Add AI Council architecture: Tier 2/3/Graph implementation + Integration Plan
Architecture (Agent 1):
- hermes_memory/tier2/{schema,facts,entities,relations,timeline}.py
- hermes_memory/tier3/{backend,chroma_backend,embedder}.py
- hermes_memory/graph/nx_store.py
- hermes_memory/api/memory_api.py (unified API)
- hermes_memory/cron/{consolidate,embed_queue,graph_refresh,prune}.py
- hermes_memory/config.py + pyproject.toml
Integration Plan (Agent 3):
- INTEGRATION_PLAN.md: Memory Provider Plugin strategy
- Hermes Core needs minimal changes
- sync_turn() + prefetch() hooks
- Skills integration via nextlevel_search/remember
Auto-Extraction (Agent 2):
- ARCHITECTURE.md: Full extraction pipeline docs
- Chunking, Pre-Filter, LLM Prompts, Classification
- Entity-Linking, Temporal Reasoning, Deduplication
All files: Python syntax checked, ECC standards applied.
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"""
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Hermes Memory Next Level — Unified Memory Interface
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Öffentliche API für alle Memory-Tiers:
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Tier 1: Curated Memory (MEMORY.md / USER.md)
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Tier 2: Structured Knowledge (SQLite)
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Tier 3: Semantic Memory (Qdrant / Chroma)
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Graph: Knowledge Graph (NetworkX)
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Usage:
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from hermes_memory import MemoryAPI
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api = MemoryAPI(profile="default")
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api.fact_store("Python 3.11 ist die aktuelle Version", category="tech")
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results = api.recall("aktuelle Python Version")
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"""
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from hermes_memory.api.memory_api import MemoryAPI
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from hermes_memory.config import load_config, DEFAULT_CONFIG
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__all__ = ["MemoryAPI", "load_config", "DEFAULT_CONFIG"]
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__version__ = "0.1.0"
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