Agentic AI is evolving with the introduction of “ambient agents,” a concept pioneered by LangChain. These AI systems run quietly in the background, constantly monitoring tasks like email management and social media interactions, and act based on user preferences and instructions. This shift allows users to focus on more complex tasks while the agents handle ...
Most AI applications today rely on traditional chat interfaces, which can be limiting and create unnecessary friction. At LangChain, we are exploring a new type of AI called ambient agents. These agents listen for important signals and only engage with users when needed, reducing the need for constant conversations. We introduced LangGraph to facilitate this ...
Many AI applications today rely on traditional chat interfaces, which can create extra work for users and limit their efficiency. At LangChain, we are exploring a new approach with “ambient agents” that respond to relevant signals and only seek user input when necessary. This design minimizes interruptions and allows multiple agents to operate at once. ...
