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Yes, there are AI chatbots and conversational AI systems that can retain input from users and share that input with other users when applicable. These systems are designed to have memory and context awareness, allowing them to maintain a conversation history and utilize it in subsequent interactions. Here are a few examples:

1. Customer Support Chatbots: Many customer support chatbots are designed to retain user input and context throughout a conversation. This enables them to provide personalized assistance and maintain continuity in the conversation, even if the user switches channels or interacts with multiple support agents.

2. Virtual Assistants: Virtual assistants like Google Assistant, Siri, and Alexa can retain user input and context across interactions. They use this information to provide personalized responses, remember user preferences, and offer relevant suggestions or recommendations based on previous interactions.

3. Collaborative Chatbots: There are chatbot frameworks and platforms that enable collaboration between multiple chatbots. In such setups, chatbots can share information and context, allowing for more seamless handovers and collaborative problem-solving.

4. Enterprise Chatbots: Some enterprise-grade chatbot platforms offer features that facilitate knowledge sharing among users. These platforms allow users to contribute to a collective knowledge base by sharing insights, best practices, or user-generated content, which can then be utilized by the chatbot to provide better responses and assistance.

It's important to note that the retention and sharing of user input are done in a privacy-conscious manner, adhering to data protection regulations and ensuring user consent.

The specific capabilities and implementation of retaining and sharing user input may vary depending on the chatbot or conversational AI system you choose. It's recommended to explore the features and documentation of the particular platform or tool you are interested in to understand its capabilities in this regard.