mirror of
https://github.com/tkenaz/breathe-memory.git
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4e671a0a83
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>
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
"""
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Custom language pack — adding German support to BREATHE.
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Demonstrates how to extend BREATHE to any language in ~20 lines.
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"""
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import asyncio
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import re
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from breathe import Synapse, BreatheConfig, LanguagePack, ENGLISH, RetrievedNode
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from breathe.interfaces import MemoryRepository
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# 1. Define a language pack
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GERMAN = LanguagePack(
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code="de",
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stopwords=frozenset({
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"der", "die", "das", "und", "ist", "in", "zu", "von", "mit",
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"für", "auf", "an", "aus", "bei", "nach", "über", "unter",
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"nicht", "auch", "noch", "aber", "oder", "wenn", "dann",
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"ich", "du", "er", "sie", "wir", "ihr", "sie", "es",
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"sein", "haben", "werden", "können", "müssen", "sollen",
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}),
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hub_exclusions=frozenset({"claude", "speicher", "system"}),
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temporal_pattern=re.compile(
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r"\b(gestern|heute|morgen|letzte Woche|diese Woche|neulich|wieder|damals)\b",
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re.IGNORECASE,
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),
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emotional_pattern=re.compile(
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r"\b(müde|Schmerzen|frustriert|wütend|glücklich|toll|scheiße|traurig|vermisse|liebe)\b",
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re.IGNORECASE,
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),
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labels={
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"themes": "Themen",
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"insights": "Erkenntnisse",
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"associative_memory_tag": "assoziatives_gedächtnis",
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},
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)
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# 2. Minimal stub repo for demo
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class MinimalRepo(MemoryRepository):
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async def get_concepts(self):
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return {"FastAPI": "uuid-1", "Python": "uuid-2"}
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async def graph_bfs(self, start_ids, **kwargs):
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return []
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async def keyword_search(self, keywords, limit=5):
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return [
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RetrievedNode(
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node_id=f"kw-{i}", concept=kw, node_type="memory_keyword",
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summary=f"Frühere Diskussion über {kw}", importance=0.6, depth=0,
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memory_content=f"Wir haben {kw} letzte Woche ausführlich besprochen.",
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)
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for i, kw in enumerate(keywords[:2])
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]
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async def main():
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# 3. Use in BreatheConfig — works with EN + DE simultaneously
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config = BreatheConfig(
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language_packs=[ENGLISH, GERMAN],
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default_language="de",
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)
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synapse = Synapse(repository=MinimalRepo(), config=config, enable_model=False)
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await synapse.initialize()
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messages = [
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{"role": "system", "content": "Du bist ein hilfreicher Assistent."},
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{"role": "user", "content": "Wie soll ich meine FastAPI Endpunkte strukturieren?"},
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]
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enriched = await synapse.inject(messages)
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print("Enriched message (German):")
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print(enriched[-1]["content"])
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if __name__ == "__main__":
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asyncio.run(main())
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