MemOS (Preview) | Intelligence Begins with Memory
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Updated
Jul 20, 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.
A Python Library for Managing and Transferring Conversational Memory Across LLMs
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
Official Python SDK for SwastikAI
A MCP (Model Context Protocol) server providing long-term memory for LLMs
Knowledge Graph Memory, Part of the Vital A.I. Agent Ecosystem
Functional memory for GPT-3.5-turbo-instruct with embeddings based on the MemoryBank whitepaper.
The Memory of your Agent
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.
Simple AI-agent Conversation Orchestrator
A Langchain integration for the Linkup API
A simple MCP server that stores and retrieves memories from multiple LLMs
A framework for utilising LLM with a semantic memory layer
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