| # 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?") | |
| ``` | |