Agent frameworks are the libraries and conventions that structure modern AI agent development, including OpenClaw, AutoGen, CrewAI, LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, and Anthropic's MCP-based patterns. Each framework occupies a distinct position across capability ceiling, safety posture, multi-agent vs single-agent orientation, and operational integration. Articles cover the agent framework landscape, framework selection, architectural patterns, and operational guides.
The 2026 AI agent framework landscape has matured to the point where teams building autonomous agents in production have several genuinely distinct…
An AI agent development framework is a toolkit that handles the recurring machinery of building an AI agent so you do not…
Sakana AI launched a new product today, June 22, 2026, that takes a fundamentally different architectural approach to delivering frontier capability than…