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ProtocolProduction ReadyMCPA2A
adk-go
by google
Go SDK for building, evaluating, and deploying multi-agent systems
Go
Updated Apr 3, 2026
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Overview
Provides a code-first Go toolkit to build, evaluate, and deploy AI agents with production-grade controls. Exposes SDK primitives for agent composition, message passing, and connector integrations (Vertex AI / Gemini) so teams can implement multi-agent workflows in Go. Includes evaluation hooks and telemetry points for monitoring agent behavior and lifecycle events.
Key Benefits
As agents become autonomous and communicate with one another, operators need toolkits that make composition, testing, and deployment observable and repeatable. adk-go brings agent patterns and evaluation hooks into a systems language, making it easier to instrument agent interactions and capture trust-relevant signals. That visibility is essential for building agent track records and feeding continuous A2A evaluation and governance workflows.
Target Use Cases
Go teams building production multi-agent systems who need strong integrations with Google Vertex AI and observability for agent interactions.
Applications
- Compose specialist agents in Go with Vertex AI backends and instrument their interactions
- Add evaluation hooks and logging for continuous A2A evaluation and agent track records
- Deploy production agent services with built-in lifecycle and telemetry integration
Topics
a2aagentsagents-sdkaiaiagentframeworkgeminigenaigollmmcp+4 more
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Keywords
multi-agent orchestrationa2aagent-sdkagent-evaluation