Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

Build memory-native AI agents with Memory OS — an open-source framework for long-term memory, retrieval, and adaptive learning in large language models. Agent Memory | Memory System | Memory Management | Memory MCP | MCP System | LLM Memory | Agents Memory System |

User Profile-Based Long-Term Memory for AI Chatbot Applications.

Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

HaluMem is the first operation level hallucination evaluation benchmark tailored to agent memory systems.

[COLM 2025] Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale

✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

Reproducible Structured Memory for LLMs

Reliable and Efficient Semantic Prompt Caching with vCache

Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context

A MCP (Model Context Protocol) server providing long-term memory for LLMs

Official Python SDK for SwastikAI

A simple MCP server that stores and retrieves memories from multiple LLMs.

a human-like, self-evolving, self-cleaned AI memory system for LLM

[EMNLP 2025 Main] LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models

Portable_TA is a lightweight, OpenAI-compatible LLM service that acts as an always-available AI Teaching Assistant. It provides document-grounded answers using RAG, maintains conversation memory, and integrates easily with tools like OpenWebUI for fast, portable, and intelligent student support.

A collection of intelligent AI agents built using Ollama, LangChain, and local LLMs — including chatbots, voice assistants, web scrapers, document readers, and custom tools. No APIs required. Fully offline.

Knowledge Graph Memory, Part of the Vital A.I. Agent Ecosystem

The CMR system is a sophisticated memory-enhanced language model architecture that enables contextual memory reweaving for improved performance on long-context tasks.