI (model selection, Model Garden, Agent Builder, pipelines) with a new layer of agency tools: development, orchestration, DevOps, security and governance, all in a single interface.
⚡ Agent Runtime
Sub-second cold starts and new agent provisioning in seconds. Supports complex multi-step workflows and deep reasoning tasks requiring extended persistence.
- Cold start
- < 1 second
- Persistence
- Extended
🧠 Agent Memory Bank
Long-term memories curated from conversations. Memory Profiles offer high-accuracy recall with similarity search — context is never lost between sessions.
- Type
- Long-term
- Search
- Similarity
🔒 Agent Sandbox
Isolated and secure environment to execute model-generated code. Supports computer use tasks like browser automation — no risk to production environments.
- Isolation
- GKE Sandbox
- Computer use
- ✓ Browser
Vertex AI vs Agent Platform: what changed
| Capability | Vertex AI (before) | Agent Platform (now) |
|---|---|---|
| Model selection | Model Garden (200+ models) | Unified Model Garden + Gemini 3.1 Pro, Gemma 4, Claude |
| Agent development | Agent Builder (basic) | Agent Studio (low-code) + ADK (graph-based) |
| Execution | Standard serverless | Agent Runtime — sub-second, extended persistence |
| Memory | No cross-session memory | Memory Bank + Memory Profiles |
| Generated code | No native sandbox | Agent Sandbox — isolated and secure |
| Observability | Basic Cloud Logging | Agent Observability + Optimizer |
| Ready templates | — | Agent Garden: code modernization, financial analysis, invoice processing |
| Agentic security | — | Agent Gateway + Model Armor against prompt injection and data leakage |
| 3rd-party models | Via Model Garden | + Anthropic (Claude Opus/Sonnet/Haiku), MCP, AP2 |
The numbers Google disclosed
via ADK, Gemini models
Agent Runtime
Unified Model Garden
Customers already in production mentioned by Google: Color Health, Comcast, L’Oréal, PayPal, Burns & McDonnell, Geotab, Payhawk. These are agents running autonomously for days at a time, not just responding to one-off prompts.
What to do now — 4 practical steps
Your Vertex AI projects are already there. Go to console.cloud.google.com/agent-platform and explore the new Runtime, Memory Bank and Sandbox tabs.
Any support, service or process agent that today requires user "re-introduction" at each session is an immediate candidate for Memory Bank.
If your agent already generates and executes code (Python, SQL, scripts), moving to Sandbox eliminates security risks and simplifies compliance — without rewriting the logic.
Google provides pre-built agent templates — code modernization, financial analysis, economic research, invoice processing. Before building from scratch, check if an Agent Garden template solves 80% of your use case.
Vertex AI was the laboratory. Agent Platform is the factory. The difference isn't just a name — it's operational maturity.
Frequently Asked Questions sobre Vertex AI becomes Gemini Enterprise Agent Platform: what changes for your company
What is the Gemini Enterprise Agent Platform? The Agent Platform is the unification of Vertex AI with a new layer of tools for development, orchestration, DevOps, security, and governance of AI agents, all in a single interface.
What happens to my existing pipelines in Vertex AI? There is no immediate forced migration and your pipelines will continue to function.
What new features are available in the Gemini Enterprise Agent Platform? The new features include Agent Runtime (sub-second cold start), Memory Bank (persistent memory between sessions), and Sandbox (secure execution of model-generated code).
What is the Agent Runtime? The Agent Runtime offers sub-second cold starts and provisioning of new agents in seconds, supporting complex multi-step workflows and deep reasoning tasks with extended persistence.
Is your company ready for Agent Platform?
We help teams migrate Vertex AI workloads, implement Memory Bank in service agents and configure Sandbox for secure code execution — with auditable architecture and end-to-end support.