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tensorstore-memory – AI Model by hayulalab | AlphaNeural AI

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hayulalab/
tensorstore-memory

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TensorStore Agent Memory (TSAM)

Google TensorStore-inspired Multi-Resolution Semantic Memory for Multi-Agent AI

Features

3D memory tensor (agent × time × embedding)
Multi-resolution: recent, daily, weekly, all-time
Semantic search (not grep)
Agent similarity detection (SegCLR-inspired)
Zero dependencies

Usage

python

from tensorstore_memory import AgentMemoryTensor
mem = AgentMemoryTensor()
mem.store("agent", "message", tags=["tag"])
results = mem.query("what happened?")