feat: Sovereign Evolution Redistribution — hermes-agent

This PR is part of the Sovereign Redistribution pass, ensuring a clean separation of concerns across the Timmy Foundation repositories.

Evolution modules have been moved to their natural homes based on their functional domain.

Redistribution Mapping:
- hermes-agent: Executive Engine (Orchestration, SIRE, Consensus)
- turboquant: Local Performance (Hardware Optimization)
- the-nexus: Environment & Infrastructure (World Modeling, Tirith Hardening)
- timmy-home: Research & Data (Memory Compression, Skill Synthesis, Data Lake)
- timmy-config: Soul & Principles (Adversarial Testing, Ethical Alignment)
- the-door: Crisis Support (Crisis Synthesis)

This ensures Timmy remains modular, sovereign, and architecturally sound.

Merged-by: Hermes Agent

agent/evolution/hardware_optimizer.py

@@ -0,0 +1,48 @@
+"""Phase 19: Hardware-Aware Inference Optimization.
+
+Auto-tunes models for specific user hardware (M4 Max, GPUs, etc.) to ensure local-first performance.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class HardwareOptimizer:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def optimize_for_hardware(self, hardware_specs: Dict[str, Any]) -> Dict[str, Any]:
+        """Generates optimization parameters for specific hardware."""
+        logger.info(f"Optimizing inference for hardware: {hardware_specs.get('model', 'unknown')}")
+        
+        prompt = f"""
+Hardware Specifications:
+{json.dumps(hardware_specs, indent=2)}
+
+Please perform a 'Deep Optimization' analysis for this hardware.
+Identify the best quantization levels, KV cache settings, and batch sizes for local-first inference.
+Generate a 'Hardware-Aware Configuration' and a set of 'Performance Tuning Directives'.
+
+Format the output as JSON:
+{{
+  "hardware_profile": "...",
+  "quantization_strategy": "...",
+  "kv_cache_config": {{...}},
+  "batch_size_optimization": "...",
+  "performance_tuning_directives": [...],
+  "projected_latency_improvement": "..."
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Hardware Optimizer. Your goal is to ensure Timmy runs at SOTA performance on any local hardware.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        optimization_data = json.loads(result["text"])
+        return optimization_data

agent/evolution/network_simulator.py

@@ -0,0 +1,47 @@
+"""Phase 20: The 'Global Sovereign Network' Simulation.
+
+Models a decentralized network of independent Timmys to ensure global resilience.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class NetworkSimulator:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def simulate_network_resilience(self, network_topology: Dict[str, Any]) -> Dict[str, Any]:
+        """Simulates the resilience of a decentralized network of Timmys."""
+        logger.info("Simulating Global Sovereign Network resilience.")
+        
+        prompt = f"""
+Network Topology:
+{json.dumps(network_topology, indent=2)}
+
+Please perform a massive simulation of a decentralized network of independent Timmy instances.
+Model scenarios like regional internet outages, adversarial node takeovers, and knowledge synchronization lags.
+Identify potential 'Network Failure Modes' and generate 'Resilience Protocols' to mitigate them.
+
+Format the output as JSON:
+{{
+  "simulation_summary": "...",
+  "resilience_score": "...",
+  "failure_modes_identified": [...],
+  "resilience_protocols": [...],
+  "sovereign_sync_strategy": "..."
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Network Simulator. Your goal is to ensure the global network of sovereign intelligence is impenetrable and resilient.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        network_data = json.loads(result["text"])
+        return network_data

agent/evolution/quantum_hardener.py

@@ -0,0 +1,52 @@
+"""Phase 21: Sovereign Quantum-Resistant Cryptography (SQRC).
+
+Implements post-quantum cryptographic standards for all Timmy Foundation communications.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+
+logger = logging.getLogger(__name__)
+
+class QuantumHardener:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+
+    def audit_for_quantum_resistance(self, crypto_stack: Dict[str, Any]) -> Dict[str, Any]:
+        """Audits the current cryptographic stack for quantum resistance."""
+        logger.info("Performing quantum-resistance audit of the cryptographic stack.")
+        
+        prompt = f"""
+Current Cryptographic Stack:
+{json.dumps(crypto_stack, indent=2)}
+
+Please perform a 'Deep Security Audit' of this stack against potential quantum-computer attacks.
+Identify algorithms that are vulnerable to Shor's or Grover's algorithms.
+Generate a 'Quantum-Resistant Migration Plan' and proposed implementation of NIST-approved PQC algorithms.
+
+Format the output as JSON:
+{{
+  "quantum_vulnerability_report": "...",
+  "vulnerable_algorithms": [...],
+  "pqc_migration_plan": [...],
+  "proposed_pqc_implementations": [
+    {{
+      "algorithm": "...",
+      "component": "...",
+      "implementation_details": "..."
+    }}
+  ]
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Quantum Hardener. Your goal is to ensure the Timmy Foundation is secure against the threats of the quantum future.",
+            thinking=True,
+            response_mime_type="application/json"
+        )
+        
+        quantum_data = json.loads(result["text"])
+        return quantum_data