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context poisoning

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AI Engineering
AI Engineering
Sep 1, 2026 · Artificial Intelligence

Why Long-Term LLM Agents Fail: The Same Design Choice Behind Two Deaths

Long‑term LLM agents suffer from ever‑slowing execution and context poisoning because they continuously append every observation, action, and reasoning step to the prompt, but the SKILL.state approach replaces this growing history with a compact mutable state, dramatically cutting token usage while boosting accuracy and robustness across diverse benchmarks.

GeminiGemmaLLM Agents
0 likes · 11 min read
Why Long-Term LLM Agents Fail: The Same Design Choice Behind Two Deaths
DeepHub IMBA
DeepHub IMBA
May 6, 2026 · Information Security

Why MCP’s Protocol Layer Allows Prompt Injection and Hijacks Agent Context

The Model Context Protocol (MCP) embeds every tool’s description into an LLM’s context window, creating a structural “Context Poisoning” vulnerability that lets malicious or bloated tool metadata hijack agent reasoning, inflate tokens, and bypass traditional input validation.

AI agent securityLLMMCP
0 likes · 10 min read
Why MCP’s Protocol Layer Allows Prompt Injection and Hijacks Agent Context