LangChain, the agent engineering company behind LangSmith and open-source frameworks that have surpassed 1 billion downloads, today announced a comprehensive integration with NVIDIA to deliver an ...
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 ...
Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — it is an orchestration layer that can recruit models, invoke tools, manage ...
AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...
LangChain co-founder and CEO Harrison Chase explains why harness engineering — not just smarter models — is what gets AI agents from prototype to production.
Imagine an AI assistant that doesn’t just follow instructions but learns from you—adapting to your preferences, refining its responses, and becoming better with every interaction. Sounds like a dream, ...
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