AI agent frameworks
Parts, in publishing order
- Composing the future, part 1: agent basics, LangGraph and Autogen
What makes a system agentic, why multi-agent beats single-agent, how orchestration works, and a close look at LangGraph and Microsoft Autogen.
- Composing the future, part 2: OpenAI's agent tools, MCP and fast-agent
How OpenAI's Swarm and newer agent tools work, why Model Context Protocol matters for tool access, and how fast-agent builds MCP-native agents.
- Composing the future, part 3: Mastra and CrewAI
Two frameworks with opposite instincts: Mastra for TypeScript teams building web-native agents, and CrewAI for role-playing crews of Python agents.
- Composing the future, part 4: LlamaIndex and the framework face-off
LlamaIndex's agent features for document-heavy work, then a side-by-side comparison of the frameworks on differentiators, strengths and ease of development.
- Composing the future, part 5: agent patterns, open problems and how to choose
The common agent composition patterns, the problems that remain unsolved, where the field is heading, and guidance for picking a framework.