AI agents that respond to ambient signals, minimizing user interaction overhead

Ambient Agents are AI assistants developed by LangChain that operate in the background, responding to ambient signals rather than relying solely on user-initiated interactions. These agents are designed to overcome limitations of traditional chatbots by allowing multiple agents to run simultaneously and interact with users only when necessary. They utilize human-in-the-loop patterns for notifications, questions, and reviews, enhancing user trust and long-term learning