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    bubble-agent-os

    bubble-agent-os

    luckincoco March 17, 2026
    1 copies 0 downloads

    Open-source AI agent with brain-inspired long-term memory. Three-path fusion retrieval + hierarchical bubble compaction + surprise detection. Self-hosted, mobile-first PWA.

    Agent Definition
    <div align="center">
    
    <img src="web/public/bubble-192.png" alt="Bubble Agent OS" width="120" />
    
    # Bubble Agent OS
    
    **An AI assistant that actually *remembers*.**
    
    Every conversation, every imported spreadsheet, every piece of knowledge becomes a "bubble" that links, compresses, and evolves — so the AI understands you better over time.
    
    **一个真正有记忆的 AI 助手。**
    
    每次对话、每份导入的数据都会变成一个个"泡泡",通过关联、压缩、演化,让 AI 越来越懂你。
    
    [![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
    [![Node >= 20](https://img.shields.io/badge/node-%3E%3D20-brightgreen.svg)](https://nodejs.org)
    [![TypeScript](https://img.shields.io/badge/TypeScript-5.9-blue.svg)](https://www.typescriptlang.org)
    [![GitHub stars](https://img.shields.io/github/stars/luckincoco/bubble-agent-os)](https://github.com/luckincoco/bubble-agent-os/stargazers)
    [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/luckincoco/bubble-agent-os/pulls)
    
    </div>
    
    <div align="center">
    <img src="docs/screenshots/chat-view.png" alt="Chat Interface" width="720" />
    </div>
    
    ---
    
    ## Why Bubble? / 为什么是泡泡?
    
    Most AI chatbots are goldfish — they forget everything after each conversation. RAG helps, but it's just basic vector search. **Bubble Agent OS** takes a fundamentally different approach inspired by how human memory actually works.
    
    大多数 AI 聊天机器人都是"金鱼记忆"——每次对话后什么都忘了。RAG 有所帮助,但本质上只是向量检索。**泡泡 Agent OS** 从人类记忆的工作方式出发,采用了截然不同的方法。
    
    > **Bubble Theory / 泡泡理论**: Every piece of information is a small bubble. Related bubbles naturally cluster together into larger bubbles. Over time, atomic facts compress into concepts, and concepts compress into user portraits — progressively approximating a true understanding of you.
    >
    > 每一条信息都是一个小泡泡。相关的泡泡自然聚合成更大的泡泡。随着时间推移,原子事实被压缩为概念,概念被压缩为用户画像——逐步逼近对你的真正理解。
    
    ### Bubble Agent vs Traditional RAG
    
    | | Traditional RAG | Bubble Agent OS |
    |---|---|---|
    | **Retrieval** | Vector similarity only | Keyword + Vector + Graph + Recency (4-path fusion) |
    | **Weights** | Fixed |

    Tags

    ai-agentdeepseekfeishuknowledge-graphlong-term-memoryollamapersonal-assistantpwaragself-hosted

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