{"id":"bc64822a-4a97-4e34-92f7-fb4fa164cc7f","kind":"products","code":"UB-D7148","name":"Memo Maimo","nameBasis":"translated","summary":"Memo Maimo is a multi-Agent memory system that consolidates projects, knowledge, tasks, and preferences scattered across AI tools into one local memory library. Built for individuals or teams who use many AI tools and hit information silos. The core difference is localized memory management plus an out-of-the-box runtime that protects privacy and lowers deployment barriers. [Core features] Out-of-the-box install: Memo Full package with built-in Python Runtime and dependencies so new users run without extra environment setup. Local memory system: unify scattered AI projects, knowledge, and task threads locally to avoid cross-tool fragmentation and loss, turning local memory into your knowledge base. Multi-Agent support: works with multiple AI tools and centrally manages preferences and context from different Agent interactions—well suited to multi-Agent management.","description":"Memo Maimo is a multi-Agent memory system that consolidates projects, knowledge, tasks, and preferences scattered across AI tools into one local memory library. Built for individuals or teams who use many AI tools and hit information silos. The core difference is localized memory management plus an out-of-the-box runtime that protects privacy and lowers deployment barriers. [Core features] Out-of-the-box install: Memo Full package with built-in Python Runtime and dependencies so new users run without extra environment setup. Local memory system: unify scattered AI projects, knowledge, and task threads locally to avoid cross-tool fragmentation and loss, turning local memory into your knowledge base. Multi-Agent support: works with multiple AI tools and centrally manages preferences and context from different Agent interactions—well suited to multi-Agent management.","country":null,"category":"General-purpose agents","originalName":"Memo 麦默","eventDate":null,"website":null,"sourceUpdatedAt":"2026-10-27T05:00:19.511Z","englishUpdatedAt":"2026-10-28T00:56:09.922Z","reviewedAt":"2026-10-28T00:56:09.922Z","snapshotAt":"2026-10-28T00:47:51.550Z","sourceHash":"e92f13d4461e1dfdcf5abc1ff386300e6663295cbc80a8e27d2ae6f8dfc86a68","companyId":"1ba9a885-8374-4f89-97e4-fd3945f2093c","foundedYear":null,"logoUrl":null,"originalText":"Memo 麦默是一款多 Agent 记忆系统,旨在将分散在不同 AI 工具中的项目、知识、任务和偏好整合至统一的本地记忆库。目标用户为同时使用多种 AI 工具且受困于信息孤岛的个人或团队。其核心差异点在于提供本地化记忆管理与开箱即用的运行环境,保障数据隐私的同时降低部署门槛。【核心功能】开箱即用安装：提供内置 Python Runtime 和依赖的 Memo Full 安装包,新用户无需额外配置环境即可直接运行。本地记忆系统：将散落的 AI 项目、知识和任务线索统一沉淀在本地,避免跨工具的信息割裂与丢失，将本地记忆系统沉淀为自己的知识库。多 Agent 支持：兼容多个 AI 工具,集中管理不同 Agent 交互产生的偏好与上下文记忆，非常适合进行多 Agent 管理。","sources":[],"related":[{"id":"1ba9a885-8374-4f89-97e4-fd3945f2093c","kind":"companies","code":"UB-C12482","name":"Memo","nameBasis":"source-english","summary":"Memo is a multi-agent memory system","description":"Memo is a multi-agent memory system that consolidates projects, knowledge, tasks, preferences, and source clues scattered across AI tools into one local memory system.","country":null,"category":null,"originalName":"Memo 麦默","eventDate":null,"website":"https://memo.zhaguzhagu.com/","sourceUpdatedAt":"2026-10-26T00:00:00.000Z","englishUpdatedAt":"2026-11-01T02:12:46.576Z","reviewedAt":"2026-11-01T02:12:46.576Z","snapshotAt":"2026-11-01T00:40:31.077Z","sourceHash":"319e0425da11e6e59fd95621c9075562a65ee838d240f189efa16a00c232ccba","companyId":null,"foundedYear":null,"logoUrl":null,"path":"/companies/memo"}],"path":"/products/UB-D7148","structured":{"city":null,"country":null,"location":null,"role":null,"category":"General-purpose agents","company":{"name":"Memo","path":"/companies/memo"}},"definition":"Memo Maimo is a product in the General-purpose agents category from Memo.","summaryBasis":"translated","thin":false,"canonical":"https://uniquebase.ai/products/UB-D7148"}