evolve-scale

Plan and execute phased multi-host fleet scaling for AICP deployments.

Updated Mar 26, 2026

Search Tags:#architecture #orchestration #scaling #fleet #multi-host #localai #evolve-scale

Ready to run

npx skills add https://github.com/cyberpunk042/devops-expert-local-ai --skill evolve-scale

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: evolve-scale
Source: https://github.com/cyberpunk042/devops-expert-local-ai/tree/main/.claude/skills/evolve-scale
Command: npx skills add https://github.com/cyberpunk042/devops-expert-local-ai --skill evolve-scale

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scale AICP from a single-host, single-operator deployment to a multi-host fleet, enabling coordinated LocalAI clusters, per-host agent servers, replicated DLQ/state, and multi-operator concurrency.

Core Features & Use Cases

Architecture evolution planning and execution to extend AICP across multiple machines with fleet-level coordination.
Cross-host LocalAI clustering, per-host agents, and replicated state and DLQ to support multi-operator workflows.
Phase-driven rollout with clear validation and rollback points to ensure safe deployment.

Quick Start

Initiate the evolve-scale workflow to plan and execute a secure, phased multi-host fleet rollout.

Frequently Asked Questions about evolve-scale

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I scale a single-host AICP deployment to a multi-host fleet?▼

To scale a single-host AICP deployment to a multi-host fleet, you plan and execute architecture-level changes that extend coordination across multiple machines. This involves deploying per-host agent servers, clustering LocalAI instances, and replicating DLQ and state.

What is the best way to orchestrate multi-operator concurrency across multiple hosts?▼

Orchestrating multi-operator concurrency across multiple hosts requires extending AICP to a fleet architecture. This is achieved by deploying per-host agent servers and replicating state and DLQ to support coordinated multi-operator workflows safely.

Does extending AICP to a multi-host fleet require replicated state and DLQ?▼

Yes, extending AICP to a multi-host fleet requires replicated DLQ and state. This replication is necessary to support multi-operator concurrency and ensure coordinated LocalAI clusters across the expanded architecture.

Can I coordinate LocalAI clusters across multiple machines using evolve-scale?▼

You can coordinate LocalAI clusters across multiple machines by applying the evolve-scale workflow. It plans architecture evolution to extend AICP from a single host to a fleet, enabling cross-host LocalAI clustering and per-host agent servers.

What are the limitations of scaling architecture without a phase-driven rollout?▼

Scaling architecture without a phase-driven rollout risks unsafe deployment and invalid state surfaces. The evolve-scale approach mandates validating each phase before rollout and documenting topology changes to ensure secure multi-host extension.