diff --git a/src/pycram/external_interfaces/knowrob.py b/src/pycram/external_interfaces/knowrob.py
new file mode 100644
index 000000000..f58a2556e
--- /dev/null
+++ b/src/pycram/external_interfaces/knowrob.py
@@ -0,0 +1,126 @@
+import logging
+import os
+import sys
+import rosservice
+
+from typing_extensions import Dict, List, Union
+
+SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(SCRIPT_DIR, os.pardir, os.pardir, "neem-interface", "src"))
+
+if 'rosprolog/query' in rosservice.get_service_list():
+    from neem_interface_python.neem_interface import NEEMInterface
+    from neem_interface_python.rosprolog_client import Prolog, PrologException, atom
+
+    neem_interface = NEEMInterface()
+    prolog = Prolog()
+
+else:
+    logging.warning("No KnowRob services found, knowrob is not available")
+
+
+#logging.setLoggerClass(logging.Logger)
+logger = logging.getLogger(__name__)
+from pycram import ch
+
+logger.addHandler(ch)
+logger.setLevel(logging.DEBUG)
+
+
+def all_solutions(q):
+    logging.info(q)
+    r = prolog.all_solutions(q)
+    return r
+
+
+def once(q) -> Union[List, Dict]:
+    r = all_solutions(q)
+    if len(r) == 0:
+        return []
+    return r[0]
+
+
+def load_beliefstate(path: str):
+    logging.info(f"Restoring beliefstate from {path}")
+    once(f"remember('{path}')")
+
+
+def clear_beliefstate():
+    logging.info("Clearing beliefstate")
+    once("mem_clear_memory")
+
+
+def load_owl(path, ns_alias=None, ns_url=None):
+    """
+    Example: load_owl("package://external_interfaces/owl/maps/iai_room_v1.owl", "map", "http://knowrob.org/kb/v1/IAI-Kitchen.owl#")
+    :param str path: path to log folder
+    :rtype: bool
+    """
+    if ns_alias is None or ns_url is None:            # Load without namespace
+        q = "load_owl('{}')".format(path)
+    else:
+        q = "load_owl('{0}', [namespace({1},'{2}')])".format(path, ns_alias, ns_url)
+    try:
+        once(q)
+        return True
+    except PrologException as e:
+        logging.warning(e)
+        return False
+
+
+def new_iri(owl_class: str):
+    res = once(f"kb_call(new_iri(IRI, {owl_class}))")
+    return res["IRI"]
+
+
+def object_type(object_iri: str) -> str:
+    """
+    :param object_iri: The name (identifier) of the object individual in the KnowRob knowledge base
+    """
+    res = once(f"kb_call(instance_of({atom(object_iri)}, Class))")
+    return res["Class"]
+
+
+def instances_of(type_: str) -> List[str]:
+    """
+    :param type_: An object type (i.e. class)
+    """
+    all_sols = all_solutions(f"kb_call(instance_of(Individual, {atom(type_)}))")
+    return [sol["Individual"] for sol in all_sols]
+
+
+def object_pose(object_iri: str, reference_cs: str = "world", timestamp=None) -> List[float]:
+    """
+    :param object_iri: The name (identifier) of the object individual in the KnowRob knowledge base
+    :param reference_cs: The coordinate system relative to which the pose should be defined
+    """
+    if timestamp is None:
+        res = once(f"mem_tf_get({atom(object_iri)}, {atom(reference_cs)}, Pos, Ori)")
+    else:
+        res = once(f"mem_tf_get({atom(object_iri)}, {atom(reference_cs)}, Pos, Ori, {timestamp})")
+    pos = res["Pos"]
+    ori = res["Ori"]
+    return pos + ori
+
+
+def grasp_pose(object_iri: str) -> List[float]:
+    query = f"""
+    kb_call(has_grasp_point({atom(object_iri)}, GraspPointName)),
+    mem_tf_get(GraspPointName, world, Pos, Ori)
+    """
+    res = once(query)
+    pos = res["Pos"]
+    ori = res["Ori"]
+    return pos + ori
+
+
+def knowrob_string_to_pose(pose_as_string: str) -> List[float]:
+    reference_frame = ""
+    for i, char in enumerate(pose_as_string[1:-1]):
+        if char == ",":
+            break
+        reference_frame += char
+    pos, ori = pose_as_string[1+i+2:-2].split("],[")
+    xyz = list(map(float, pos.split(",")))
+    qxyzw = list(map(float, ori.split(",")))
+    return xyz + qxyzw
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