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Agent Development Kit (ADK) vs Microsoft Agent Framework

These are the same kind of thing from two clouds: free, open-source code libraries for building LLM agents and multi-agent workflows. Google's ADK (Apache-2.0) leans toward Gemini and Google Cloud; Microsoft Agent Framework (MIT) is the successor to Semantic Kernel and AutoGen and leans toward Azure and Foundry. Both run anywhere and talk to other vendors' models, so the deciding factor is usually your language and which cloud you already pay for.

SDK vs ADK, since people ask

An SDK like Google's google-genai package is a client: it sends a prompt to a model and hands back the reply. ADK (Agent Development Kit) sits on top of it (google-genai is a core dependency of the Python package) and adds the agent parts: tools, sessions and memory, multi-agent composition, a local dev UI, evaluation, and deploy commands. Microsoft's framework plays the same role above its model clients.

Languages

ADK lists Python, TypeScript, Go, Java and Kotlin, each in its own repo. Python needs 3.11 or newer and installs with pip install google-adk. ADK 2.0 added graph workflows, and the TypeScript 2.0 release is marked GA.

Microsoft Agent Framework reached 1.0 for .NET and Python on 3 April 2026, with stable APIs for agents, middleware, memory, workflows and the sequential, concurrent, handoff, group chat and Magentic-One orchestrations. A Go version exists but is still in public preview. If your team writes C#, this is the one with a first-class answer; ADK has no .NET version.

Models and where it runs

ADK says it's optimized for Gemini, but its docs cover Claude, OpenAI, Ollama, vLLM and LiteLLM. You can deploy it to Docker, Cloud Run, GKE or Google's Agent Runtime, or run it on your own servers.

Microsoft's 1.0 post lists connectors for Foundry, Azure OpenAI, OpenAI, Anthropic, Amazon Bedrock, Gemini and Ollama. Its quickstarts assume a Foundry project and Azure credentials, and the Foundry hosted-agent pieces were still marked preview at 1.0. Both support MCP tools. ADK documents A2A quickstarts in four languages; Microsoft's post said A2A 1.0 support was coming soon.

If you're moving off Semantic Kernel or AutoGen, Microsoft publishes migration guides for both, which makes it the obvious path.

Agent Development Kit (ADK): Pick ADK if you're on Google Cloud or want Gemini as the default, and your team writes Python, TypeScript, Go, Java or Kotlin.

Microsoft Agent Framework: Pick Microsoft Agent Framework if you write C# or Python on Azure, or you're migrating existing Semantic Kernel or AutoGen code.

Facts checked Oct 18, 2026 against 6 sources

Which one should you try?

Agent Development Kit (ADK)

Free

Best for Developers building production-grade multi-agent systems with precise control

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Agent Development Kit (ADK)

Agent Development Kit (ADK)

ADK is the open-source agent development framework that lets you build, debug, and deploy reliable AI agents at enterprise scale.

Microsoft Agent Framework

Microsoft Agent Framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

AttributeAgent Development Kit (ADK)Microsoft Agent Framework
PricingFreeFree
Pricing checkedNot checked yetNot checked yet
Free trialNot statedNot stated
Open sourceYesYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsPython, TypeScript, Go, Java, KotlinPython, .NET (1.0 stable); Go (public preview)
LanguagesPython, TypeScript, Go, and JavaPython, C# (.NET)
Released2025-042025-10
Pros
  • Context is treated like source code with structured assembly of sessions, memory, tool outputs, and artifacts, automatic filtering of irrelevant events, summarization of older turns, lazy-loading of artifacts, and token usage tracking to keep agents fast, efficient, and reliable by default
  • Multi-language support with Python, TypeScript, Go, and Java implementations
  • Model-agnostic and compatible with other frameworks while optimized for Gemini
  • Built-in development UI for testing, evaluating, debugging, and showcasing agents
  • When deploying to Google Cloud, agents inherit managed infrastructure, built-in authentication, Cloud Trace observability, and enterprise-grade security without code changes
  • Unifies the enterprise-ready foundations of Semantic Kernel with the innovative orchestration of AutoGen
  • Full framework support for both Python and C#/.NET implementations with consistent APIs and built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
  • Open standards & interoperability — MCP, A2A, and OpenAPI ensure agents are portable and vendor-neutral
  • Supports integration with any API via OpenAPI, collaboration across runtimes with Agent2Agent (A2A), and dynamic tool connections using MCP
  • Enterprise readiness — built-in observability, approvals, security, and long-running durability
Cons
  • Optimized primarily for Google Cloud deployment and Gemini models, though model-agnostic capabilities exist
  • Development version builds directly from latest code commits may contain experimental changes or bugs not present in stable release
  • Public preview released October 1, 2025, with AutoGen and Semantic Kernel entering maintenance mode
  • Requires understanding of agentic AI concepts and orchestration patterns
  • Dependent on external model providers for LLM capabilities

Made up your mind?

Agent Development Kit (ADK)

Free

Best for Developers building production-grade multi-agent systems with precise control

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.