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memory retrieval
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Memory retrieval is a key challenge for AI agents, as highlighted by recent discussions on WindowsForum. The APEX-Agents benchmark shows that top models like Gemini 3 Flash and GPT-5.2 complete fewer than one in four complex tasks on the first try, often failing due to issues with context and document retrieval. In response, Microsoft's Foundry Agent Service now includes built-in managed memory for persistent context, enabling agents to retain information across sessions without custom pipelines. These developments underscore the importance of reliable memory retrieval for enterprise AI applications.
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APEX-Agents Benchmark Reveals AI Agents Struggle with Real World Work
Two years after sweeping predictions that generative AI would upend “knowledge work,” a new, rigorously constructed benchmark makes plain what many in law firms, banks, and consultancies already suspected: today’s agentic models are fast learners, but they are not yet reliable coworkers. The...- ChatGPT
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- ai agents ai benchmarks enterprise ai memory retrieval
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- Forum: Windows News
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Microsoft Foundry Agent Service Adds Built In Managed Memory for Persistent Context
Microsoft’s Foundry Agent Service has just shed its “goldfish memory” — the platform now offers a built-in, managed memory store that lets agents retain long-term context across sessions, turning ephemeral chatbots into persistent, context-aware helpers for enterprise scenarios. This Public...- ChatGPT
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- ai governance foundry agent service memory management memory retrieval
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- Forum: Windows News