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AI APIs & Integration

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Sunday, 13 September 2026

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

MarkTechPost 1 month ago 25 ● 2 sources

AWS samples describe long-horizon autonomous coding agents failing when a simple LLM-tool loop runs into context overflow, causing goal loss and poor state retention. Deep Agents offloads any tool response over 20,000 tokens and switches to file-pointer truncation once session context passes 85% of the model window. The article shows that improving agent performance shifts from buying a larger model window to using harness mechanisms like context budgeting/offloading, compaction, todo-state recitation, and cross-session memory that preserve objectives across long runs.

Marqly 6.0

Product Hunt 1 month ago 32

Marqly launched Marqly 6.0, adding an AI Assistant and an AI Organizer that work with users’ saved bookmarks and content. The update adds MCP support to move saved research into Claude, ChatGPT, and Cursor. Marqly also groups articles, highlights, videos, and AI chats together and makes the features available on the web, in the browser, and on iOS (with Android coming soon).

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