MemoryStack – Memory layer for AI agents (92.8% on LongMemEval
Show HN: MemoryStack – Memory layer for AI agents (92.8% on LongMemEval
Based, MemoryStack – Memory layer for AI agents (92.8% on LongMemEval works in show hn launch.
Profile
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
Within the show hn launch space, the company focuses on its core offering rather than a broad product line.
Its current recorded stage is Show HN launch.
| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: memorystack.app
Browse related
Create a free account