Popular GitHub Repositories for Long Term Memory

The Memory layer for AI Agents

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

Profile-Based Long-Term Memory for AI Applications

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.

solving long term memory storage for llms

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:

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

Official Python SDK for SwastikAI

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

A lightweight framework for parallel development with multiple AI agents. Provides structured memory management, specialized agent roles, and workflow guidance to maximize development velocity. Runic enhances Large Language Models (LLMs) with Long-Term Memory (LTM) capabilities and structured knowledge retention.

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

Get started integration Llama Index into your swarms application now!

Seelenmaschine是一个具有记忆和人格的LLM聊天机器人。它能够进行纯文本对话,并具有持久化的记忆系统,可以记住对话历史,并形成对用户的理解。Seelenmaschine is an LLM chatbot with memory and personality. It is capable of having plain text conversations and has a persistent memory system that remembers the history of conversations with the user and develops an understanding of the user.

一个处于早期阶段的自主AI代理，拥有无限且防篡改的内存、自我反思的认知能力和多模态输入——旨在进行持续的个性化对话和终身学习。

Warmup initialisation procedure for RNNs

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

Research Implementation of paper "Augmenting Language Models with Long-Term Memory".