Hedera has launched a Python SDK for its Agent Kit, expanding access to blockchain-enabled AI development and complementing ...

I am trying to run a graph that uses the map-reduce pattern (with Send API) and a runtime context at the same time. This works perfectly fine when running the graph locally with graph.invoke(). The ...

What if you could build your own AI agent, one that operates entirely on your local machine, free from cloud dependencies and API costs? Imagine having complete control over your data, making sure ...

LangChain 1.0 focuses on refining the core agent loop, providing developers with greater flexibility through a new middleware concept, and upgrading model integrations. The framework is designed to ...

LangChain and LangGraph have reached their first major version milestones, introducing enhanced features for AI agent development and execution, according to the LangChain team. LangChain and ...

In this tutorial, we dive into the essence of Agentic AI by uniting LangChain, AutoGen, and Hugging Face into a single, fully functional framework that runs without paid APIs. We begin by setting up a ...

While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle with long and complex tasks because they lack the ability to plan ...

The emerging field of AI orchestration just got an additional boost of confidence with the alpha release of LangChain’s two flagship platforms, LangGraph and LangChain version 1.0. Graduating to a 1.0 ...

Hey LangChain community! LangGraph v1 alpha is out! We've released v1 alpha versions for langgraph, langchain, @langchain/core, and some key integrations packages like @langchain/openai and @langchain ...

Abstract: Preparing course syllabus is a time-intensive process that requires careful alignment with educational goals, learner backgrounds, and current technological trends. This paper presents a ...