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.

hermes_memory/config.py

@@ -0,0 +1,69 @@
+"""Konfiguration für Hermes Memory Next Level.
+
+Lädt aus ~/.hermes/profiles/<profile>/memory/config.json
+mit Fallback auf DEFAULT_CONFIG.
+"""
+
+import json
+import os
+from pathlib import Path
+from typing import Any, Dict
+
+DEFAULT_CONFIG: Dict[str, Any] = {
+    "profile": "default",
+    "tier2": {
+        "enabled": True,
+        "db_path": "{HERMES_HOME}/{profile}/memory/tier2.db",
+        "wal_mode": True,
+        "max_facts": 100_000,
+        "max_entities": 10_000,
+        "auto_dedupe": True,
+    },
+    "tier3": {
+        "enabled": True,
+        "backend": "chroma",
+        "path": "{HERMES_HOME}/{profile}/memory/tier3",
+        "embedding_model": "local",
+        "embedding_dim": 384,
+        "chunk_size": 512,
+        "chunk_overlap": 64,
+        "min_score": 0.7,
+    },
+    "graph": {
+        "enabled": True,
+        "path": "{HERMES_HOME}/{profile}/memory/graph",
+        "auto_rebuild_interval_hours": 24,
+        "max_nodes": 50_000,
+        "centrality_algorithm": "betweenness",
+    },
+    "cron": {
+        "consolidate_schedule": "0 3 * * *",
+        "embed_schedule": "*/5 * * * *",
+        "graph_rebuild_schedule": "0 4 * * 0",
+        "prune_schedule": "0 2 1 * *",
+    },
+    "limits": {
+        "fact_ttl_days": 365,
+        "session_index_max_age_days": 90,
+        "max_embedding_queue": 1000,
+    },
+}
+
+
+def _resolve_path(template: str, profile: str) -> Path:
+    """Ersetzt {HERMES_HOME} und {profile} im Pfad-Template."""
+    hermes_home = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
+    raw = template.replace("{HERMES_HOME}", str(hermes_home)).replace("{profile}", profile)
+    return Path(raw)
+
+
+def load_config(profile: str = "default") -> Dict[str, Any]:
+    """Lade Konfiguration mit Profil-Auflösung."""
+    config_path = _resolve_path("{HERMES_HOME}/profiles/{profile}/memory/config.json", profile)
+    config = DEFAULT_CONFIG.copy()
+    if config_path.exists():
+        with open(config_path, "r", encoding="utf-8") as f:
+            user_config = json.load(f)
+        config.update(user_config)
+    config["profile"] = profile
+    return config