The Memory layer for your AI apps

OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

A library for benchmarking the Long Term Memory and Continual learning capabilities of LLM based agents. With all the tests and code you need to evaluate your own agents. See more in the blogpost:

The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.

Augment AI agents with long-term memory through knowledge graph 🧠

A smart AI voice assistant with multi-language support and long-term memory. Currently best for Swedish and English. Compatible with Windows and Raspberry Pi. The assistant can use various functions and tools to answer questions (Google, Wolfram Alpha, etc.). Based on OpenAI's GPT-models, Google STT and TTS, and ElevenLabs TTS.

Curse-of-memory phenomenon of RNNs in sequence modelling

chatbot Ai with long-term memory and additional inputs

A CLI for improve your memory

Example code for a basic Long Term Memory Chatbot using Qdrant and a conversation history list.

Get started integration Llama Index into your swarms application now!

Long Term Memory for robots using ROS. Thesis project.

Testing code and demo episodic information for the ROS ltm package.

Warmup initialisation procedure for RNNs

Code for NeurIPS paper: https://openreview.net/forum?id=5wdvW_hI7bP

An AI agent driven plant nursuring APP that supports beginners to experts in gardening tasks

A simple ZEP SDK for laravel