Show HN: AI agent forgets user preferences every session. This fixes it (www.pref0.com)

A new AI tool called "pref0" has emerged to address a common issue in user-agent interactions: the inability of agents to remember user preferences across sessions. When users provide corrections, these tweaks often go forgotten once a session ends. pref0 aims to solve this by compounding user preferences over time, allowing agents to learn and recall these preferences, thus reducing the need for repeated corrections. By capturing real signals from conversations and increasing confidence scores based on the frequency of mentioned preferences, pref0 ensures that agents respond as if they already understand user specifications. This innovation is significant for the AI/ML community as it enhances the personalization of AI interactions, potentially leading to more efficient and user-friendly applications. With straightforward integration through APIs and compatibility with frameworks like LangChain and Vercel AI SDK, pref0 allows agents to recall structured user preferences automatically. As preferences are refined over multiple interactions, the agent's performance improves, resulting in fewer repeated corrections. This capability not only optimizes user experience but also facilitates onboarding for new team members by inheriting established conventions.