When should I use subagents instead of a single agent?

Use subagents when you need parallel execution, memory optimization for large contexts, or specific isolation boundaries for security and separation of concerns.

How does this skill handle agent state?

It utilizes Cloudflare Durable Objects to persist state between events, providing a consistent, coordinated, and scalable memory for individual agent instances.

What is prompt-native architecture?

It is a design philosophy where features are defined in natural language prompts rather than hard-coded functions, allowing agents to use low-level primitives to figure out how to achieve outcomes autonomously.

How do agents verify their own changes using this architecture?

It follows a verification hierarchy: prioritizing deterministic rules-based checks (like TypeScript types and linting) first, visual verification second, and LLM-as-judge only as a last resort.

Agent-Native Edge Architecture

Name: Agent-Native Edge Architecture
Author: hirefrank

byhirefrank

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Infraestructura en la Nube

Builds autonomous AI agents on Cloudflare's edge using prompt-driven logic and native primitives.

Acerca de

This skill implements a prompt-native philosophy for engineering AI agents within the Cloudflare ecosystem. It enables developers to build self-modifying, stateful systems where features are defined through natural language prompts rather than static code. By leveraging Cloudflare's edge primitives—such as Durable Objects for state, Workers for execution, and Queues for messaging—this skill allows agents to autonomously manage their own workflows, optimize context through tiered memory strategies, and collaborate via service bindings, following a 'trust the agent's intelligence' approach.

Características Principales

Prompt-native feature definition for outcome-based agent logic
Tiered context compaction (Hot/Warm/Cold memory patterns)
Multi-agent orchestration via Service Bindings and Queues
Agentic search optimization for higher accuracy than semantic similarity
Stateful agent management using Cloudflare Durable Objects
2 GitHub stars

Casos de Uso

Building autonomous, self-improving agents that reside on the edge
Implementing long-running, stateful AI workflows with persistent memory
Designing complex multi-agent systems with low-latency inter-agent communication

Acerca de

Características Principales

Prompt-native feature definition for outcome-based agent logic
Tiered context compaction (Hot/Warm/Cold memory patterns)
Multi-agent orchestration via Service Bindings and Queues
Agentic search optimization for higher accuracy than semantic similarity
Stateful agent management using Cloudflare Durable Objects
2 GitHub stars

Casos de Uso

Building autonomous, self-improving agents that reside on the edge
Implementing long-running, stateful AI workflows with persistent memory
Designing complex multi-agent systems with low-latency inter-agent communication