Provides LLMs with real-time awareness of the current date, time, and conversational gaps.
Sponsored
Large Language Models often lack a sense of persistent time across multiple sessions, leading to awkward responses that assume immediate continuity. This server solves that problem by automatically feeding LLMs real-time information about the current date, time, and the duration since the user's last message. It helps LLMs understand when a conversation is a direct continuation or a new interaction after a significant gap, enabling more natural and contextually aware responses without requiring users to manually provide temporal context.
Características Principales
01Provides current date, time, and timezone to LLMs
02Calculates and communicates the time elapsed since the user's last message
03Offers natural language instructions for LLMs to adjust conversational tone
04Detects and categorizes conversational gaps (e.g., same session, next-day continuation)
05Outputs detailed temporal context including ISO and Unix timestamps
060 GitHub stars
Casos de Uso
01Improving the naturalness and context-awareness of LLM responses over time
02Enabling LLMs to subtly acknowledge time gaps without explicit user input
03Maintaining conversational continuity for LLM interactions across multiple sessions or days
