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architecture-knowledge

Provide reference knowledge on AI agent architectures and memory patterns.

21|5|Updated Mar 30, 2026
Search Tags:#architecture#aws#guardrails#ai-agents#memory-patterns#agentcore#plato-design
One-click install
npx skills add https://github.com/aws-samples/sample-agent-greenhouse --skill architecture-knowledge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: architecture-knowledge
Source: https://github.com/aws-samples/sample-agent-greenhouse/tree/main/src/platform_agent/plato/skills/architecture-knowledge
Command: npx skills add https://github.com/aws-samples/sample-agent-greenhouse --skill architecture-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides deep, reference-level knowledge about AI agent architectures, AWS services, memory patterns, and best practices to guide design, implementation, and evaluation of production agents.

Core Features & Use Cases

  • Architect-level guidance on AgentCore runtime, memory schemas, and integration patterns.
  • Reference for Domain Harness and Foundation Agent design decisions.
  • Use cases include designing scalable agents, evaluating memory strategies, and integrating with platforms like Slack.

Quick Start

Consult this knowledge base to answer questions about AgentCore runtime, memory architecture, or Slack integration patterns when designing a new domain harness.

Frequently Asked Questions about architecture-knowledge

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

FAQPage Schema
How do I design memory patterns for scalable AI agents?▼

Designing memory patterns for scalable AI agents requires selecting appropriate memory schemas to manage context retention. This knowledge base provides reference-grade architectures and AgentCore runtime guidance to structure memory strategies for production agents.

What is a Domain Harness and when do I need it for Foundation Agent design?▼

A Domain Harness is an architectural pattern for constraining and guiding Foundation Agents within specific operational boundaries. You need it when building production agents that require structured integration patterns and strict design guardrails.

How do I integrate AI agents with Slack using AWS services?▼

Integrating AI agents with Slack using AWS services involves applying specific platform integration patterns. This resource provides architectural guidance for connecting AgentCore runtime agents to external communication platforms securely.

Does this architecture knowledge cover AgentCore runtime best practices?▼

Yes, this architecture knowledge extensively covers AgentCore runtime best practices. It delivers architect-level guidance on runtime integration patterns, memory schemas, and AWS service usage for evaluating and implementing agents.

What are the best ways to evaluate AI agent memory architectures?▼

Evaluating AI agent memory architectures involves analyzing memory schemas against scalability and integration requirements. This reference provides architectural design decisions and best practices to assess memory strategies for Foundation Agents.

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