The State of AI Agent Platforms in 2025: Comparative Analysis
Summary
This comparative analysis evaluates the state of AI agent platforms in 2025, explaining agent definitions, single- and multi-agent models, and vertical, horizontal, and hybrid architectures. It reviews leading frameworks — LangGraph, LlamaIndex, CrewAI, Microsoft Semantic Kernel, AutoGen, Gumloop, Relay, and OpenAI Swarm — and highlights their core features, strengths, and limitations. It contrasts no-code, visual-first tools for rapid prototyping with code-centric frameworks built for control, scalability, and production use, and lists practical selection criteria like business needs, integrations, and pilot testing. It recommends choosing platforms based on complexity, integration requirements, and clear objectives to ensure scalability, observability, and reliable agent behavior.
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