diff --git a/pyproject.toml b/pyproject.toml
index ac30118..200df8a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "funcnodes-basic"
-version = "0.2.2"
+version = "0.2.3"
 description = "Basic functionalities for funcnodes"
 readme = "README.md"
 classifiers = [ "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",]
diff --git a/src/funcnodes_basic/__init__.py b/src/funcnodes_basic/__init__.py
index 3904961..65e27d0 100644
--- a/src/funcnodes_basic/__init__.py
+++ b/src/funcnodes_basic/__init__.py
@@ -5,9 +5,9 @@
 from .strings import NODE_SHELF as strings_shelf
 from .dicts import NODE_SHELF as dicts_shelf
 from .input import NODE_SHELF as input_shelf
+from .dataclass import NODE_SHELF as dataclass_shelf
 
-
-__version__ = "0.2.2"
+__version__ = "0.2.3"
 
 NODE_SHELF = Shelf(
     nodes=[],
@@ -15,6 +15,7 @@
         input_shelf,
         lists_shelf,
         dicts_shelf,
+        dataclass_shelf,
         strings_shelf,
         math_shelf,
         logic_shelf,
diff --git a/src/funcnodes_basic/dataclass.py b/src/funcnodes_basic/dataclass.py
new file mode 100644
index 0000000..b16e56f
--- /dev/null
+++ b/src/funcnodes_basic/dataclass.py
@@ -0,0 +1,64 @@
+import dataclasses
+import funcnodes_core as fn
+from typing import Any, Dict
+
+
+@fn.NodeDecorator(
+    id="dataclass.to_dict",
+)
+def dataclass_to_dict(instance: Any) -> Dict[str, Any]:
+    """
+    Convert a dataclass instance to a dictionary.
+
+    Args:
+        instance (object): The dataclass instance to convert.
+
+    Returns:
+        dict: The dictionary representation of the dataclass instance.
+    """
+    if not dataclasses.is_dataclass(instance):
+        raise TypeError(f"Expected a dataclass instance, got {type(instance)}")
+
+    return dataclasses.asdict(instance)
+
+
+@fn.NodeDecorator(
+    id="dataclass.get_field",
+    default_io_options={
+        "instance": {
+            "on": {
+                "after_set_value": fn.decorator.update_other_io_value_options(
+                    "field_name",
+                    lambda result: {
+                        "options": [field.name for field in dataclasses.fields(result)]
+                        if dataclasses.is_dataclass(result)
+                        else None,
+                    },
+                )
+            }
+        }
+    },
+)
+def dataclass_get_field(instance: Any, field_name: str) -> Any:
+    """
+    Get a field value from a dataclass instance.
+    """
+    if not dataclasses.is_dataclass(instance):
+        raise TypeError(f"Expected a dataclass instance, got {type(instance)}")
+
+    if not hasattr(instance, field_name):
+        raise AttributeError(
+            f"{instance.__class__.__name__} has no field '{field_name}'"
+        )
+
+    return getattr(instance, field_name)
+
+
+NODE_SHELF = fn.Shelf(
+    nodes=[
+        dataclass_to_dict,
+        dataclass_get_field,
+    ],
+    name="dataclass",
+    description="Nodes for working with dataclasses",
+)
diff --git a/tests/test_dataclass.py b/tests/test_dataclass.py
new file mode 100644
index 0000000..03211f3
--- /dev/null
+++ b/tests/test_dataclass.py
@@ -0,0 +1,141 @@
+from funcnodes_basic import dataclass as dc_nodes
+import pytest_funcnodes
+import pytest
+import funcnodes_core as fn
+from dataclasses import dataclass
+
+
+@dataclass
+class SimpleDataClass:
+    name: str
+    value: int
+    is_active: bool = True
+
+
+@dataclass
+class NestedDataClass:
+    id: int
+    data: SimpleDataClass
+
+
+@pytest_funcnodes.nodetest(dc_nodes.dataclass_to_dict)
+async def test_dataclass_to_dict():
+    node = dc_nodes.dataclass_to_dict()
+
+    # Test with a simple dataclass
+    instance1 = SimpleDataClass(name="Test1", value=100)
+    node.inputs["instance"].value = instance1
+    await node
+    assert node.outputs["out"].value == {
+        "name": "Test1",
+        "value": 100,
+        "is_active": True,
+    }
+
+    # Test with a nested dataclass
+    instance2 = NestedDataClass(
+        id=1, data=SimpleDataClass(name="Nested", value=200, is_active=False)
+    )
+    node.inputs["instance"].value = instance2
+    await node
+    assert node.outputs["out"].value == {
+        "id": 1,
+        "data": {"name": "Nested", "value": 200, "is_active": False},
+    }
+
+    # Test with non-dataclass input
+    node.inputs["instance"].value = {"not": "a dataclass"}
+    with pytest.raises(fn.NodeTriggerError) as excinfo:
+        await node
+    assert "Expected a dataclass instance" in str(excinfo.value)
+
+    node.inputs["instance"].value = 123
+    with pytest.raises(fn.NodeTriggerError) as excinfo:
+        await node
+    assert "Expected a dataclass instance" in str(excinfo.value)
+
+
+@pytest_funcnodes.nodetest(dc_nodes.dataclass_get_field)
+async def test_dataclass_get_field():
+    node = dc_nodes.dataclass_get_field()
+
+    instance_simple = SimpleDataClass(name="TestSimple", value=123)
+    instance_nested = NestedDataClass(
+        id=1, data=SimpleDataClass(name="Nested", value=200, is_active=False)
+    )
+
+    # Test setting instance updates field_name options
+    node.inputs["instance"].value = instance_simple
+    await node  # Initial trigger to process instance and update options
+    assert node.inputs["field_name"].value_options["options"] == [
+        "name",
+        "value",
+        "is_active",
+    ]
+
+    # Test getting a valid field 'name'
+    node.inputs["field_name"].value = "name"
+    await node
+    assert node.outputs["out"].value == "TestSimple"
+
+    # Test getting a valid field 'value'
+    node.inputs["field_name"].value = "value"
+    await node
+    assert node.outputs["out"].value == 123
+
+    # Test getting a valid field 'is_active'
+    node.inputs["field_name"].value = "is_active"
+    await node
+    assert node.outputs["out"].value is True
+
+    # Test with nested dataclass, first update options
+    node.inputs["instance"].value = instance_nested
+
+    assert node.inputs["field_name"].value_options["options"] == ["id", "data"]
+
+    # Test getting 'id' from nested
+    node.inputs["field_name"].value = "id"
+    await node
+    assert node.outputs["out"].value == 1
+
+    # Test getting 'data' (which is another dataclass)
+    node.inputs["field_name"].value = "data"
+    await node
+    assert node.outputs["out"].value == SimpleDataClass(
+        name="Nested", value=200, is_active=False
+    )
+
+    # Test getting non-existent field
+    node.inputs["instance"].value = instance_simple
+    node.inputs["field_name"].value = "non_existent_field"
+    with pytest.raises(fn.NodeTriggerError) as excinfo:
+        await node
+    assert "has no field 'non_existent_field'" in str(excinfo.value)
+
+    # Test with non-dataclass input
+    node.inputs["instance"].value = {"not": "a dataclass"}
+    node.inputs["field_name"].value = "some_field"  # field_name options will be None
+    assert node.inputs["field_name"].value_options["options"] is None
+
+    with pytest.raises(fn.NodeTriggerError) as excinfo:
+        await node  # trigger the func with invalid instance
+    assert "Expected a dataclass instance" in str(excinfo.value)
+
+    # Test dynamic update of options when instance changes
+    node.inputs["instance"].value = instance_nested
+    assert node.inputs["field_name"].value_options["options"] == ["id", "data"]
+    node.inputs["field_name"].value = "id"
+    await node
+    assert node.outputs["out"].value == 1
+
+    node.inputs["instance"].value = instance_simple
+    assert node.inputs["field_name"].value_options["options"] == [
+        "name",
+        "value",
+        "is_active",
+    ]
+    node.inputs[
+        "field_name"
+    ].value = "name"  # previous 'id' is no longer valid for options, but value remains
+    await node
+    assert node.outputs["out"].value == "TestSimple"
diff --git a/uv.lock b/uv.lock
index 8703899..30c447d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -380,7 +380,7 @@ wheels = [
 
 [[package]]
 name = "funcnodes-basic"
-version = "0.2.2"
+version = "0.2.3"
 source = { editable = "." }
 dependencies = [
     { name = "funcnodes" },