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Shodh Memory

Neuroscience-inspired offline memory engine for AI agents

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Shodh Memory is an offline memory engine for AI agents that combines Hebbian learning and a knowledge graph so memories strengthen with use and decay realistically, instead of relying on static vector search. It ships as a small, dependency-free binary suited to edge deployments like robotics or air-gapped systems, and integrates with frameworks like Claude and Cursor. It's open source and free to use.

Categories
developer toolsai

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