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adk-python
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adk-python

Active·★ 20.6k·Apache-2.0·Updated 2026-07-16
★ Most Popular★ Trending★ Essential

ADK (Agent Development Kit) is an open-source, code-first Python framework designed for building, evaluating, and deploying sophisticated AI agents with high flexibility and control. It simplifies the creation and orchestration of agent workflows, supporting everything from simple tasks to complex multi-agent systems, while being model and deployment agnostic.

adk-python is currently grouped under Multi-Agent, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Rich Tool Ecosystem and Building and deploying sophisticated AI agents from simple tasks to complex systems.. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 20.6k GitHub stars.

#AI Agents#Python#Framework#Multi-Agent Systems#Agent Development#Coding
$ Install
$ pip install google-adk
↗ Visit site★ GitHub
01

Features

01Rich Tool Ecosystem
02Code-First Development
03Agent Config
04Modular Multi-Agent Systems
05Deploy Anywhere
02

Why choose it

+Rich Tool Ecosystem
+Building and deploying sophisticated AI agents from simple tasks to complex systems.
+Covers 6 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Gemini
Optimized
Verified via docs
Vertex AI Agent Engine
Supported
Verified via docs
Cloud Run
Supported
Verified via docs
A2A Protocol
Integrated
Verified via docs
Any LLM
Model Agnostic
Verified via docs
Any Deployment Platform
Deployment Agnostic
Verified via docs
05

Quick start

1
$ pip install google-adk
06

Use cases

↳Building and deploying sophisticated AI agents from simple tasks to complex systems.
↳Orchestrating complex agent workflows with flexibility and control.
↳Designing and implementing scalable modular multi-agent systems.
07

How it compares

≈adk-python sits in the Multi-Agent category, so it makes more sense to evaluate it alongside tools like Microsoft AutoGen instead of in isolation.
≈If your main need is closer to "Building and deploying sophisticated AI agents from simple tasks to complex systems.", that use case is a better lens for comparison than broad feature checklists alone.
≈adk-python uses a Apache-2.0 license, and community traction are both easier to judge in category context.
08

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Related searches

adk-python AlternativesBest Multi-Agent Tools 2026Open Source Multi-Agentadk-python Tutorialadk-python Vs CompetitorsAI AgentsPythonFramework

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 20.6k
Last commit4d ago
StatusActive
LicenseApache-2.0
CategoryMulti-Agent
Trend (30d)
+0.8k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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