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laverta/README.md

🌿 laverta · Laverta Federation Ecosystem

Architecting lightweight, sovereign multi-agent operating systems, task-gated skill routing, neutral metacognitive observers, and human-centered cognitive tools.
构建轻量级主权多智能体联邦操作系统、任务路由总闸、中立元认知观测席位与面向人类的认知重构工具链。


🏛️ Ecosystem Architecture & Lineage / 生态架构与演化谱系

flowchart TB
    subgraph Origin["Origin & Cognitive Mechanics (2026-08 ~ 2026-09)"]
        MH["mindharp<br/>Large-Model Mechanics on a Human"]
        MH -->|splits into| T1["t-1 (Third-One · 观测端·镜子)<br/>Neutral Metacognitive Observer"]
        MH -->|splits into| R1["r-1 (Rewire-One · 落地端·刻刀)<br/>ADHD/AuDHD Restructuring"]
        T1 <-->|One-Series Symmetry · 一号体系| R1
    end

    subgraph Infra["Routing, Protocol & Model Bridge"]
        DSH["dsh-skill-registry<br/>DSH Task Router & Privilege Guard"]
        COMM["federation-communication-lite<br/>Platform-Neutral Agent Delivery"]
        BRIDGE["zcode-gemini-bridge<br/>Gemini thought_signature 400 Proxy"]
    end

    subgraph Core["Multi-Agent Sovereign OS (2026-09)"]
        MOA["federation-moa<br/>3-Stage Forward DAG + TTC + 3D World Tree<br/>57.5% vs 45.0% BigCodeBench-Hard"]
    end

    T1 -->|Orthogonal Invariant Discrimination<br/>dsh_advisor.py & skills/t-1| MOA
    DSH -->|On-Demand 1-3 Skill Mounting| MOA
    COMM -->|Bounded Inter-Agent Contract| MOA
    BRIDGE -->|Reliable Gemini Thinking Tool Calls| MOA
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📦 Repository Matrix / 核心仓库矩阵

Layer / 层级 Repository / 仓库 Core Focus / 核心定位 Key Cross-Links / 关联脉络
Core OS & Orchestration laverta/federation-moa Lightweight 3-model workflow (DeepSeek Flash + Gemini Flash + GLM Flash) beating single frontier models (57.5% vs 45.0% Pass@2 on BigCodeBench-Hard), plus offline 3D World Tree visualizer Embeds dsh-skill-registry patterns, t-1 observer, federation-communication-lite protocol, zcode-gemini-bridge support
Task Router & Governance laverta/dsh-skill-registry DSH (DeepSeek Harness) 3-step task router, minimal metadata index, and hard privilege boundary guard against context bloat Routing & governance companion to federation-moa (dsh-core, vault_index.json)
Inter-Agent Protocol laverta/federation-communication-lite Platform-neutral agent communication (Native messaging > Shared Markdown > Bridge) with bounded ACK/QUESTION/BLOCKED/RESULT contracts Delivery protocol companion to federation-moa (skills/federation-protocol/)
Metacognitive Observer laverta/t-1 Third-One (观测端·镜子): neutral third-person observer (S-1 -> T-1 -> R-1) for paradigm tagging & disagreement relay Evolved from mindharp; symmetric with r-1; powers anti-drift discrimination in federation-moa
Cognitive Restructuring laverta/r-1 Rewire-One (落地端·刻刀): non-clinical ADHD/AuDHD self-understanding & external scaffolding (understand -> accept -> rewire) Evolved from mindharp; symmetric with t-1
Origin / Predecessor laverta/mindharp "The large-model mechanics, running on a human." Engineer-metaphor prompt skill for cognitive parsing Predecessor (2026-08) that split into t-1 and r-1
Model Bridge Infra laverta/zcode-gemini-bridge Transparent local proxy caching Gemini 3.x thought_signature tokens to eliminate 400 errors in ZCode tool calls Enables reliable Gemini thinking-model execution for federation-moa harnesses

🕰️ Evolution & Core Thesis / 演进脉络与核心命题

  1. Primary-Subordinate Agent Federation (主子 Agent / 联邦 MoA): Moving away from bloated monolithic prompts toward bounded, context-isolated specialized agent roles coordinated by an orchestrator/aggregator.
  2. DSH Four-Generation Lineage (DSH-V1 → DSH-V4): Documented in federation-moa/docs/DSH_ARCHITECTURE_CHRONICLES.md, evolving from spatial guild sandboxes to the Three Musketeers TTC DAG + 3D World Tree.
  3. Human ↔ Agent Symmetry (mindharp → T-1 ↔ R-1): Large-model failure modes (context drift, overfitting, single-lens capture, temperature imbalance) mirror human cognitive states — producing both R-1 (human rewiring) and T-1 (neutral observer embedded back into federation-moa).

📚 Citation / 引用

See CITATION.cff and llms.txt for structured cross-repository metadata.

@software{laverta2026federation,
  author       = {laverta (Cody)},
  title        = {Laverta Federation Ecosystem: Federation-MOA, DSH Skill Registry, Federation Communication Lite, T-1, R-1, Mindharp, and ZCode-Gemini Bridge},
  year         = {2026},
  url          = {https://github.com/laverta},
  note         = {Unified multi-agent orchestration, routing, communication protocol, and metacognitive observer architecture}
}

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  1. federation-communication-lite federation-communication-lite Public

    Federation Communication Lite: Platform-neutral inter-agent communication protocol (Native messaging > Shared Markdown fallback > On-demand bridge) for multi-agent federations.

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  2. mindharp mindharp Public

    The large-model mechanics, running on a human. A prompt skill — for ADHDs.

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  3. zcode-gemini-bridge zcode-gemini-bridge Public

    让 ZCode 无痛使用 Gemini API — 附带 thought_signature 400 修复代理

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  4. t-1 t-1 Public

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  5. r-1 r-1 Public

    R-1 · Rewire-One — ADHD/AuDHD self-understanding & restructuring: understand → accept → rewire. 落地端·刻刀

  6. federation-moa federation-moa Public

    Federation-MOA: Lightweight Multi-Agent Sovereign Operating System & 3D World Tree Topology — lightweight 3-model workflow beats single frontier model (57.5% vs 45% on BigCodeBench-Hard). Pure stdl…

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