Agent Development Kit VS Open Agent Kit

Let’s have a side-by-side comparison of Agent Development Kit vs Open Agent Kit to find out which one is better. This software comparison between Agent Development Kit and Open Agent Kit is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Agent Development Kit or Open Agent Kit fits your business.

Agent Development Kit

Agent Development Kit
Build powerful AI agents with ADK! Code-first, modular, & integrates with Google tools. Take control of your agent development.

Open Agent Kit

Open Agent Kit
Build custom AI agents fast with Open Agent Kit! Open-source, flexible, & deployable anywhere. Connect LLMs & extend with plugins.

Agent Development Kit

Launched
Pricing Model Free
Starting Price
Tech used Fastly,GitHub Pages,Varnish
Tag Software Development

Open Agent Kit

Launched 2024-12
Pricing Model Free
Starting Price
Tech used Google Tag Manager,Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS
Tag Developer Tools,Chatbot Builder,App Builder

Agent Development Kit Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Open Agent Kit Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Agent Development Kit and Open Agent Kit, you can also consider the following products

AgentKit - AgentKit is a framework to build AI Agents, from single model inference calls to multi-agent systems that use tools. Designed with orchestration at its core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale.

OpenAI Agents SDK - OpenAI Agents SDK: Python for production AI apps. Build agents, tools, guardrails, tracing.

Genkit - Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase.

Kagent - Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.

More Alternatives