Florian Hartmann
b83546d833
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.
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
"""Konfiguration für Hermes Memory Next Level.
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Lädt aus ~/.hermes/profiles/<profile>/memory/config.json
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mit Fallback auf DEFAULT_CONFIG.
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"""
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import json
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import os
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from pathlib import Path
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from typing import Any, Dict
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DEFAULT_CONFIG: Dict[str, Any] = {
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"profile": "default",
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"tier2": {
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"enabled": True,
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"db_path": "{HERMES_HOME}/{profile}/memory/tier2.db",
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"wal_mode": True,
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"max_facts": 100_000,
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"max_entities": 10_000,
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"auto_dedupe": True,
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},
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"tier3": {
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"enabled": True,
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"backend": "chroma",
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"path": "{HERMES_HOME}/{profile}/memory/tier3",
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"embedding_model": "local",
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"embedding_dim": 384,
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"chunk_size": 512,
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"chunk_overlap": 64,
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"min_score": 0.7,
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},
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"graph": {
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"enabled": True,
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"path": "{HERMES_HOME}/{profile}/memory/graph",
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"auto_rebuild_interval_hours": 24,
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"max_nodes": 50_000,
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"centrality_algorithm": "betweenness",
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},
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"cron": {
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"consolidate_schedule": "0 3 * * *",
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"embed_schedule": "*/5 * * * *",
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"graph_rebuild_schedule": "0 4 * * 0",
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"prune_schedule": "0 2 1 * *",
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},
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"limits": {
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"fact_ttl_days": 365,
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"session_index_max_age_days": 90,
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"max_embedding_queue": 1000,
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},
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}
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def _resolve_path(template: str, profile: str) -> Path:
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"""Ersetzt {HERMES_HOME} und {profile} im Pfad-Template."""
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hermes_home = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
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raw = template.replace("{HERMES_HOME}", str(hermes_home)).replace("{profile}", profile)
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return Path(raw)
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def load_config(profile: str = "default") -> Dict[str, Any]:
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"""Lade Konfiguration mit Profil-Auflösung."""
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config_path = _resolve_path("{HERMES_HOME}/profiles/{profile}/memory/config.json", profile)
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config = DEFAULT_CONFIG.copy()
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if config_path.exists():
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with open(config_path, "r", encoding="utf-8") as f:
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user_config = json.load(f)
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config.update(user_config)
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config["profile"] = profile
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return config
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