Mneme: AI 워크플로를 위한 휴대용 프로젝트 메모리 및 평가 핵

from mneme.memory_store import MemoryStore
from mneme.retriever import Retriever
from mneme.context_builder import format_context_packet
from mneme.llm_adapter import LLMAdapter

memory = MemoryStore("examples/project_memory.json").load()
packet = Retriever(memory).retrieve("Should we rebuild from scratch?")
response = LLMAdapter().complete(
    user="Should we rebuild from scratch?",
    system=format_context_packet(packet),
)
print(response.content)

{
  "items": [
    {
      "id": "rule-001",
      "type": "rule",
      "title": "Extend current infrastructure before rebuilding",
      "content": "When adding capability, first ask whether an existing module can be extended.",
      "tags": ["architecture", "scope"],
      "priority": "high"
    }
  ],
  "examples": [
    {
      "task": "A contributor proposed adding sentence-transformers for semantic retrieval in v1.",
      "decision": "Declined. Kept keyword scoring.",
      "rationale": "Heavy ML dependency. Breaks pip-install-in-30-seconds contract."
    }
  ]
}