Home / Plugins / Miscellaneous / Papr Memory: Access Your Past Conversations and Retrieve Information
Papr Memory is a valuable ChatGPT plugin that grants us access to our personal memory graph, enabling us to retrieve and interact with stored information from past conversations. With this plugin, we can easily recall specific details, ideas, or topics previously discussed, making it ideal for users who want to keep track of important information within their interactions with ChatGPT.
Using Papr Memory is straightforward. To get started, we simply search for the plugin in the ChatGPT plugin store or press the "try it" button on the top right of the page. This immediately activates the plugin, allowing us to begin utilizing its features.
Once the plugin is activated, we can seamlessly query our memory graph. For example, if we want to know the last book we mentioned, we can simply ask the plugin by saying, "What was the last book I mentioned?" It will then search our personal memory graph and provide the answer promptly.
In addition to retrieving information, Papr Memory allows us to add new memories to our graph. We can easily create a note, a to-do list, or any other information we wish to remember later. This feature assists in organizing our thoughts and ensuring that we can easily reference important details when needed.
Furthermore, the plugin offers the ability to update or modify existing memories. Suppose we need to modify a previously created note. In that case, we can instruct the plugin to make the necessary changes by specifying what needs to be updated. For example, we can say, "Update my last note to include today's meeting details," ensuring that our records remain accurate and up to date.
Papr Memory is versatile and accommodates a variety of prompt examples. We can ask questions such as, "What was the last movie I talked about?" or command the plugin to perform actions like, "Add a note about my meeting with Sarah." By providing clear and concise prompts, we can obtain precise and relevant information from our memory graph.
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