The Infinite Context Window Is a Myth: Context Engineering for AI Agents

Agent systems break when tools return large volumes of data and the context window overflows. The Memory Pointer Pattern externalizes large outputs and guides workflows with lightweight references, in single-agent and multi-agent setups, with real metrics.

Context EngineeringMemory PointerMulti-AgentToken Optimization
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Speakers

Elizabeth Fuentes Leone

Elizabeth Fuentes Leone

Developer Advocate

Morgan Willis

Morgan Willis

Senior Developer Advocate, AWS

Resources

AWS Promotional Credits

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Talk Survey: Help Shape Future Content

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Step-by-step: redeem the credit code in your AWS account

Presentation Deck

Full slide deck: four context engineering strategies and the Memory Pointer Pattern

Why AI Agents Fail — GitHub Repo (⭐ star it!)

Open-source repo with all the demos: hallucinations and token waste (context overflow, swarm, reasoning loops, MCP timeouts)

If you find it useful, give it a ⭐!

Why AI Agents Fail: 3 Failure Modes That Cost You Tokens and Time

Blog post on the failure modes and fixes

Solving Context Window Overflow in AI Agents

IBM Research on the Memory Pointer Pattern

Resilient AI Agents With MCP

Octopus on the async handle pattern for MCP tools

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