Google ADK vs Microsoft Agent Framework

Detailed side-by-side comparison to help you choose the right tool

Google ADK

πŸ”΄Developer

Agent framework

Google’s development kit for constructing, evaluating, and deploying modular AI agents.

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Starting Price

Free

Microsoft Agent Framework

πŸ”΄Developer

Agent framework

Microsoft’s framework for creating interoperable agents and graph-based AI workflows.

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Starting Price

Free

Feature Comparison

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FeatureGoogle ADKMicrosoft Agent Framework
CategoryAgent frameworkAgent framework
Pricing Plans4 tiers4 tiers
Starting PriceFreeFree
Key Features
  • β€’ Multi-language SDKs: Python 2.0 Beta, TypeScript 1.0, Go, and Java
  • β€’ LLM agents, sequential, parallel, loop, and custom workflow agents
  • β€’ Built-in evaluation framework with criteria, user simulation, and environment simulation
  • β€’ Agent orchestration
  • β€’ Workflow orchestration
  • β€’ Python SDK support

Google ADK - Pros & Cons

Pros

  • βœ“Code-first abstractions support versioning and testable agent behavior
  • βœ“Evaluation and deployment workflows address more than prompt prototyping
  • βœ“Natural fit for teams already using Gemini and Google Cloud

Cons

  • βœ—Requires software engineering skills and operational ownership
  • βœ—End-to-end cost depends on separate model and cloud services
  • βœ—Deep Google integration may reduce portability to other stacks

Microsoft Agent Framework - Pros & Cons

Pros

  • βœ“Workflow graphs can combine agent decisions with deterministic control
  • βœ“Enterprise connectors suit Microsoft-heavy organizations
  • βœ“MCP support can connect compatible external tool servers

Cons

  • βœ—Production cost spans several Azure or Microsoft services
  • βœ—The framework requires developers plus cloud operations expertise
  • βœ—Microsoft-centric architecture may be excessive for a small standalone agent

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