ai agent architecture

9 articles · 15 co-occurring · 0 contradictions · 0 briefs

Shows how to structure agent infrastructure to reliably access diverse tools and data sources

Related concepts

multi agent orchestration 6 context window management 5 tool integration patterns 4 prompt engineering 3 memory persistence 2 information persistence across sessions 2 agent design patterns 2 workflow integration patterns 1 vendor lock in via context 1 tacit to explicit knowledge 1 state management 1 security in agentic systems 1 security governance in ai systems 1 rag retrieval augmented generation 1 multi turn conversation management 1

Evidence chain (9 articles, showing 9)

Pinterest Deploys Production-Scale Model Context Protocol Ecosystem for AI Agent Workflows - InfoQ supports

Shows how to structure agent infrastructure to reliably access diverse tools and data sources

Effective Context Engineering for AI Agents 🤖 - DEV Community supports

Discusses agent design decisions around what information agents access—architectural concern

MCP : Generative AI with Model Context Protocol, Claude Code supports

Course teaches 'Production-Ready AI Agents using Claude, CrewAI, and Amazon Bedrock'—positioning agent design as dependent on context protocol management

Effective Context Engineering for AI Agents: The Missing Layer in AI Systems | Fluid AI Blog supports

Frames context engineering as foundational layer for AI agents performing tasks. Agents need context engineering more than chatbots because tasks require reliable information availability.

Context Engineering Explained: A Core Technology Behind AI Agents (LLM Summary, Observation Masking & Memory) | by CreateMoMo | Apr, 2026 | Towards AI supports

Context engineering presented as foundational component of agent design, not optional optimization

@dexhorthy: "think before you AI" - "do not outsource the thinking" - this is a great, ti... example_of

Mentions 'teach an agent' for specific tasks—assumes agents need structured organizational context to be effective, which is an architectural assumption.

API Security for AI Agents, LLMs & Model Context Protocol extends

Identifies the API/MCP layer as a critical architectural decision point for agent systems, especially as agents gain autonomy and production access.

@GergelyOrosz: Interesting to observe Anthropic going from the moat being the best model to ... supports

Description of Claude with 'own identity' and proactive behavior suggests agentic patterns - maintaining state and taking initiative based on context

12 Essential AI Agent Research Papers for Engineers | Stanislav Beliaev posted on the topic | LinkedIn example_of

Papers listed cover agent architecture, but article doesn't connect this to context design patterns or memory management strategy

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