Infrastructure and platforms for building and running AI agents.
Whether you're a solo developer, part of a team, or managing an enterprise stack, this collection covers tools at every price point and complexity level. Each tool has been reviewed for its core capabilities, integration options, and real-world performance.
No rankings, no bias. Tools are listed alphabetically — we don't rank or promote any tool over another. Every tool serves different needs, and the right choice depends on your specific workflow, budget, and requirements. We encourage you to explore each option and decide what fits you best.
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At a glance comparison of all 3 tools in this category.
Selecting the right agent infrastructure tool depends on several factors unique to your situation. Here's a framework to help you decide:
Crazy fast, open source infra for AI agents to access the internet.
About: Kernel is a agent infrastructure tool with a open source pricing model. It's particularly useful for productivity enhancement.
Library for building stateful, multi-actor applications with LLMs, built on top of LangChain.
About: LangGraph is a agent infrastructure tool with a open source pricing model. It's particularly useful for productivity enhancement.
SDK that integrates LLMs with existing code.
About: Semantic Kernel is a agent infrastructure tool with a open source pricing model. It's particularly useful for productivity enhancement.
Understanding the pricing landscape helps you budget effectively. Here's how the 3 tools break down by pricing tier:
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