A software framework that provides the building blocks for creating, coordinating, and managing AI agents—including prompt management, tool integration, memory persistence, multi-agent coordination, error handling, and observability. Popular frameworks include LangGraph, CrewAI, AutoGen, Anthropic's Claude Agent SDK, and OpenAI's Agents SDK. These frameworks abstract common infrastructure patterns so developers focus on agent logic rather than plumbing.
Часто задаваемые вопросы
Which orchestration framework should I use?
For single-agent workflows with Claude: Claude Agent SDK—tight integration, minimal overhead. For multi-agent collaboration: CrewAI or AutoGen—designed for teams of specialized agents. For complex stateful workflows: LangGraph—graph-based execution with checkpointing. Start with the simplest framework that meets your needs.
Do I need a framework to build an AI agent?
No. Simple agents (single LLM call + tool use) can be built with direct API calls in 50-100 lines of code. Frameworks add value when you need: persistent memory across conversations, multi-step workflows with error recovery, coordination between multiple agents, or production observability.