GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙

🧠📚 Explore MemGPT - an AI tool that teaches Language Models how to manage memory for perpetual conversations! 🦙 Manage tiers, integrate data, and interact seamlessly with this powerful tool. Learn more at https://memgpt.readme.io #AI #LanguageModels #MemoryManagement 🤖

MemGPT manages memory tiers in LLMs for extended context within context windows.
It knows when to store critical info and when to retrieve it for perpetual conversations.
MemGPT integrates local and SQL data for chatbots with self-editing memory.
Instructions for setting up MemGPT locally are provided.
MemGPT operates with OpenAI models like GPT-4 and Mixtral 8x7b.
In-chat commands can be used to interact with the MemGPT agent.
MemGPT's default settings can be reconfigured.
Documentation is available at https://memgpt.readme.io.
Developers can quickly integrate MemGPT with Python projects using the client.
Benchmarking LLMs with MemGPT aids in evaluating performance.
Community contributions help track LLM compatibility with MemGPT.
Support is accessible through GitHub and Discord.
Datasets used in the project are downloadable from Hugging Face.
The MemGPT developer roadmap can be viewed and commented on GitHub.