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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>
12 lines
359 B
Python
12 lines
359 B
Python
"""Language packs for BREATHE anchor extraction and injection."""
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from .en import (
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STOPWORDS as EN_STOPWORDS,
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HUB_EXCLUSIONS as EN_HUB_EXCLUSIONS,
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LABELS as EN_LABELS,
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TEMPORAL_PATTERN as EN_TEMPORAL,
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EMOTIONAL_PATTERN as EN_EMOTIONAL,
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)
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__all__ = [
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"EN_STOPWORDS", "EN_HUB_EXCLUSIONS", "EN_LABELS", "EN_TEMPORAL", "EN_EMOTIONAL",
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]
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