Claude Code Agent SDK 0.2.0: Build Multi-Agent AI Systems with Sub-Agent Orchestration

What Is the Claude Code Agent SDK?

Anthropic has released Claude Code Agent SDK 0.2.0, an open-source developer toolkit for building AI agent systems with sub-agent orchestration. Released under the MIT license, it allows developers to create multi-agent workflows where a primary agent delegates specialized tasks to sub-agents — each with its own context, tools, and goals.

Why Is Sub-Agent Orchestration Important?

Single AI agents struggle with complex, multi-step tasks that require different expertise. Sub-agent orchestration lets you decompose problems: one agent handles code generation, another runs tests, a third reviews security. This mirrors how human engineering teams work, and it dramatically improves output quality for complex workflows.

How Do You Build with It?

The SDK provides a clean Python API for defining agents, assigning tools, and setting up communication channels. You define a primary agent that receives the user's request, breaks it into sub-tasks, spawns specialized sub-agents, and synthesizes their results. Built-in guardrails prevent agents from running too long or exceeding resource limits.

What Are the Best Use Cases?

The SDK excels at software development automation (write code → test → review), data pipeline orchestration (extract → transform → validate → load), and content production workflows (research → draft → edit → fact-check). Any multi-step process that benefits from specialization is a good candidate.

FAQ

Q: Is the SDK free? A: Yes, the SDK itself is MIT-licensed and free. You pay only for the underlying Claude API calls your agents make.

Q: Can sub-agents use different models? A: Yes. You can assign different Claude model tiers to different sub-agents — using Opus for complex reasoning and Haiku for simple classification tasks, optimizing cost.

Q: How is this different from LangGraph or CrewAI? A: The Claude Code Agent SDK is purpose-built for Claude models with deep integration into their capabilities. LangGraph and CrewAI are model-agnostic but require more setup for equivalent Claude-specific features.

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