diff --git a/m_flow/adapters/cache/cache_db_interface.py b/m_flow/adapters/cache/cache_db_interface.py
index c1ee686..092fc70 100644
--- a/m_flow/adapters/cache/cache_db_interface.py
+++ b/m_flow/adapters/cache/cache_db_interface.py
@@ -16,7 +16,7 @@ class CacheDBInterface(ABC):
     Subclasses must implement lock primitives and Q/A session storage.
     """
 
-    __slots__ = ("_host", "_port", "_key", "_lock")
+    __slots__ = ("_host", "_key", "_lock", "_port")
 
     def __init__(self, host: str, port: int, lock_key: str) -> None:
         self._host = host
diff --git a/m_flow/adapters/vector/embeddings/FastembedEmbeddingEngine.py b/m_flow/adapters/vector/embeddings/FastembedEmbeddingEngine.py
index 4f24752..ee4f03f 100644
--- a/m_flow/adapters/vector/embeddings/FastembedEmbeddingEngine.py
+++ b/m_flow/adapters/vector/embeddings/FastembedEmbeddingEngine.py
@@ -41,13 +41,13 @@ class FastembedEmbeddingEngine(EmbeddingEngine):
     """
 
     __slots__ = (
-        "model",
-        "dimensions",
-        "max_completion_tokens",
         "batch_size",
+        "dimensions",
         "embedding_model",
-        "tokenizer",
+        "max_completion_tokens",
         "mock",
+        "model",
+        "tokenizer",
     )
 
     def __init__(
diff --git a/m_flow/adapters/vector/embeddings/OllamaEmbeddingEngine.py b/m_flow/adapters/vector/embeddings/OllamaEmbeddingEngine.py
index 74a135d..9978cc6 100644
--- a/m_flow/adapters/vector/embeddings/OllamaEmbeddingEngine.py
+++ b/m_flow/adapters/vector/embeddings/OllamaEmbeddingEngine.py
@@ -44,14 +44,14 @@ class OllamaEmbeddingEngine(EmbeddingEngine):
     """
 
     __slots__ = (
-        "model",
+        "batch_size",
         "dimensions",
-        "max_completion_tokens",
         "endpoint",
         "hf_tokenizer_name",
-        "batch_size",
-        "tokenizer",
+        "max_completion_tokens",
         "mock",
+        "model",
+        "tokenizer",
     )
 
     def __init__(
diff --git a/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraph.py b/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraph.py
index 1e79324..d924353 100644
--- a/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraph.py
+++ b/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraph.py
@@ -35,7 +35,7 @@ class MemoryGraph(MemoryAbstractGraph):
     ``directed`` flag controls whether edge semantics are symmetric.
     """
 
-    __slots__ = ("nodes", "edges", "directed")
+    __slots__ = ("directed", "edges", "nodes")
 
     nodes: Dict[str, Node]
     edges: List[Edge]
diff --git a/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraphElements.py b/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraphElements.py
index 10508d3..9bf4968 100644
--- a/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraphElements.py
+++ b/m_flow/knowledge/graph_ops/m_flow_graph/MemoryGraphElements.py
@@ -36,7 +36,7 @@ class Node:
         Default cost when this node was **not** hit by any vector search.
     """
 
-    __slots__ = ("id", "attributes", "_neighbours", "_edges", "status")
+    __slots__ = ("_edges", "_neighbours", "attributes", "id", "status")
 
     def __init__(
         self,
@@ -134,7 +134,7 @@ class Edge:
         Default cost when this edge was **not** matched by vector search.
     """
 
-    __slots__ = ("node1", "node2", "attributes", "directed", "status")
+    __slots__ = ("attributes", "directed", "node1", "node2", "status")
 
     def __init__(
         self,
diff --git a/m_flow/llm/tokenizer/Gemini/adapter.py b/m_flow/llm/tokenizer/Gemini/adapter.py
index bcb2f8e..94d6661 100644
--- a/m_flow/llm/tokenizer/Gemini/adapter.py
+++ b/m_flow/llm/tokenizer/Gemini/adapter.py
@@ -30,7 +30,7 @@ class GeminiTokenizer(TokenizerInterface):
         Upper bound on output tokens for downstream callers.
     """
 
-    __slots__ = ("llm_model", "max_completion_tokens", "_api_client")
+    __slots__ = ("_api_client", "llm_model", "max_completion_tokens")
 
     def __init__(
         self,
diff --git a/m_flow/llm/tokenizer/Mistral/adapter.py b/m_flow/llm/tokenizer/Mistral/adapter.py
index 90ecef4..9ad4274 100644
--- a/m_flow/llm/tokenizer/Mistral/adapter.py
+++ b/m_flow/llm/tokenizer/Mistral/adapter.py
@@ -30,7 +30,7 @@ class MistralTokenizer(TokenizerInterface):
         Downstream hint for maximum generation length.
     """
 
-    __slots__ = ("model", "max_completion_tokens", "_backing_tokenizer")
+    __slots__ = ("_backing_tokenizer", "max_completion_tokens", "model")
 
     def __init__(
         self,
diff --git a/m_flow/pipeline/tasks/task.py b/m_flow/pipeline/tasks/task.py
index b4b4f49..baaa10b 100644
--- a/m_flow/pipeline/tasks/task.py
+++ b/m_flow/pipeline/tasks/task.py
@@ -31,7 +31,7 @@ class Stage:
         Keyword arguments merged into every invocation of *fn*.
     """
 
-    __slots__ = ("_fn", "_defaults", "_kw", "_cfg", "_kind", "_batch")
+    __slots__ = ("_batch", "_cfg", "_defaults", "_fn", "_kind", "_kw")
 
     def __init__(
         self,
diff --git a/m_flow/shared/files/storage/FileBufferedReader.py b/m_flow/shared/files/storage/FileBufferedReader.py
index f185694..19b7ac9 100644
--- a/m_flow/shared/files/storage/FileBufferedReader.py
+++ b/m_flow/shared/files/storage/FileBufferedReader.py
@@ -12,7 +12,7 @@
 class FileBufferedReader(BufferedReader):
     """BufferedReader that exposes an explicit ``name`` property."""
 
-    __slots__ = ("_wrapped", "_label")
+    __slots__ = ("_label", "_wrapped")
 
     def __init__(self, raw_stream, name: str) -> None:
         super().__init__(raw_stream)