diff --git a/pyproject.toml b/pyproject.toml
index e4361311..b3496e42 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,7 +22,6 @@
 
     riotwatcher = "^2.7.1"
     royalspells = "^3.2"
-    markovify = "^0.8.0"
 
     [tool.poetry.dependencies.royalnet]
         version = "^5.2.4"
diff --git a/royalpack/commands/__init__.py b/royalpack/commands/__init__.py
index 11cc504f..7bee64cc 100644
--- a/royalpack/commands/__init__.py
+++ b/royalpack/commands/__init__.py
@@ -30,7 +30,6 @@ from .peertube import PeertubeCommand
 from .funkwhale import FunkwhaleCommand
 from .eval import EvalCommand
 from .exec import ExecCommand
-from .markov import MarkovCommand
 
 # Enter the commands of your Pack here!
 available_commands = [
@@ -65,7 +64,6 @@ available_commands = [
     EvalCommand,
     ExecCommand,
     FunkwhaleCommand,
-    MarkovCommand
 ]
 
 # Don't change this, it should automatically generate __all__
diff --git a/royalpack/commands/markov.py b/royalpack/commands/markov.py
deleted file mode 100644
index f162f9bb..00000000
--- a/royalpack/commands/markov.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from typing import *
-from royalnet.commands import *
-# import markovify
-# import os
-# import re
-
-
-class MarkovCommand(Command):
-    name: str = "markov"
-
-    description: str = "Genera una frase da una catena di Markov."
-
-    syntax: str = "[modello]"
-
-    # _texts: Dict[str, markovify.NewlineText] = {}
-
-    def __init__(self, interface: CommandInterface):
-        super().__init__(interface)
-        # if interface.name == "telegram":
-        #     files: List[str] = tuple(os.walk(self.config["Markov"]["models_directory"]))[0][2]
-        #     for file in files:
-        #         match = re.match(r"(\S+)\.json$", file)
-        #         if match is None:
-        #             continue
-        #         model_name = match.group(1)
-        #         with open(os.path.join(self.config["Markov"]["models_directory"], file)) as f:
-        #             self._texts[model_name] = markovify.NewlineText.from_json(f.read())
-
-    async def run(self, args: CommandArgs, data: CommandData) -> None:
-        raise CommandError(f"{self} è disattivato. Riprova tra un po' di giorni!")
-        # if self.interface.name != "telegram":
-        #     raise UnsupportedError("[c]markov[/c] funziona solo su Telegram.")
-        # model_name = args.optional(0, self.config["Markov"]["default_model"])
-        # try:
-        #     sentence = self._texts[model_name].make_sentence()
-        # except KeyError:
-        #     raise InvalidInputError("Il modello richiesto non esiste.")
-        # if sentence is None or sentence == "":
-        #     await data.reply(f"💭 Il bot ([c]{model_name}[/c])... non dice niente. Riprova!")
-        # else:
-        #     await data.reply(f'💬 Il bot ([c]{model_name}[/c]) dice:\n{sentence}')