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db3e546 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # 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?")
```
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