Deploy agents instantly with Agent Builder templates Introducing the Agent Builder Template Library: a collection of ready-to-deploy agents for common tasks, equipped with the tools you already use.
Building Multi-Agent Applications with Deep Agents Breaking down complex tasks across specialized agents is one of the most effective approaches to building capable AI systems. In this post, we'll show you how to build multi-agent systems with Deep Agents.
Now GA: LangSmith Agent Builder LangSmith Agent Builder is now generally available—enabling anyone to build agents for complex daily tasks, without writing code.
Semantic Search for LangGraph Memory Following our launch of long-term memory support, we're adding semantic search to LangGraph's BaseStore. Available today in the open source PostgresStore
Reflection Agents Reflection is a prompting strategy used to improve the quality and success rate of agents and similar AI systems. This post outlines how to build 3 reflection techniques using LangGraph, including implementations of Reflexion and Language Agent Tree Search.
Plan-and-Execute Agents Plan and execute agents promise faster, cheaper, and more performant task execution over previous agent designs. Learn how to build 3 types of planning agents in LangGraph in this post.
