diff --git a/reginaldCog/memory.py b/reginaldCog/memory.py
new file mode 100644
index 0000000..844ba03
--- /dev/null
+++ b/reginaldCog/memory.py
@@ -0,0 +1,325 @@
+import re
+import random
+import datetime
+import discord
+import openai
+from collections import Counter
+from redbot.core import commands, Config
+from openai import OpenAIError
+
+
+class MemoryMixin:
+    """Handles all memory-related functions for Reginald."""
+
+    def __init__(self, config: Config):
+        self.config = config
+        self.short_term_memory_limit = 100
+        self.summary_retention_limit = 25
+        self.summary_retention_ratio = 0.8
+
+    
+    @commands.command(name="reginald_clear_short", help="Clears short-term memory for this channel.")
+    @commands.has_permissions(administrator=True)
+    async def clear_short_memory(self, ctx):
+        """Clears short-term memory for this channel."""
+        async with self.config.guild(ctx.guild).short_term_memory() as short_memory:
+            short_memory[ctx.channel.id] = []
+        await ctx.send("Short-term memory for this channel has been cleared.")
+
+
+    @commands.command(name="reginald_set_limit", help="Set the short-term memory message limit.")
+    @commands.has_permissions(administrator=True)
+    async def set_short_term_memory_limit(self, ctx, limit: int):
+        """Allows an admin to change the short-term memory limit dynamically."""
+        if limit < 5:
+            await ctx.send("⚠️ The short-term memory limit must be at least 5.")
+            return
+
+        self.short_term_memory_limit = limit
+        await ctx.send(f"✅ Short-term memory limit set to {limit} messages.")
+
+
+    @commands.command(name="reginald_memory_limit", help="Displays the current short-term memory message limit.")
+    async def get_short_term_memory_limit(self, ctx):
+        """Displays the current short-term memory limit."""
+        await ctx.send(f"📏 **Current Short-Term Memory Limit:** {self.short_term_memory_limit} messages.")
+
+    @commands.command(name="reginald_clear_mid", help="Clears mid-term memory (summarized logs).")
+    @commands.has_permissions(administrator=True)
+    async def clear_mid_memory(self, ctx):
+        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
+            mid_memory[ctx.channel.id] = ""
+        await ctx.send("Mid-term memory for this channel has been cleared.")
+
+    @commands.command(name="reginald_summary", help="Displays a selected mid-term summary for this channel.")
+    async def get_mid_term_summary(self, ctx, index: int):
+        """Fetch and display a specific mid-term memory summary by index."""
+        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
+            summaries = mid_memory.get(str(ctx.channel.id), [])
+
+            # Check if there are summaries
+            if not summaries:
+                await ctx.send("⚠️ No summaries available for this channel.")
+                return
+
+            # Validate index (1-based for user-friendliness)
+            if index < 1 or index > len(summaries):
+                await ctx.send(f"⚠️ Invalid index. Please provide a number between **1** and **{len(summaries)}**.")
+                return
+
+            # Fetch the selected summary
+            selected_summary = summaries[index - 1]  # Convert to 0-based index
+            
+            # Format output correctly
+            formatted_summary = (
+                f"📜 **Summary {index} of {len(summaries)}**\n"
+                f"📅 **Date:** {selected_summary['timestamp']}\n"
+                f"🔍 **Topics:** {', '.join(selected_summary['topics']) or 'None'}\n"
+                f"📝 **Summary:**\n\n"
+                f"{selected_summary['summary']}"
+            )
+
+            await self.send_long_message(ctx, formatted_summary)
+    
+    @commands.command(name="reginald_summaries", help="Lists available summaries for this channel.")
+    async def list_mid_term_summaries(self, ctx):
+        """Displays a brief list of all available mid-term memory summaries."""
+        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
+            summaries = mid_memory.get(str(ctx.channel.id), [])
+
+            if not summaries:
+                await ctx.send("⚠️ No summaries available for this channel.")
+                return
+
+            summary_list = "\n".join(
+                f"**{i+1}.** 📅 {entry['timestamp']} | 🔍 Topics: {', '.join(entry['topics']) or 'None'}"
+                for i, entry in enumerate(summaries)
+            )
+
+            await ctx.send(f"📚 **Available Summaries:**\n{summary_list[:2000]}")
+
+    @commands.command(name="reginald_clear_long", help="Clears all long-term stored knowledge.")
+    @commands.has_permissions(administrator=True)
+    async def clear_long_memory(self, ctx):
+        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            long_memory.clear()
+        await ctx.send("All long-term memory has been erased.")
+
+    @commands.command(name="reginald_reset_all", help="Completely resets all memory.")
+    @commands.has_permissions(administrator=True)
+    async def reset_all_memory(self, ctx):
+        async with self.config.guild(ctx.guild).short_term_memory() as short_memory:
+            short_memory.clear()
+        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
+            mid_memory.clear()
+        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            long_memory.clear()
+        await ctx.send("All memory has been completely reset.")
+
+    @commands.command(name="reginald_recall", help="Recalls what Reginald knows about a user.")
+    async def recall_user(self, ctx, user: discord.User):
+        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            profile = long_memory.get(str(user.id), {}).get("summary", "No stored information on this user.")
+        await ctx.send(f"📜 **Memory Recall for {user.display_name}:** {profile}")
+
+    @commands.command(name="reginald_forget", help="Forgets a specific user's long-term profile.")
+    @commands.has_permissions(administrator=True)
+    async def forget_user(self, ctx, user: discord.User):
+        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            if str(user.id) in long_memory:
+                del long_memory[str(user.id)]
+                await ctx.send(f"Reginald has forgotten all stored information about {user.display_name}.")
+            else:
+                await ctx.send(f"No stored knowledge about {user.display_name} to delete.")
+
+    async def summarize_memory(self, ctx, messages):
+        """✅ Generates a structured, compact summary of past conversations for mid-term storage."""
+        summary_prompt = (
+            "Summarize the following conversation into a structured, concise format that retains key details while maximizing brevity. "
+            "The summary should be **organized** into clear sections: "
+            "\n\n📌 **Key Takeaways:** Important facts or conclusions reached."
+            "\n🔹 **Disputed Points:** Areas where opinions or facts conflicted."
+            "\n🗣️ **Notable User Contributions:** Key statements from users that shaped the discussion."
+            "\n📜 **Additional Context:** Any other relevant information."
+            "\n\nEnsure the summary is **dense but not overly verbose**. Avoid unnecessary repetition while keeping essential meaning intact."
+        )
+
+        summary_text = "\n".join(f"{msg['user']}: {msg['content']}" for msg in messages)
+
+        try:
+            api_key = await self.config.guild(ctx.guild).openai_api_key()
+            if not api_key:
+                print("🛠️ DEBUG: No API key found for summarization.")
+                return (
+                    "It appears that I have not been furnished with the necessary credentials to carry out this task. "
+                    "Might I suggest consulting an administrator to rectify this unfortunate oversight?"
+                )
+
+            client = openai.AsyncClient(api_key=api_key)
+            response = await client.chat.completions.create(
+                model="gpt-4o-mini",
+                messages=[
+                    {"role": "system", "content": summary_prompt},
+                    {"role": "user", "content": summary_text}
+                ],
+                max_tokens=2048
+            )
+
+            summary_content = response.choices[0].message.content.strip()
+
+            if not summary_content:
+                print("🛠️ DEBUG: Empty summary received from OpenAI.")
+                return (
+                    "Ah, an unusual predicament indeed! It seems that my attempt at summarization has resulted in "
+                    "a void of information. I shall endeavor to be more verbose next time."
+                )
+
+            return summary_content
+
+        except OpenAIError as e:
+            error_message = f"OpenAI Error: {e}"
+            print(f"🛠️ DEBUG: {error_message}")  # Log error to console
+
+            reginald_responses = [
+                f"Regrettably, I must inform you that I have encountered a bureaucratic obstruction whilst attempting to summarize:\n\n{error_message}",
+                f"It would seem that a most unfortunate technical hiccup has befallen my faculties in the matter of summarization:\n\n{error_message}",
+                f"Ah, it appears I have received an urgent memorandum stating that my summarization efforts have been thwarted:\n\n{error_message}",
+                f"I regret to inform you that my usual eloquence is presently obstructed by an unforeseen complication while summarizing:\n\n{error_message}"
+            ]
+
+        return random.choice(reginald_responses)
+        
+    def extract_topics_from_summary(self, summary):
+        """Dynamically extracts the most important topics from a summary."""
+
+        # 🔹 Extract all words from summary
+        keywords = re.findall(r"\b\w+\b", summary.lower())
+
+        # 🔹 Count word occurrences
+        word_counts = Counter(keywords)
+
+        # 🔹 Remove unimportant words (common filler words)
+        stop_words = {"the", "and", "of", "in", "to", "is", "on", "for", "with", "at", "by", "it", "this", "that", "his", "her"}
+        filtered_words = {word: count for word, count in word_counts.items() if word not in stop_words and len(word) > 2}
+
+        # 🔹 Take the 5 most frequently used words as "topics"
+        topics = sorted(filtered_words, key=filtered_words.get, reverse=True)[:5]
+
+        return topics
+
+    def select_relevant_summaries(self, summaries, prompt):
+        """Selects the most relevant summaries based on topic matching, frequency, and recency weighting."""
+
+        max_summaries = 5 if len(prompt) > 50 else 3  # Use more summaries if the prompt is long
+        current_time = datetime.datetime.now()
+
+        def calculate_weight(summary):
+            """Calculate a weighted score for a summary based on relevance, recency, and frequency."""
+            topic_match = sum(1 for topic in summary["topics"] if topic in prompt.lower())  # Context match score
+            frequency_score = len(summary["topics"])  # More topics = likely more important
+            timestamp = datetime.datetime.strptime(summary["timestamp"], "%Y-%m-%d %H:%M")
+            recency_factor = max(0.1, 1 - ((current_time - timestamp).days / 365))  # Older = lower weight
+
+            return (topic_match * 2) + (frequency_score * 1.5) + (recency_factor * 3)
+
+        # Apply the weighting function and sort by highest weight
+        weighted_summaries = sorted(summaries, key=calculate_weight, reverse=True)
+
+        return weighted_summaries[:max_summaries]  # Return the top-scoring summaries
+
+    def extract_fact_from_response(self, response_text):
+        """
+        Extracts potential long-term knowledge from Reginald's response.
+        This filters out generic responses and focuses on statements about user preferences, traits, and history.
+        """
+
+        # Define patterns that suggest factual knowledge (adjust as needed)
+        fact_patterns = [
+            r"I recall that you (.*?)\.",  # "I recall that you like chess."
+            r"You once mentioned that you (.*?)\.",  # "You once mentioned that you enjoy strategy games."
+            r"Ah, you previously stated that (.*?)\.",  # "Ah, you previously stated that you prefer tea over coffee."
+            r"As I remember, you (.*?)\.",  # "As I remember, you studied engineering."
+            r"I believe you (.*?)\.",  # "I believe you enjoy historical fiction."
+            r"I seem to recall that you (.*?)\.",  # "I seem to recall that you work in software development."
+            r"You have indicated in the past that you (.*?)\.",  # "You have indicated in the past that you prefer single-malt whisky."
+            r"From what I remember, you (.*?)\.",  # "From what I remember, you dislike overly sweet desserts."
+            r"You previously mentioned that (.*?)\.",  # "You previously mentioned that you train in martial arts."
+            r"It is my understanding that you (.*?)\.",  # "It is my understanding that you have a preference for Linux systems."
+            r"If I am not mistaken, you (.*?)\.",  # "If I am not mistaken, you studied philosophy."
+        ]
+
+        for pattern in fact_patterns:
+            match = re.search(pattern, response_text, re.IGNORECASE)
+            if match:
+                return match.group(1)  # Extract the meaningful fact
+
+        return None  # No strong fact found
+    
+    @commands.command(name="reginald_memory_status", help="Displays a memory usage summary.")
+    async def memory_status(self, ctx):
+        async with self.config.guild(ctx.guild).short_term_memory() as short_memory, \
+                   self.config.guild(ctx.guild).mid_term_memory() as mid_memory, \
+                   self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            
+            short_count = sum(len(v) for v in short_memory.values())
+            mid_count = sum(len(v) for v in mid_memory.values())
+            long_count = len(long_memory)
+
+        status_message = (
+            f"📊 **Memory Status:**\n"
+            f"- **Short-Term Messages Stored:** {short_count}\n"
+            f"- **Mid-Term Summaries Stored:** {mid_count}\n"
+            f"- **Long-Term Profiles Stored:** {long_count}\n"
+        )
+        await ctx.send(status_message)
+
+    def normalize_fact(self, fact: str) -> str:  # ✅ Now it's a proper method
+        """Cleans up facts for better duplicate detection."""
+        return re.sub(r"\s+", " ", fact.strip().lower())  # Removes excess spaces)
+    
+    async def update_long_term_memory(self, ctx, user_id: str, fact: str, source_message: str, timestamp: str):
+        """Ensures long-term memory updates are structured, preventing overwrites and tracking historical changes."""
+        fact = self.normalize_fact(fact)  # ✅ Normalize before comparison
+
+        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
+            if user_id not in long_memory:
+                long_memory[user_id] = {"facts": []}
+
+            user_facts = long_memory[user_id]["facts"]
+
+            for entry in user_facts:
+                if self.normalize_fact(entry["fact"]) == fact:
+                    entry["last_updated"] = timestamp
+                    return
+
+            # Check for conflicting facts (same topic but different details)
+            conflicting_entry = None
+            for entry in user_facts:
+                existing_keywords = set(entry["fact"].lower().split())
+                new_keywords = set(fact.lower().split())
+
+                # If there's significant overlap in keywords, assume it's a conflicting update
+                if len(existing_keywords & new_keywords) >= 2:
+                    conflicting_entry = entry
+                    break
+
+            if "previous_versions" not in conflicting_entry:
+                # ✅ If contradiction found, archive the previous version
+                conflicting_entry["previous_versions"].append({
+                    "fact": conflicting_entry["fact"],
+                    "source": conflicting_entry["source"],
+                    "timestamp": conflicting_entry["timestamp"]
+                })
+                conflicting_entry["fact"] = fact  # Store the latest fact
+                conflicting_entry["source"] = source_message
+                conflicting_entry["timestamp"] = timestamp
+                conflicting_entry["last_updated"] = timestamp
+            else:
+                # ✅ Otherwise, add it as a new fact
+                user_facts.append({
+                    "fact": fact,
+                    "source": source_message,
+                    "timestamp": timestamp,
+                    "last_updated": timestamp,
+                    "previous_versions": []
+                })
\ No newline at end of file
diff --git a/reginaldCog/reginald.py b/reginaldCog/reginald.py
index 40b9683..0dc4d3b 100644
--- a/reginaldCog/reginald.py
+++ b/reginaldCog/reginald.py
@@ -10,16 +10,14 @@ from redbot.core import Config, commands
 from openai import OpenAIError
 from .permissions import PermissionsMixin
 from .blacklist import BlacklistMixin
+from .memory import MemoryMixin
 
-class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin):
+class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin, MemoryMixin):
     def __init__(self, bot):
         self.bot = bot
         self.config = Config.get_conf(self, identifier=71717171171717)
         self.default_listening_channel = 1085649787388428370  #
         self.memory_locks = {}  # ✅ Prevents race conditions per channel
-        self.short_term_memory_limit = 100  # ✅ Now retains 100 messages
-        self.summary_retention_limit = 25  # ✅ Now retains 25 summaries
-        self.summary_retention_ratio = 0.8  # ✅ 80% summarization, 20% retention
 
         # ✅ Properly Registered Configuration Keys
         default_global = {"openai_model": "gpt-4o-mini"}
@@ -35,6 +33,8 @@ class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin):
         }
         self.config.register_global(**default_global)
         self.config.register_guild(**default_guild)
+        
+        MemoryMixin.__init__(self, self.config)
 
     async def is_admin(self, ctx):
         admin_role_id = await self.config.guild(ctx.guild).admin_role()
@@ -165,129 +165,6 @@ class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin):
     
         return any(message_lower.startswith(invocation) for invocation in direct_invocation)
 
-    async def summarize_memory(self, ctx, messages):
-        """✅ Generates a structured, compact summary of past conversations for mid-term storage."""
-        summary_prompt = (
-            "Summarize the following conversation into a structured, concise format that retains key details while maximizing brevity. "
-            "The summary should be **organized** into clear sections: "
-            "\n\n📌 **Key Takeaways:** Important facts or conclusions reached."
-            "\n🔹 **Disputed Points:** Areas where opinions or facts conflicted."
-            "\n🗣️ **Notable User Contributions:** Key statements from users that shaped the discussion."
-            "\n📜 **Additional Context:** Any other relevant information."
-            "\n\nEnsure the summary is **dense but not overly verbose**. Avoid unnecessary repetition while keeping essential meaning intact."
-        )
-
-        summary_text = "\n".join(f"{msg['user']}: {msg['content']}" for msg in messages)
-
-        try:
-            api_key = await self.config.guild(ctx.guild).openai_api_key()
-            if not api_key:
-                print("🛠️ DEBUG: No API key found for summarization.")
-                return (
-                    "It appears that I have not been furnished with the necessary credentials to carry out this task. "
-                    "Might I suggest consulting an administrator to rectify this unfortunate oversight?"
-                )
-
-            client = openai.AsyncClient(api_key=api_key)
-            response = await client.chat.completions.create(
-                model="gpt-4o-mini",
-                messages=[
-                    {"role": "system", "content": summary_prompt},
-                    {"role": "user", "content": summary_text}
-                ],
-                max_tokens=2048
-            )
-
-            summary_content = response.choices[0].message.content.strip()
-
-            if not summary_content:
-                print("🛠️ DEBUG: Empty summary received from OpenAI.")
-                return (
-                    "Ah, an unusual predicament indeed! It seems that my attempt at summarization has resulted in "
-                    "a void of information. I shall endeavor to be more verbose next time."
-                )
-
-            return summary_content
-
-        except OpenAIError as e:
-            error_message = f"OpenAI Error: {e}"
-            print(f"🛠️ DEBUG: {error_message}")  # Log error to console
-
-            reginald_responses = [
-                f"Regrettably, I must inform you that I have encountered a bureaucratic obstruction whilst attempting to summarize:\n\n{error_message}",
-                f"It would seem that a most unfortunate technical hiccup has befallen my faculties in the matter of summarization:\n\n{error_message}",
-                f"Ah, it appears I have received an urgent memorandum stating that my summarization efforts have been thwarted:\n\n{error_message}",
-                f"I regret to inform you that my usual eloquence is presently obstructed by an unforeseen complication while summarizing:\n\n{error_message}"
-            ]
-
-        return random.choice(reginald_responses)
-        
-    def extract_topics_from_summary(self, summary):
-        """Dynamically extracts the most important topics from a summary."""
-
-        # 🔹 Extract all words from summary
-        keywords = re.findall(r"\b\w+\b", summary.lower())
-
-        # 🔹 Count word occurrences
-        word_counts = Counter(keywords)
-
-        # 🔹 Remove unimportant words (common filler words)
-        stop_words = {"the", "and", "of", "in", "to", "is", "on", "for", "with", "at", "by", "it", "this", "that", "his", "her"}
-        filtered_words = {word: count for word, count in word_counts.items() if word not in stop_words and len(word) > 2}
-
-        # 🔹 Take the 5 most frequently used words as "topics"
-        topics = sorted(filtered_words, key=filtered_words.get, reverse=True)[:5]
-
-        return topics
-
-    def select_relevant_summaries(self, summaries, prompt):
-        """Selects the most relevant summaries based on topic matching, frequency, and recency weighting."""
-
-        max_summaries = 5 if len(prompt) > 50 else 3  # Use more summaries if the prompt is long
-        current_time = datetime.datetime.now()
-
-        def calculate_weight(summary):
-            """Calculate a weighted score for a summary based on relevance, recency, and frequency."""
-            topic_match = sum(1 for topic in summary["topics"] if topic in prompt.lower())  # Context match score
-            frequency_score = len(summary["topics"])  # More topics = likely more important
-            timestamp = datetime.datetime.strptime(summary["timestamp"], "%Y-%m-%d %H:%M")
-            recency_factor = max(0.1, 1 - ((current_time - timestamp).days / 365))  # Older = lower weight
-
-            return (topic_match * 2) + (frequency_score * 1.5) + (recency_factor * 3)
-
-        # Apply the weighting function and sort by highest weight
-        weighted_summaries = sorted(summaries, key=calculate_weight, reverse=True)
-
-        return weighted_summaries[:max_summaries]  # Return the top-scoring summaries
-
-    def extract_fact_from_response(self, response_text):
-        """
-        Extracts potential long-term knowledge from Reginald's response.
-        This filters out generic responses and focuses on statements about user preferences, traits, and history.
-        """
-
-        # Define patterns that suggest factual knowledge (adjust as needed)
-        fact_patterns = [
-            r"I recall that you (.*?)\.",  # "I recall that you like chess."
-            r"You once mentioned that you (.*?)\.",  # "You once mentioned that you enjoy strategy games."
-            r"Ah, you previously stated that (.*?)\.",  # "Ah, you previously stated that you prefer tea over coffee."
-            r"As I remember, you (.*?)\.",  # "As I remember, you studied engineering."
-            r"I believe you (.*?)\.",  # "I believe you enjoy historical fiction."
-            r"I seem to recall that you (.*?)\.",  # "I seem to recall that you work in software development."
-            r"You have indicated in the past that you (.*?)\.",  # "You have indicated in the past that you prefer single-malt whisky."
-            r"From what I remember, you (.*?)\.",  # "From what I remember, you dislike overly sweet desserts."
-            r"You previously mentioned that (.*?)\.",  # "You previously mentioned that you train in martial arts."
-            r"It is my understanding that you (.*?)\.",  # "It is my understanding that you have a preference for Linux systems."
-            r"If I am not mistaken, you (.*?)\.",  # "If I am not mistaken, you studied philosophy."
-        ]
-
-        for pattern in fact_patterns:
-            match = re.search(pattern, response_text, re.IGNORECASE)
-            if match:
-                return match.group(1)  # Extract the meaningful fact
-
-        return None  # No strong fact found
-
     async def generate_response(self, api_key, messages):
         model = await self.config.openai_model()
         try:
@@ -315,123 +192,6 @@ class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin):
             ]
             return random.choice(reginald_responses)
 
-    @commands.command(name="reginald_clear_short", help="Clears short-term memory for this channel.")
-    @commands.has_permissions(administrator=True)
-    async def clear_short_memory(self, ctx):
-        async with self.config.guild(ctx.guild).short_term_memory() as short_memory:
-            short_memory[ctx.channel.id] = []
-        await ctx.send("Short-term memory for this channel has been cleared.")
-
-    @commands.command(name="reginald_clear_mid", help="Clears mid-term memory (summarized logs).")
-    @commands.has_permissions(administrator=True)
-    async def clear_mid_memory(self, ctx):
-        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
-            mid_memory[ctx.channel.id] = ""
-        await ctx.send("Mid-term memory for this channel has been cleared.")
-
-    @commands.command(name="reginald_clear_long", help="Clears all long-term stored knowledge.")
-    @commands.has_permissions(administrator=True)
-    async def clear_long_memory(self, ctx):
-        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            long_memory.clear()
-        await ctx.send("All long-term memory has been erased.")
-
-    @commands.command(name="reginald_reset_all", help="Completely resets all memory.")
-    @commands.has_permissions(administrator=True)
-    async def reset_all_memory(self, ctx):
-        async with self.config.guild(ctx.guild).short_term_memory() as short_memory:
-            short_memory.clear()
-        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
-            mid_memory.clear()
-        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            long_memory.clear()
-        await ctx.send("All memory has been completely reset.")
-
-    @commands.command(name="reginald_memory_status", help="Displays a memory usage summary.")
-    async def memory_status(self, ctx):
-        async with self.config.guild(ctx.guild).short_term_memory() as short_memory, \
-                   self.config.guild(ctx.guild).mid_term_memory() as mid_memory, \
-                   self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            
-            short_count = sum(len(v) for v in short_memory.values())
-            mid_count = sum(len(v) for v in mid_memory.values())
-            long_count = len(long_memory)
-
-        status_message = (
-            f"📊 **Memory Status:**\n"
-            f"- **Short-Term Messages Stored:** {short_count}\n"
-            f"- **Mid-Term Summaries Stored:** {mid_count}\n"
-            f"- **Long-Term Profiles Stored:** {long_count}\n"
-        )
-        await ctx.send(status_message)
-
-    def normalize_fact(self, fact: str) -> str:  # ✅ Now it's a proper method
-        """Cleans up facts for better duplicate detection."""
-        return re.sub(r"\s+", " ", fact.strip().lower())  # Removes excess spaces)
-    
-    async def update_long_term_memory(self, ctx, user_id: str, fact: str, source_message: str, timestamp: str):
-        """Ensures long-term memory updates are structured, preventing overwrites and tracking historical changes."""
-        fact = self.normalize_fact(fact)  # ✅ Normalize before comparison
-
-        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            if user_id not in long_memory:
-                long_memory[user_id] = {"facts": []}
-
-            user_facts = long_memory[user_id]["facts"]
-
-            for entry in user_facts:
-                if self.normalize_fact(entry["fact"]) == fact:
-                    entry["last_updated"] = timestamp
-                    return
-
-            # Check for conflicting facts (same topic but different details)
-            conflicting_entry = None
-            for entry in user_facts:
-                existing_keywords = set(entry["fact"].lower().split())
-                new_keywords = set(fact.lower().split())
-
-                # If there's significant overlap in keywords, assume it's a conflicting update
-                if len(existing_keywords & new_keywords) >= 2:
-                    conflicting_entry = entry
-                    break
-
-            if "previous_versions" not in conflicting_entry:
-                # ✅ If contradiction found, archive the previous version
-                conflicting_entry["previous_versions"].append({
-                    "fact": conflicting_entry["fact"],
-                    "source": conflicting_entry["source"],
-                    "timestamp": conflicting_entry["timestamp"]
-                })
-                conflicting_entry["fact"] = fact  # Store the latest fact
-                conflicting_entry["source"] = source_message
-                conflicting_entry["timestamp"] = timestamp
-                conflicting_entry["last_updated"] = timestamp
-            else:
-                # ✅ Otherwise, add it as a new fact
-                user_facts.append({
-                    "fact": fact,
-                    "source": source_message,
-                    "timestamp": timestamp,
-                    "last_updated": timestamp,
-                    "previous_versions": []
-                })
-
-    @commands.command(name="reginald_recall", help="Recalls what Reginald knows about a user.")
-    async def recall_user(self, ctx, user: discord.User):
-        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            profile = long_memory.get(str(user.id), {}).get("summary", "No stored information on this user.")
-        await ctx.send(f"📜 **Memory Recall for {user.display_name}:** {profile}")
-
-    @commands.command(name="reginald_forget", help="Forgets a specific user's long-term profile.")
-    @commands.has_permissions(administrator=True)
-    async def forget_user(self, ctx, user: discord.User):
-        async with self.config.guild(ctx.guild).long_term_profiles() as long_memory:
-            if str(user.id) in long_memory:
-                del long_memory[str(user.id)]
-                await ctx.send(f"Reginald has forgotten all stored information about {user.display_name}.")
-            else:
-                await ctx.send(f"No stored knowledge about {user.display_name} to delete.")
-        
     @commands.guild_only()
     @commands.has_permissions(manage_guild=True)
     @commands.command(help="Set the OpenAI API key")
@@ -439,70 +199,6 @@ class ReginaldCog(commands.Cog, PermissionsMixin, BlacklistMixin):
         """Allows an admin to set the OpenAI API key for Reginald."""
         await self.config.guild(ctx.guild).openai_api_key.set(api_key)
         await ctx.send("OpenAI API key set successfully.")
-    
-    @commands.command(name="reginald_set_limit", help="Set the short-term memory message limit.")
-    @commands.has_permissions(administrator=True)
-    async def set_short_term_memory_limit(self, ctx, limit: int):
-        """Allows an admin to change the short-term memory limit dynamically."""
-        if limit < 5:
-            await ctx.send("⚠️ The short-term memory limit must be at least 5.")
-            return
-
-        self.short_term_memory_limit = limit
-        await ctx.send(f"✅ Short-term memory limit set to {limit} messages.")
-
-    @commands.command(name="reginald_memory_limit", help="Displays the current short-term memory message limit.")
-    async def get_short_term_memory_limit(self, ctx):
-        """Displays the current short-term memory limit."""
-        await ctx.send(f"📏 **Current Short-Term Memory Limit:** {self.short_term_memory_limit} messages.")
-
-    @commands.command(name="reginald_summary", help="Displays a selected mid-term summary for this channel.")
-    async def get_mid_term_summary(self, ctx, index: int):
-        """Fetch and display a specific mid-term memory summary by index."""
-        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
-            summaries = mid_memory.get(str(ctx.channel.id), [])
-
-            # Check if there are summaries
-            if not summaries:
-                await ctx.send("⚠️ No summaries available for this channel.")
-                return
-
-            # Validate index (1-based for user-friendliness)
-            if index < 1 or index > len(summaries):
-                await ctx.send(f"⚠️ Invalid index. Please provide a number between **1** and **{len(summaries)}**.")
-                return
-
-            # Fetch the selected summary
-            selected_summary = summaries[index - 1]  # Convert to 0-based index
-            
-            # Format output correctly
-            formatted_summary = (
-                f"📜 **Summary {index} of {len(summaries)}**\n"
-                f"📅 **Date:** {selected_summary['timestamp']}\n"
-                f"🔍 **Topics:** {', '.join(selected_summary['topics']) or 'None'}\n"
-                f"📝 **Summary:**\n\n"
-                f"{selected_summary['summary']}"
-            )
-
-            await self.send_long_message(ctx, formatted_summary)
-
-    @commands.command(name="reginald_summaries", help="Lists available summaries for this channel.")
-    async def list_mid_term_summaries(self, ctx):
-        """Displays a brief list of all available mid-term memory summaries."""
-        async with self.config.guild(ctx.guild).mid_term_memory() as mid_memory:
-            summaries = mid_memory.get(str(ctx.channel.id), [])
-
-            if not summaries:
-                await ctx.send("⚠️ No summaries available for this channel.")
-                return
-
-            summary_list = "\n".join(
-                f"**{i+1}.** 📅 {entry['timestamp']} | 🔍 Topics: {', '.join(entry['topics']) or 'None'}"
-                for i, entry in enumerate(summaries)
-            )
-
-            await ctx.send(f"📚 **Available Summaries:**\n{summary_list[:2000]}")
-
 
     @commands.command(name="reginald_set_listening_channel", help="Set the channel where Reginald listens for messages.")
     @commands.has_permissions(administrator=True)