Google ADK
Open-source, code-first framework for building and deploying AI agents in Python, TypeScript, Go, Java and Kotlin.
How the 8.2 was reached
- Quality of output8/10
21,678 stars, 4,079 forks and an active Apache-2.0 repo pushed on 2026-09-29 show heavy adoption; 497 open issues is a normal load. github.com
- Ease of use8/10
One-line pip install and SDKs in Python, TypeScript, Go, Java and Kotlin; docs site exists. github.com
- Pricing value9/10
Free under Apache-2.0; only the model or hosting the user picks may cost extra. github.com
- API and integration quality8/10
Multi-language SDKs, OpenAPI and MCP tool support, and deployment to Cloud Run, GKE and Vertex AI. github.com
- Solves the problem it claims to solve8/10
Delivers a code-first agent framework, model-agnostic across Gemini and Claude; strong repo adoption backs it up. github.com
8.2/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- Apache-2.0 license
- Model or hosting costs depend on your choices
Key Features
- Graph-based execution with routing, fan-out/fan-in, loops, retry and nested workflows
- Pre-built tools, custom functions, OpenAPI specs and MCP tools
- Deployment to Cloud Run, GKE and Vertex AI Agent Engine
- Model-agnostic: works with Gemini, Claude and other LLMs
- SDKs in five languages
Pros & Cons
Pros
- Free under Apache-2.0
- One-line pip install
- Five language SDKs
- Large repo with 21,678 stars and 4,079 forks
Cons
- Code-first, so it asks for programming skill
- Model and hosting bills still apply
- 497 open issues at last count
- Deployment paths lean toward Google Cloud
A strong pick for developers who want to build agents in code and keep the choice of model. Teams that want a visual, no-code builder should look at other tools.
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