Architecting efficient context-aware multi-agent framework for production

ADK introduces **Context Engineering** to scale AI agents beyond large context windows. It treats context as a compiled view over a tiered, stateful system (**Session, Memory, Artifacts**). This architecture uses explicit processors for transformation,…


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog

ADK introduces **Context Engineering** to scale AI agents beyond large context windows. It treats context as a compiled view over a tiered, stateful system (**Session, Memory, Artifacts**). This architecture uses explicit processors for transformation, enables efficient compaction and caching, and allows for strict, scoped context handoffs in multi-agent workflows to ensure reliability and cost-effectiveness in production.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog


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Google Developers Blog | Sciencx (2025-12-26T07:35:54+00:00) Architecting efficient context-aware multi-agent framework for production. Retrieved from https://www.scien.cx/2025/12/26/architecting-efficient-context-aware-multi-agent-framework-for-production/

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