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long_term_memory.py

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+# long_term_memory.py - Persistent Code Memory
+import json
+import hashlib
+from datetime import datetime
+
+class LongTermMemory:
+    def __init__(self, file_path="code_memory.json"):
+        self.file_path = file_path
+        self.memory = self.load_memory()
+    
+    def load_memory(self):
+        try:
+            with open(self.file_path, 'r') as f:
+                return json.load(f)
+        except FileNotFoundError:
+            return {"code_snippets": [], "patterns": []}
+    
+    def save_memory(self):
+        with open(self.file_path, 'w') as f:
+            json.dump(self.memory, f, indent=2)
+    
+    def add_code_snippet(self, code, description, language="python"):
+        snippet_id = hashlib.md5(code.encode()).hexdigest()[:10]
+        snippet = {
+            "id": snippet_id,
+            "code": code,
+            "description": description,
+            "language": language,
+            "timestamp": datetime.now().isoformat()
+        }
+        self.memory["code_snippets"].append(snippet)
+        self.save_memory()
+        return snippet_id
+    
+    def find_similar_code(self, query):
+        # Simple keyword matching (can be enhanced with embeddings)
+        results = []
+        for snippet in self.memory["code_snippets"]:
+            if query.lower() in snippet["description"].lower():
+                results.append(snippet)
+        return results[:5]