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Context window management stories

Sep 13, 2026

AWS Samples releases context engineering techniques to prevent AI agent failures in long-running tasks

AWS Samples has published research on four context engineering mechanisms designed to address context overflow and goal loss issues that occur when AI agents perform extended tasks requiring hundreds of tool calls over long time periods.

Sep 13, 2026·1 source
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Aug 13, 2026

Companies adopt Model Context Protocol scoping to reduce AI agent token costs

Okta and Fieldguide have announced implementations of identity-scoped Model Context Protocol (MCP) features aimed at reducing token costs for AI agents by limiting the tool schemas included in each model call.

Aug 13, 2026·2 sources
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Top claims

  • ▪Anthropic's context engineering guide states that attention creates n² pairwise relationships for n tokens, meaning every added token depletes a finite attention budget.
  • ▪LangChain Deep Agents truncates older write and edit tool calls to a pointer when session context exceeds 85% of the model's window.
  • ▪LangChain Deep Agents offloads tool responses exceeding 20,000 tokens to the filesystem, replacing them with a file path and a 10-line preview.

Subtopics

Agent tool use2AI agents2AI for developers2AI research & benchmarks1AI tokens1Prompt engineering1

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