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MemoryStack – Memory layer for AI agents (92.8% on LongMemEval

Show HN: MemoryStack – Memory layer for AI agents (92.8% on LongMemEval

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MemoryStack - The memory layer for AI agents that doesn't forgetThe problem: AI agents today have goldfish memory. They forget after each session, can't track preference changes, and don't learn from past conversations. Current solutions fail: Vector search alone: 40% failure rate on complex queries Full-context approaches: Expensive, slow, less accurateMemoryStack solved this with multi-stage memory retrieval.Results on LongMemEval : MemoryStack: 92.8% Best commercial solution: 71.2% Full-context: 60.2% Biggest improvements: Preference tracking: 93.3% vs 56.7% Knowledge updates: 97.4% vs 83.3% Multi-session: 89.5% vs 64%Try it : https://memorystack.appFully Open Source I'm releasing everyth

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Website: memorystack.app

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