Popular GitHub Repositories for Memory Editing

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A high-throughput and memory-efficient inference and serving engine for LLMs

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

The Memory layer for AI Agents

Agno is a lightweight library for building Multimodal Agents. It exposes LLMs as a unified API and gives them superpowers like memory, knowledge, tools and reasoning.

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic ?: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Alluxio, data orchestration for analytics and machine learning in the cloud

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

?? ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Reliable LLM Memory for AI Applications and AI Agents

Serverless AI Workflows for Data & ML Teams

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Official implementations for paper: Anydoor: zero-shot object-level image customization