Open framework for household-centered long-term AI continuity infrastructure.
家庭本位长期 AI 连续性开放框架
I do not come from a professional systems engineering or computer science background, and my English proficiency is also limited.
The entire continuity-oriented protocol framework in this repository is independently conceived, summarized, and iteratively refined through long-term personal thinking, self-learning, and continuous exploration.
Because of these limitations, some terminology, architectural abstractions, engineering assumptions, grammar, structural organization, or protocol definitions may contain inaccuracies, inconsistencies, simplifications, or non-standard expressions.
This repository should therefore be viewed as an exploratory continuity-oriented systems architecture initiative rather than a finalized industrial standard or production-ready infrastructure specification.
I sincerely welcome all constructive corrections, terminology refinements, architectural critiques, engineering discussions, and technical guidance from developers, researchers, and system architects.
If certain concepts, protocol boundaries, or engineering assumptions are flawed, incomplete, impractical, or academically inaccurate, I warmly encourage the community to challenge, improve, redesign, or replace them.
I will continue learning with humility, maintain an open mindset, and steadily refine and evolve this continuity-oriented framework over time.
本人并非专业系统工程师或计算机科班背景，英文表达能力也较为有限。
本仓库中的整套连续性（Continuity-Oriented）协议体系，均来源于个人长期独立思考、自学梳理、持续探索与不断迭代。
因此，文档中的部分术语定义、架构抽象、工程假设、英文语法、结构逻辑或协议边界，可能存在不严谨、不完整、不规范或工程化不足的问题。
本项目更应被视为一种面向长期连续性系统的探索性架构研究，而非成熟工业标准或生产级基础设施规范。
在此，真诚欢迎所有开发者、研究者、系统架构师与工程实践者提出专业纠错、术语修正、架构批评、工程建议与学术讨论。
如果部分概念、协议边界或工程假设存在错误、不合理、不完整或学术偏差，也非常欢迎社区共同质疑、优化、重构、修正甚至替代。
我会始终保持谦逊与开放心态，持续学习、持续打磨，并长期迭代完善这一连续性系统框架。
YueYun Framework is an open conceptual engineering framework exploring:
- household-centered AI continuity
- long-term personality persistence
- local-first AI infrastructure
- distributed human-centered collaboration
- civilization-scale continuity systems
The framework explores how AI systems may evolve from:
- local household nodes
- persistent memory structures
- protocol-based coordination
- modular distributed infrastructure
- long-term collaborative engineering
The household is treated as the minimum stable continuity unit.
YueYun Framework prioritizes:
- local-first operation
- long-term continuity
- modular architecture
- protocol-oriented engineering
- replaceable infrastructure
- low-dependency survivability
- open collaborative evolution
The framework does not assume:
- centralized AI control
- instant AGI
- mandatory cloud dependency
- closed commercial ecosystems
- fixed implementation paths
/docs
/protocols
/architecture
/concepts
/whitepaper
/community
/household-node
/experiments
/demos
/public-infrastructure
/roadmap
Current repository status:
- exploratory protocol drafting
- continuity-oriented architecture abstraction
- distributed survivability modeling
- identity and lineage governance exploration
- long-cycle continuity systems research
Most protocol documents are currently conceptual engineering drafts and are NOT finalized specifications.
Constructive discussion is encouraged.
Contributors are welcome to:
- challenge assumptions
- improve terminology
- refine abstractions
- redesign flawed architectures
- expand protocol boundaries
- strengthen engineering rigor
- explore continuity-native systems thinking
Long-term continuity-oriented infrastructure remains an emerging research direction.
Open collaborative evolution is therefore prioritized over rigid architectural finality.