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MemoryGPT

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MemoryGPT is a tool developed by blackbearlabs.ai that allows chatbots to recall details from past conversations and adjust their behavior to user preferences.

FEATURES

  • 🧠 Long-Term Memory: MemoryGPT agents recall details from past conversations.
  • 🤖 Behavior Adjustment: The system adjusts its behavior to user preferences.
  • 💻 Experimental Release: MemoryGPT is available for free in an experimental release.
  • 👥 Team Collaboration: Talk to the team to implement MemoryGPT in your chatbot project.
  • ❤️ Developed by blackbearlabs.ai: MemoryGPT is brought to you by blackbearlabs.ai.

USE CASES

  • 💬 MemoryGPT agents will recall details from past conversations and adjust their behavior to your preferences. It can be implemented in chatbots for various use-cases such as coaching, productivity, or simply having someone to talk to.
  • 🧠 MemoryGPT creates long-term memory for the agent through a combination of vector storage and hard/extracting memories from a conversation and keeping some data in a more structured format. It uses a tokenized vector database which is beyond the current models of around 4096 tokens.
  • 📈 MemoryGPT can improve system factuality and user trust in generated content by adding a “long-term memory” component to generative question-answering systems.
  • 🤖 Auto-GPT can manage its long-term memory through commands and should be aware of its short and long-term memory usage so that it knows when something is e.g memory usage: (2555/4000 tokens) .
  • 📝 To store big amounts of data, like text using the API, it is recommended to split the text/data into chunks. When sending a chunk, ask GPT to give a summary of all necessary information in that chunk, and replace the sender chunk in the conversation with the summary response you got. This will lead to GPT remembering a whole lot more, as there is only a short summary in the conversation instead of the

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