agent architecture patterns

6 articles · 15 co-occurring · 0 contradictions · 5 briefs

We design intelligent systems where specialized AI agents collaborate in parallel — not single-model solutions, but orchestrated workflows governed by explicit roles, validation gates, and human accou

Related concepts

tool integration patterns 3 multi agent orchestration 2 model selection strategy 2 context window management 2 token budget allocation 1 state management 1 prompt optimization 1 prompt engineering anti patterns 1 prompt engineering 1 observability as context 1 memory persistence 1 mcp tool integration 1 information preservation 1 feedback loops 1 context compression 1

Signal history

2026-W15

Evidence chain (6 articles, showing 6)

RUNE DIGITAL | LinkedIn example_of

@shao__meng: List the gaps. I'll fill them in."* supports

Most agents underperform because they lack context. This prompt forces you to see the gaps and fix them." — Provides evidence that systematic context gap identification is a key architectural pattern

Context Engineering for AI Agents: A Deep Dive extends

Context engineering for agents differs from single-turn context; agents require compounding knowledge across tool calls and steps

Multi-Agent Systems with LangGraph Course supports

[INFERRED] "Learn to design and build AI agents today" — Course focuses on teaching systematic design and architecture patterns for production-ready AI agents

@NirDiamantAI: The @mcp.tool() decorator enables Claude to discover functions automatically ... example_of

Describes a specific architectural pattern for tool registration in agent systems

Web Search for Agents in 2026 supports

pricing, data sources, benchmarks" — Systematic evaluation of search API alternatives (pricing tiers, data coverage, performance) supports architectural decision-making for agent design

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