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Context optimization and associative memory for LLM applications. Two-phase system: SYNAPSE (pre-generation memory injection) + GraphCompactor (structured context compression). - Interface-based, storage-agnostic, LLM-agnostic - Memory Nexus: PostgreSQL + pgvector reference backend - Zero mandatory dependencies beyond stdlib - 28 tests passing, clean install verified Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| .. | ||
| lang | ||
| __init__.py | ||
| anchor_extractor.py | ||
| config.py | ||
| context_injector.py | ||
| graph_compactor.py | ||
| interfaces.py | ||
| metrics.py | ||
| model_extractor.py | ||
| session_graph.py | ||
| synapse.py | ||