LangChain: Multi-Agent Support in LangGraph

LangChain has just launched a new set of features for improved multi-agent support in LangGraph. This is a significant development, as it addresses the issue of unreliability that can arise when too many instructions and tools are crammed into a single agent.

The new features include support for human-in-the-loop, which allows for interrupts and time travel. This means that users can now intervene in the agent’s workflow to provide additional context or guidance, or to correct errors. Additionally, LangChain has introduced multi-agent support, which allows for the creation of more complex and sophisticated agents.

These new features are a major step forward for LangChain, and they make it easier than ever to build powerful and reliable AI agents.

Sources: Wikipedia, Developer’s Den, Undercode Ai & Community, Internet Archive, Langchainai
Image Source: OpenAI, Undercode AI DI v2