Understanding Agent Frameworks, Runtimes, and Harnesses in AI Development
The LangChain Blog dissected the roles of agent frameworks, runtimes, and harnesses in AI development, spotlighting LangChain, LangGraph, and DeepAgents. LangChain serves as an agent framework, offering abstractions to streamline application development while balancing flexibility for advanced use cases. Its 1.0 iteration introduces structured content blocks and middleware enhancements.
LangGraph emerges as a production-ready agent runtime, tackling infrastructure demands like durable execution and streaming support. The analysis underscores the interplay between these components, framing them as critical tools for modern AI development pipelines.