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Really impressive work! 🦜 @LangChainAI LangGraph JS now has multi-agent support 🚀 Reuse your graphs and subgraphs to rapidly build out any agentic endpoint for your App. The Studio makes local dev work on these graphs fun - this should be a great learn. https://t.co/svwMXaR6IC
Multi-agent support is live in LangGraph.js too 🦜🎉! Encapsulating your logic into different agents can help keep distraction manageable for an LLM, and makes testing and evaluation more granular. 🔨 Get out there and build! JS conceptual docs here: https://t.co/uzlaAMIn21 https://t.co/tl4GjSQW5m
multi agent architectures are pretty easily implemented via subgraph support in LangGraph we added improved support for subgraphs in LangGraph including studio support for subgraph, time travel, human in the loop https://t.co/4mpzc214Gs
LangGraph has introduced enhanced multi-agent support, allowing for better management of AI agents by encapsulating logic into different agents. This update aims to improve reliability by preventing information overload within a single agent. Key features include support for human-in-the-loop interactions, time travel capabilities, and improved subgraph support. The new functionalities are designed to facilitate the development and testing of AI applications, making it easier for developers to create and manage complex agent architectures. The enhancements were announced by multiple contributors, emphasizing the potential for more granular testing and evaluation of AI systems.
