Full-stack managed platform for building, deploying, and governing AI agents on Google Cloud
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Plugin System Custom Tools MCP Protocol Visual Builder API Server Cloud Hosted
Community Feedback
Strengths
- Deep Gemini integration
- Managed infrastructure
- Visual designer (Agent Designer)
- Enterprise support
- Memory Bank for long-term memory
Weaknesses
- Google Cloud vendor lock-in
- Opaque pricing
- Less community-driven than open-source alternatives
Vertex AI Agent Builder Details
| Organization | |
| Organization Type | Company |
| Funding | Public |
| Category | Platform |
| Subcategory | Orchestration |
| Deployment | Cloud |
| Primary Language | Python |
| Runtime | Google Cloud managed |
| License | Apache-2.0 |
| Commercial Use | Permissive |
| Install Command | pip install google-adk |
| GitHub Stars | 18,600 |
| GitHub Forks | 3,100 |
| Maturity | Stable |
| Pricing Model | Usage based |
| Cost Model | usage-based |
| Community Size | Medium (18.6k ADK stars) |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | Gemini, other models via API |
| API Keys Required | Google Cloud API key |
Use Cases
- Enterprise AI agent development
- Production agent deployment on Google Cloud
- Visual agent design and prototyping
- Governed AI agent workflows
When to Use
Best for: Enterprise teams on Google Cloud building production AI agents
Avoid when: Multi-cloud or self-hosting required
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a