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AI-Gateway vs adk-java
AI-Gateway logo
AI-Gateway
★ 931
vs
adk-java logo
adk-java
★ 1.6k

AI-Gateway vs adk-java

AI-Gateway: AI Gateway is an enterprise-grade gateway powered by Azure API Management for managing AI models, tools, and agents. It provides security, performance, observability, cost control, and extensibility. The project includes 30+ hands-on labs to help users deploy and manage AI gateway capabilities in Azure.; adk-java: The Agent Development Kit (ADK) for Java is an open-source, code-first toolkit designed for building, evaluating, and deploying sophisticated AI agents. It enables developers to define agent behavior, orchestration, and tool use directly in Java code for fine-grained control and robust integration with Google Cloud services.

01

TL;DR

AI-Gateway logoChoose AI-Gateway if…

Manage and control access to Large Language Models with enterprise-grade policies

adk-java logoChoose adk-java if…

Building advanced AI agents with fine-grained control over their behavior and orchestration.

02

Side-by-Side Comparison

Field
AI-Gateway logoAI-Gateway
adk-java logoadk-java
Category
Multi-Agent
Multi-Agent
Stars
★ 931
★ 1.6k
License
MIT
Apache-2.0
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
a2a, agents, apimanagement
Java, AI Agents, Agent Development
03

Features

AI-Gateway logoAI-Gateway
01Security with OAuth 2.0, managed identities, and content safety filtering
02Performance with load balancing, semantic caching, and request routing
03Observability with token metrics, built-in logging, and tracing
04Cost control with rate limiting, quota management, and FinOps framework
05Extensibility with MCP protocol support, function calling, and multi-model routing
adk-java logoadk-java
01Rich Tool Ecosystem for diverse agent capabilities and Google ecosystem integration
02Code-First Development for defining agent logic, tools, and orchestration in Java
03Modular Multi-Agent Systems for designing scalable applications with specialized agents
04Built-in Development UI for testing, evaluating, debugging, and showcasing agents
05Integration with A2A protocol for remote agent-to-agent communication
04

Use Cases

AI-Gateway logoAI-Gateway
↳Manage and control access to Large Language Models with enterprise-grade policies
↳Enable secure tool access with MCP protocol and function calling
↳Build and control agentic applications with orchestration frameworks
adk-java logoadk-java
↳Building advanced AI agents with fine-grained control over their behavior and orchestration.
↳Integrating AI agents tightly with existing services, especially within Google Cloud.
↳Designing and deploying scalable, modular multi-agent systems for complex tasks.
05

Best For

AI-Gateway logoAI-Gateway
LLM InfraAPI Integration
adk-java logoadk-java
TrendingEssential
FAQ

FAQ

What is the difference between AI-Gateway and adk-java?
Both AI-Gateway and adk-java are in the Multi-Agent category. AI-Gateway has 931 stars, while adk-java has 1.6k stars.
Which is better, AI-Gateway or adk-java?
The best choice depends on your use case. Choose AI-Gateway if Manage and control access to Large Language Models with enterprise-grade policies, and adk-java if Building advanced AI agents with fine-grained control over their behavior and orchestration..
Is AI-Gateway free or open source?
Yes, AI-Gateway is open source on GitHub (MIT).
Is adk-java free or open source?
Yes, adk-java is open source on GitHub (Apache-2.0).
→

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Alternatives to AI-Gateway →Alternatives to adk-java →AI-Gateway details →adk-java details →
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