Agents 2.0: AI Agents that Can Learn (6 Learning Types that Make Memory Persistent)

Author(s): Divy Yadav Originally published on Towards AI. What if your AI actually remembered you? We call them AI agents. Personal assistants. Digital helpers. Photo by geminiThis article discusses the limitations of current AI agents, which typically do not learn from past interactions, and proposes a new paradigm, referred to as Agents 2.0, that would enable AI systems to remember and learn over time, enhancing their functionality and effectiveness. It argues that persistent learning will allow AI agents to adapt, improve, and build knowledge collaboratively among users instead of functioning as isolated tools that forget past context. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI