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2233admin/README.md

2233admin // SOLARIS RELAY

Operational infrastructure for autonomous AI systems

Typing SVG

>_ SITE DOSSIER

SOLARIS RELAY is a personal archive of deployable AI infrastructure.

Work here is focused on:

  • terminal operation layers
  • OpenClaw deployment systems
  • distributed node fabrics
  • gateway routing layers
  • pre-exposure hardening
  • workflow infrastructure built to survive real use

Not concept work.
Not interface theater.
Deployable systems only.



>_ DEPLOYED MODULES

CICADA // M-01

Entry-layer deployment interface

A one-click launcher that turns OpenClaw into something installable, startable, and usable.

kaku-shell // T-02

Terminal operation layer

A PowerShell-based AI coding terminal built for repeatable operator workflows.

claw-mesh // N-03

Distributed node fabric

WireGuard-backed networking and orchestration for OpenClaw nodes.

free-llm-hub // G-04

Multi-gateway access layer

Launch multiple free AI gateways through a simplified OpenAI-compatible interface.

openclaw-hardener // S-05

Integrity and hardening protocol

Self-check and hardening tools for OpenClaw deployments before public exposure.

claw-rice // W-06

Workflow operating kit

Battle-tested Claude and OpenClaw setup for terminal UX, skills, rules, and agents.


>_ NETWORK TOPOLOGY

[ operator terminal ]
         |
         v
[ workflow layer ]
         |
         v
[ gateway / routing ]
         |
         v
[ local nodes ] <--> [ mesh fabric ] <--> [ distributed agents ]
         |
         v
[ hardening / integrity / control ]

Objective: turn AI from interface into infrastructure.


>_ OPERATIONAL STACK

LANGUAGES    Python / TypeScript / Rust / C
RUNTIME      Docker / systemd / self-hosted services
NETWORK      WireGuard / SSH / distributed node fabrics
DATA         Redis / PostgreSQL / local state layers
FRONTEND     Next.js / Tailwind / terminal-first interfaces
FOCUS        agent ops / routing / orchestration / hardening

>_ DEPLOYMENT DOCTRINE

  • install speed matters
  • interfaces should collapse operational friction
  • routing layers should be explicit, observable, and replaceable
  • distributed nodes should be connectable without becoming chaos
  • defaults should not assume trusted environments
  • AI tooling should remain useful after the novelty is gone

If a system only works inside a carefully staged demo, it is not finished.


>_ RELAY STATUS


>_ ARCHIVE NOTE

This relay stores terminals, gateways, node fabrics, hardening layers, and operational kits.

If your work begins where AI demos end, this archive may be relevant.


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  1. openclaw-QWQ openclaw-QWQ Public

    Forked from openclaw/openclaw

    Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

    TypeScript 2

  2. CicadaRelay/clawapi-manager CicadaRelay/clawapi-manager Public

    Provider control layer for OpenClaw with centralized API routing and runtime management

    Python 4

  3. CicadaRelay/claw-grid CicadaRelay/claw-grid Public

    Implementation repository for the public-facing CLAW Mesh distributed control plane

    TypeScript 3 2

  4. full-self-coding full-self-coding Public

    Forked from NO-CHATBOT-REVOLUTION/full-self-coding

    No prompts, no instructions, no plans, you have 100~1000 AI agent coding in parallel now, solving all possible problems and issues in your codebase.

    TypeScript 4

  5. ai-prompts-library ai-prompts-library Public

    Structured library of reusable prompts for AI tasks, roles, and operator workflows

    2

  6. AI-NativeServerOS AI-NativeServerOS Public

    AI-native server control layer for natural-language operations, governance, and cluster execution

    Python 3