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MemGPT

AI community

Description

Create LLM agents with long-term memory and custom tools πŸ“šπŸ¦™

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

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MemGPT allows you to build LLM agents with long term memory & custom tools

[![Discord](https://img.shields.io/discord/1161736243340640419?label=Discord&logo=discord&logoColor=5865F2&style=flat-square&color=5865F2)](https://discord.gg/9GEQrxmVyE) [![Twitter Follow](https://img.shields.io/badge/follow-%40MemGPT-1DA1F2?style=flat-square&logo=x&logoColor=white)](https://twitter.com/MemGPT) [![arxiv 2310.08560](https://img.shields.io/badge/arXiv-2310.08560-B31B1B?logo=arxiv&style=flat-square)](https://arxiv.org/abs/2310.08560) [![Documentation](https://img.shields.io/github/v/release/cpacker/MemGPT?label=Documentation&logo=readthedocs&style=flat-square)](https://memgpt.readme.io/docs)

MemGPT makes it easy to build and deploy stateful LLM agents with support for:

You can also use MemGPT to deploy agents as a *service*. You can use a MemGPT server to run a multi-user, multi-agent application on top of supported LLM providers.

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Installation & Setup

Install MemGPT:

pip install -U pymemgpt

To use MemGPT with OpenAI, set the environment variable `OPENAI_API_KEY` to your OpenAI key then run:

memgpt quickstart --backend openai

To use MemGPT with a free hosted endpoint, you run run:

memgpt quickstart --backend memgpt

For more advanced configuration options or to use a different [LLM backend](h