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@CicadaRelay

CicadaRelay

Infrastructure for CLAW Mesh, OpenClaw routing, hardening, and deployable AI systems.

CicadaRelay

Deployable systems for OpenClaw, CLAW Mesh, routing, and hardening.

CicadaRelay is the infrastructure layer of the broader CLAW ecosystem.

This organization is where the operational pieces live:

  • distributed control and node fabrics
  • model routing and provider control layers
  • deployment hardening and pre-exposure checks
  • skill tooling and workflow infrastructure

The goal is not to build another AI demo stack. The goal is to build systems that stay useful once AI work becomes operational, distributed, and persistent.

Project Family

Entry Layer

  • CICADA Launcher product for getting users into the ecosystem quickly.

Mesh and Distributed Execution

  • claw-grid Implementation repository for the public-facing CLAW Mesh platform. This is the distributed control, governance, memory, and execution fabric.

Routing and API Control

  • claw-api-hub Unified API control hub for multi-provider routing, management, and cost discipline.

  • clawapi-manager Provider control layer for OpenClaw with centralized API routing and runtime management.

  • free-llm-hub Simple multi-gateway access layer for free and low-friction model access.

Hardening and Integrity

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

Skills and Workflow Tooling

  • clawhub-skill-tools Tooling for building, organizing, and evolving deployable OpenClaw skills.

Naming Strategy

The naming layers are intentional:

  • CLAW OS = umbrella vision
  • CLAW Mesh = public-facing distributed platform name
  • claw-grid = implementation repository for that platform
  • Cicada = launcher product
  • OpenClaw = runtime and user environment

This org keeps repository names stable while allowing public product language to stay clear.

Focus Areas

Control

Control planes, schedulers, routing hubs, and operator-facing infrastructure.

Mesh

Distributed node fabrics, worker coordination, and execution layers that can scale beyond a single machine.

Access

Gateway and provider layers that make model access observable, replaceable, and operationally manageable.

Hardening

Integrity checks, exposure controls, and deployment-safe defaults.

Tooling

Skill systems, workflow kits, and supporting infrastructure for repeatable operator loops.

Operating Principle

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

Everything here is meant to survive contact with real usage.

Popular repositories Loading

  1. clawapi-manager clawapi-manager Public

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

    Python 4

  2. claw-grid claw-grid Public

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

    TypeScript 3 2

  3. claw-api-hub claw-api-hub Public

    Unified API control hub for multi-provider routing, management, and cost discipline

    Python 1

  4. clawhub-skill-tools clawhub-skill-tools Public

    Tooling for building, organizing, and evolving deployable OpenClaw skills

    Python 1

  5. openclaw-hardener openclaw-hardener Public

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

    1

  6. free-llm-hub free-llm-hub Public

    Launch multiple free and low-friction AI gateways with one command

Repositories

Showing 8 of 8 repositories

People

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