MemOS (Preview) | Intelligence Begins with Memory
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Updated
Aug 4, 2025 - Python
MemOS (Preview) | Intelligence Begins with Memory
Profile-Based Long-Term Memory for AI Applications. Memobase handles user profiles, memory events, and evolving context — perfect for chatbots, companions, tutors, customer service bots, and all chat-based agents.
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.
✨ 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.
Reliable and Efficient Semantic Prompt Caching with vCache
Reproducible Structured Memory for LLMs
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
A MCP (Model Context Protocol) server providing long-term memory for LLMs
Official Python SDK for SwastikAI
Knowledge Graph Memory, Part of the Vital A.I. Agent Ecosystem
Carry your brain and consciousness across AI agents like ChatGPT and Claude. The first AI persona sync engine.
Functional memory for GPT-3.5-turbo-instruct with embeddings based on the MemoryBank whitepaper.
The Memory of your Agent
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.
Chatbot using langchain with ollama chat and mattermost
A MCP (Model Context Protocol) server providing long-term memory for LLMs
A long-short-term memory system for AI agents. This project provides a structured way for LLM agents to store, retrieve, and evolve knowledge over time. Inspired by how humans retain and contextualize memories.
A Langchain integration for the Linkup API
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