Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Long-running AI agent tasks often fail due to context overflow and goal loss, issues not solved by simply increasing model context windows. AWS and others use harness-layer mechanisms like context budgeting, memory strategies, and offloading to manage these problems effectively in tools like LangChain Deep Agents and Amazon Bedrock AgentCore.