architecture-knowledge

name	architecture-knowledge
description	Deep knowledge about AI agent architectures, AWS services, memory patterns, and best practices. Use as reference when answering technical questions.

Architecture Knowledge

AgentCore Runtime

• Managed container runtime for AI agents
• Supports Strands SDK, LangChain, and custom frameworks
• Request-driven model (invoke_agent_runtime API)
• Session-based with automatic scaling (including scale-to-zero)
• Memory integration (STM events + LTM strategy extraction)

Memory Architecture (Plato Design)

• Platform files (SOUL.md, IDENTITY.md) → baked into container image
• User memory → AgentCore Memory with namespace isolation
• STM: Conversation events per session (list_events / create_event)
• LTM: Extracted records from 4 strategies (Semantic, UserPreference, Summary, Episodic)
• Namespace isolation: /actors/{actorId}/ for server-side filtering
• Explicit memory: save_memory / recall_memory tools for high-value facts

Slack Integration Pattern

• API Gateway → Lambda (3s ack) → SQS → Worker Lambda (15min) → AgentCore
• Session ID: thread-based for shared context, channel+user for non-thread
• Actor ID: Slack user ID for memory isolation