OS-Level Memory Layer for LLMs, AI Agents & Multi-Agent Systems with long-term, working, and external memory.

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.

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.

Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

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

Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single .mv2 file you can git commit, scp, or share. Native Rust core with sub-ms operations.

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

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

✨ 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

Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval

Code and data for VTCBench, a VLM benchmark for long-context understanding capabilities under vision-text compression paradigm.

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

Self-consolidating semantic memory for AI agents with Pydantic schemas, intelligent deduplication, and FAISS vector search.

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

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

Official Python SDK for SwastikAI