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ai agent orchestration

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

Article explicitly states context engineering is critical for scaling AI agents; agents require reliable context across multiple turns/actions.

Related concepts
retrieval augmented generation 2 rag retrieval strategies 2 prompt engineering 2 context window management 2 context preservation across sessions 2 tool use and plugins 1 tool integration and substitution 1 security and privacy controls 1 safety constraints 1 prompt management 1 multi turn conversation context 1 multi agent orchestration 1 metadata governance 1 mcp ecosystem 1 context window as bottleneck 1
Evidence chain (5 articles, showing 5)
Context Engineering vs Prompt Engineering | DataHub supports

Article explicitly states context engineering is critical for scaling AI agents; agents require reliable context across multiple turns/actions.

Context Window: AI's Limited Working Memory | Jack Lynch posted on the topic | LinkedIn supports

Agents and sub-agents mentioned as patterns for 'protecting and compounding context'

@RickLamers: Awesome initiative by @badlogicgames and @huggingface! supports

Sharing traces across agent systems (Hermes, OpenCode, Claude) enables distributed agent learning and orchestration patterns.

From AI Prototype to Production: A Step-by-Step Guide | Shreekant Mandvikar posted on the topic | LinkedIn example_of

Article mentions CrewAI agents but does not explore orchestration patterns, coordination, or context flow between agents.

Claude Managed Agents Just Dropped, And It Kills n8n - YouTube example_of

Title mentions 'Claude Managed Agents' which would relate to agent orchestration patterns, but cannot confirm details without accessible content.

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