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LangChain Academy has announced a new module in its 'Introduction to LangGraph' course, focusing on mastering long-term memory for AI agents. This module will teach users how to save and retrieve memory using the LangGraph Memory Store and build chatbots that utilize both short- and long-term memory. The updated course, led by expert RLanceMartin, includes over 25 videos and notebooks, and is available for free as an open-source resource. The importance of memory in advanced AI agents is emphasized, as the course aims to enhance developers' capabilities in creating more precise and controlled agentic workflows.
Introduction to LangGraph Learn the basics of LangGraph - our framework for building agentic and multi-agent applications. Separate from the LangChain package, LangGraph helps developers add better precision and control into agentic workflows. https://t.co/gw18mWKiZt
Memory is becoming increasingly important as agents get more advanced. In @LangChainAI Academy's (our free education platform) newest course, @RLanceMartin dives deep into how to implement memory solutions in LangGraph! Free course: https://t.co/HBPr1FfdtP Code:… https://t.co/89WLt2Cw9M
Building Agents w/ Memory: Free Course If you're interested in agents, have a look at this course. > 25 videos & notebooks (free + open source)! Our newest module builds an agent (task_mAIstro) that uses long-term memory to track + manage your ToDos. --- Context Back in… https://t.co/o3zBm50UBI
