diff --git a/.github/mypy/mypy.ini b/.github/mypy/mypy.ini
index 1a92b86d..c80af3de 100644
--- a/.github/mypy/mypy.ini
+++ b/.github/mypy/mypy.ini
@@ -79,4 +79,7 @@ ignore_missing_imports = True
 ignore_missing_imports = True
 
 [mypy-dncil.*]
-ignore_missing_imports = True
\ No newline at end of file
+ignore_missing_imports = True
+
+[mypy-netnode.*]
+ignore_missing_imports = True
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9ea398d1..13b26d9e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -121,6 +121,7 @@
 - verify rule metadata using Pydantic #1167 @mr-tz
 - extractor: make read consistent with file object behavior #1254 @mr-tz
 - fix: UnboundLocalError x2 #1302 @mike-hunhoff
+- cache capa results across IDA sessions #1279 @mr-tz
 
 ### Development
 
diff --git a/capa/ida/helpers.py b/capa/ida/helpers.py
index 2d12e931..86584410 100644
--- a/capa/ida/helpers.py
+++ b/capa/ida/helpers.py
@@ -5,20 +5,25 @@
 # Unless required by applicable law or agreed to in writing, software distributed under the License
 #  is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and limitations under the License.
-
+import json
 import logging
 import datetime
 import contextlib
+from typing import Optional
 
 import idc
 import idaapi
 import idautils
 import ida_bytes
 import ida_loader
+from netnode import netnode
 
 import capa
 import capa.version
+import capa.render.utils as rutils
 import capa.features.common
+import capa.render.result_document
+from capa.features.address import AbsoluteVirtualAddress
 
 logger = logging.getLogger("capa")
 
@@ -34,6 +39,10 @@ SUPPORTED_FILE_TYPES = (
 # arch type as returned by idainfo.procname
 SUPPORTED_ARCH_TYPES = ("metapc",)
 
+CAPA_NETNODE = f"$ com.mandiant.capa.v{capa.version.__version__}"
+NETNODE_RESULTS = "results"
+NETNODE_RULES_CACHE_ID = "rules-cache-id"
+
 
 def inform_user_ida_ui(message):
     idaapi.info("%s. Please refer to IDA Output window for more information." % message)
@@ -191,3 +200,53 @@ class IDAIO:
 
     def close(self):
         return
+
+
+def save_cached_results(resdoc):
+    logger.debug("saving cached capa results to netnode '%s'", CAPA_NETNODE)
+    n = netnode.Netnode(CAPA_NETNODE)
+    n[NETNODE_RESULTS] = resdoc.json()
+
+
+def idb_contains_cached_results() -> bool:
+    try:
+        n = netnode.Netnode(CAPA_NETNODE)
+        return bool(n.get(NETNODE_RESULTS))
+    except netnode.NetnodeCorruptError as e:
+        logger.error("%s", e, exc_info=True)
+        return False
+
+
+def load_and_verify_cached_results() -> Optional[capa.render.result_document.ResultDocument]:
+    """verifies that cached results have valid (mapped) addresses for the current database"""
+    logger.debug("loading cached capa results from netnode '%s'", CAPA_NETNODE)
+
+    n = netnode.Netnode(CAPA_NETNODE)
+    doc = capa.render.result_document.ResultDocument.parse_obj(json.loads(n[NETNODE_RESULTS]))
+
+    for rule in rutils.capability_rules(doc):
+        for location_, _ in rule.matches:
+            location = location_.to_capa()
+            if isinstance(location, AbsoluteVirtualAddress):
+                ea = int(location)
+                if not idaapi.is_mapped(ea):
+                    logger.error("cached address %s is not a valid location in this database", hex(ea))
+                    return None
+    return doc
+
+
+def save_rules_cache_id(ruleset_id):
+    logger.debug("saving ruleset ID to netnode '%s'", CAPA_NETNODE)
+    n = netnode.Netnode(CAPA_NETNODE)
+    n[NETNODE_RULES_CACHE_ID] = ruleset_id
+
+
+def load_rules_cache_id():
+    n = netnode.Netnode(CAPA_NETNODE)
+    return n[NETNODE_RULES_CACHE_ID]
+
+
+def delete_cached_results():
+    logger.debug("deleting cached capa data")
+    n = netnode.Netnode(CAPA_NETNODE)
+    del n[NETNODE_RESULTS]
diff --git a/capa/ida/plugin/README.md b/capa/ida/plugin/README.md
index 50e42714..6dd07002 100644
--- a/capa/ida/plugin/README.md
+++ b/capa/ida/plugin/README.md
@@ -44,8 +44,12 @@ You can install capa explorer using the following steps:
    1. Use the following command to view the version of capa you have installed:
    ```commandline
     $ pip show flare-capa
+    OR
+    $ capa --version
     ```
 3. Copy [capa_explorer.py](https://raw.githubusercontent.com/mandiant/capa/master/capa/ida/plugin/capa_explorer.py) to your IDA plugins directory
+   - find your plugin directories via `idaapi.get_ida_subdirs("plugins")` or see this [Hex-Rays blog](https://hex-rays.com/blog/igors-tip-of-the-week-103-sharing-plugins-between-ida-installs/)
+   - common paths are `%APPDATA%\Hex-Rays\IDA Pro\plugins` (Windows) or `$HOME/.idapro/plugins` on Linux/Mac
 
 ### Supported File Types
 
@@ -70,8 +74,9 @@ can update using the `Settings` button.
 #### Tips for Program Analysis
 
 * Start analysis by clicking the `Analyze` button
+  * capa explorer caches results to the database and reuses them across IDA sessions 
 * Reset the plugin user interface and remove highlighting from your Disassembly view by clicking the `Reset` button
-* Change your local capa rules directory and other default settings by clicking the `Settings` button
+* Change your local capa rules directory, auto analysis settings, and other default settings by clicking the `Settings` button
 * Hover your cursor over a rule match to view the source content of the rule
 * Double-click the `Address` column to navigate your Disassembly view to the address of the associated feature
 * Double-click a result in the `Rule Information` column to expand its children
diff --git a/capa/ida/plugin/form.py b/capa/ida/plugin/form.py
index 146cf3b9..c1883ab5 100644
--- a/capa/ida/plugin/form.py
+++ b/capa/ida/plugin/form.py
@@ -5,7 +5,6 @@
 # Unless required by applicable law or agreed to in writing, software distributed under the License
 #  is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and limitations under the License.
-
 import os
 import copy
 import logging
@@ -27,8 +26,9 @@ import capa.render.json
 import capa.features.common
 import capa.render.result_document
 import capa.features.extractors.ida.extractor
-from capa.rules import Rule, RuleSet
+from capa.rules import Rule
 from capa.engine import FeatureSet
+from capa.rules.cache import compute_ruleset_cache_identifier
 from capa.ida.plugin.icon import QICON
 from capa.ida.plugin.view import (
     CapaExplorerQtreeView,
@@ -50,6 +50,7 @@ settings = ida_settings.IDASettings("capa")
 CAPA_SETTINGS_RULE_PATH = "rule_path"
 CAPA_SETTINGS_RULEGEN_AUTHOR = "rulegen_author"
 CAPA_SETTINGS_RULEGEN_SCOPE = "rulegen_scope"
+CAPA_SETTINGS_ANALYZE = "analyze"
 
 
 CAPA_OFFICIAL_RULESET_URL = f"https://github.com/mandiant/capa-rules/releases/tag/v{capa.version.__version__}"
@@ -60,8 +61,16 @@ from enum import IntFlag
 
 
 class Options(IntFlag):
-    DEFAULT = 0
-    ANALYZE = 1  # Runs the analysis when starting the explorer
+    NO_ANALYSIS = 0  # No auto analysis
+    ANALYZE_AUTO = 1  # Runs the analysis when starting the explorer, see details below
+    ANALYZE_ASK = 2
+
+
+AnalyzeOptionsText = {
+    Options.NO_ANALYSIS: "Do not analyze",
+    Options.ANALYZE_AUTO: "Analyze on plugin start (load cached results)",
+    Options.ANALYZE_ASK: "Analyze on plugin start (ask before loading cached results)",
+}
 
 
 def write_file(path, data):
@@ -115,6 +124,10 @@ class CapaSettingsInputDialog(QtWidgets.QDialog):
         self.edit_rule_author = QtWidgets.QLineEdit(settings.user.get(CAPA_SETTINGS_RULEGEN_AUTHOR, ""))
         self.edit_rule_scope = QtWidgets.QComboBox()
         self.edit_rules_link = QtWidgets.QLabel()
+        self.edit_analyze = QtWidgets.QComboBox()
+        self.btn_delete_results = QtWidgets.QPushButton(
+            self.style().standardIcon(QtWidgets.QStyle.SP_BrowserStop), "Delete cached capa results"
+        )
 
         self.edit_rules_link.setText(
             f'<a href="{CAPA_OFFICIAL_RULESET_URL}">Download and extract official capa rules</a>'
@@ -122,15 +135,28 @@ class CapaSettingsInputDialog(QtWidgets.QDialog):
         self.edit_rules_link.setOpenExternalLinks(True)
 
         scopes = ("file", "function", "basic block", "instruction")
-
         self.edit_rule_scope.addItems(scopes)
         self.edit_rule_scope.setCurrentIndex(scopes.index(settings.user.get(CAPA_SETTINGS_RULEGEN_SCOPE, "function")))
 
+        self.edit_analyze.addItems(AnalyzeOptionsText.values())
+        # set the default analysis option here
+        self.edit_analyze.setCurrentIndex(settings.user.get(CAPA_SETTINGS_ANALYZE, Options.NO_ANALYSIS))
+
         buttons = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel, self)
 
         layout = QtWidgets.QFormLayout(self)
-        layout.addRow("capa rules", self.edit_rule_path)
+        layout.addRow("capa rules path", self.edit_rule_path)
         layout.addRow("", self.edit_rules_link)
+
+        layout.addRow("Plugin start option", self.edit_analyze)
+        if capa.ida.helpers.idb_contains_cached_results():
+            self.btn_delete_results.clicked.connect(capa.ida.helpers.delete_cached_results)
+            self.btn_delete_results.clicked.connect(lambda state: self.btn_delete_results.setEnabled(False))
+        else:
+            self.btn_delete_results.setEnabled(False)
+        layout.addRow("", self.btn_delete_results)
+
+        layout.addRow("Rule Generator options", None)
         layout.addRow("Default rule author", self.edit_rule_author)
         layout.addRow("Default rule scope", self.edit_rule_scope)
 
@@ -141,13 +167,18 @@ class CapaSettingsInputDialog(QtWidgets.QDialog):
 
     def get_values(self):
         """ """
-        return self.edit_rule_path.text(), self.edit_rule_author.text(), self.edit_rule_scope.currentText()
+        return (
+            self.edit_rule_path.text(),
+            self.edit_rule_author.text(),
+            self.edit_rule_scope.currentText(),
+            self.edit_analyze.currentIndex(),
+        )
 
 
 class CapaExplorerForm(idaapi.PluginForm):
     """form element for plugin interface"""
 
-    def __init__(self, name: str, option=Options.DEFAULT):
+    def __init__(self, name: str, option=Options.NO_ANALYSIS):
         """initialize form elements"""
         super().__init__()
 
@@ -178,6 +209,8 @@ class CapaExplorerForm(idaapi.PluginForm):
         self.view_tabs: QtWidgets.QTabWidget
         self.view_tab_rulegen = None
         self.view_status_label: QtWidgets.QLabel
+        self.view_status_label_analysis_cache: str = ""
+        self.view_status_label_rulegen_cache: str = ""
         self.view_buttons: QtWidgets.QHBoxLayout
         self.view_analyze_button: QtWidgets.QPushButton
         self.view_reset_button: QtWidgets.QPushButton
@@ -195,8 +228,9 @@ class CapaExplorerForm(idaapi.PluginForm):
 
         self.Show()
 
-        if (option & Options.ANALYZE) == Options.ANALYZE:
-            self.analyze_program()
+        analyze = settings.user.get(CAPA_SETTINGS_ANALYZE)
+        if analyze != Options.NO_ANALYSIS or (option & Options.ANALYZE_AUTO) == Options.ANALYZE_AUTO:
+            self.analyze_program(analyze=analyze)
 
     def OnCreate(self, form):
         """called when plugin form is created
@@ -254,6 +288,9 @@ class CapaExplorerForm(idaapi.PluginForm):
         self.load_view_status_label()
         self.load_view_buttons()
 
+        # reset on tab change program analysis/rule generator
+        self.view_tabs.currentChanged.connect(self.slot_tabview_change)
+
         # load parent view
         self.load_view_parent()
 
@@ -280,16 +317,21 @@ class CapaExplorerForm(idaapi.PluginForm):
 
     def load_view_status_label(self):
         """load status label"""
+        status: str = "Click Analyze to get started..."
+
         label = QtWidgets.QLabel()
         label.setAlignment(QtCore.Qt.AlignLeft)
-        label.setText("Click Analyze to get started...")
+        label.setText(status)
+
+        self.view_status_label_rulegen_cache = status
+        self.view_status_label_analysis_cache = status
 
         self.view_status_label = label
 
     def load_view_buttons(self):
         """load the button controls"""
         analyze_button = QtWidgets.QPushButton("Analyze")
-        reset_button = QtWidgets.QPushButton("Reset")
+        reset_button = QtWidgets.QPushButton("Reset Selections")
         save_button = QtWidgets.QPushButton("Save")
         settings_button = QtWidgets.QPushButton("Settings")
 
@@ -609,134 +651,221 @@ class CapaExplorerForm(idaapi.PluginForm):
             settings.user[CAPA_SETTINGS_RULE_PATH] = ""
             return None
 
-        return None
-
-    def load_capa_results(self, use_cache=False):
+    def load_capa_results(self, new_analysis, from_cache):
         """run capa analysis and render results in UI
 
         note: this function must always return, exception or not, in order for plugin to safely close the IDA
         wait box
         """
-        if not use_cache:
-            # new analysis, new doc
-            self.resdoc_cache = None
-            self.process_total = 0
-            self.process_count = 1
+        new_view_status: str = self.view_status_label.text()
+        self.set_view_status_label("Loading...")
 
-            def slot_progress_feature_extraction(text):
-                """slot function to handle feature extraction progress updates"""
-                update_wait_box("%s (%d of %d)" % (text, self.process_count, self.process_total))
-                self.process_count += 1
+        if new_analysis:
+            if from_cache:
+                # load cached results from disk
+                try:
+                    update_wait_box("loading rules")
 
-            update_wait_box("Initializing feature extractor")
+                    self.program_analysis_ruleset_cache = self.load_capa_rules()
+                    if self.program_analysis_ruleset_cache is None:
+                        return False
 
-            try:
-                extractor = CapaExplorerFeatureExtractor()
-                extractor.indicator.progress.connect(slot_progress_feature_extraction)
-            except Exception as e:
-                logger.error("Failed to initialize feature extractor (error: %s).", e, exc_info=True)
-                return False
+                    if ida_kernwin.user_cancelled():
+                        logger.info("User cancelled analysis.")
+                        return False
 
-            if ida_kernwin.user_cancelled():
-                logger.info("User cancelled analysis.")
-                return False
+                    update_wait_box("loading cached results")
 
-            update_wait_box("calculating analysis")
+                    self.resdoc_cache = capa.ida.helpers.load_and_verify_cached_results()
+                    if self.resdoc_cache is None:
+                        logger.error("Cached results are not valid. Please reanalyze your program.")
+                        return False
 
-            try:
-                self.process_total += len(tuple(extractor.get_functions()))
-            except Exception as e:
-                logger.error("Failed to calculate analysis (error: %s).", e, exc_info=True)
-                return False
+                    if ida_kernwin.user_cancelled():
+                        logger.info("User cancelled analysis.")
+                        return False
 
-            if ida_kernwin.user_cancelled():
-                logger.info("User cancelled analysis.")
-                return False
+                    update_wait_box("verifying cached results")
 
-            update_wait_box("loading rules")
-
-            self.program_analysis_ruleset_cache = self.load_capa_rules()
-            if self.program_analysis_ruleset_cache is None:
-                return False
-
-            # matching operations may update rule instances,
-            # so we'll work with a local copy of the ruleset.
-            ruleset = copy.deepcopy(self.program_analysis_ruleset_cache)
-
-            if ida_kernwin.user_cancelled():
-                logger.info("User cancelled analysis.")
-                return False
-
-            update_wait_box("extracting features")
-
-            try:
-                meta = capa.ida.helpers.collect_metadata([settings.user[CAPA_SETTINGS_RULE_PATH]])
-                capabilities, counts = capa.main.find_capabilities(ruleset, extractor, disable_progress=True)
-                meta["analysis"].update(counts)
-                meta["analysis"]["layout"] = capa.main.compute_layout(ruleset, extractor, capabilities)
-            except UserCancelledError:
-                logger.info("User cancelled analysis.")
-                return False
-            except Exception as e:
-                logger.error("Failed to extract capabilities from database (error: %s)", e, exc_info=True)
-                return False
-
-            update_wait_box("checking for file limitations")
-
-            try:
-                # support binary files specifically for x86/AMD64 shellcode
-                # warn user binary file is loaded but still allow capa to process it
-                # TODO: check specific architecture of binary files based on how user configured IDA processors
-                if idaapi.get_file_type_name() == "Binary file":
-                    logger.warning("-" * 80)
-                    logger.warning(" Input file appears to be a binary file.")
-                    logger.warning(" ")
-                    logger.warning(
-                        " capa currently only supports analyzing binary files containing x86/AMD64 shellcode with IDA."
+                    view_status_rules: str = "%s (%d rules)" % (
+                        settings.user[CAPA_SETTINGS_RULE_PATH],
+                        self.program_analysis_ruleset_cache.source_rule_count,
                     )
-                    logger.warning(
-                        " This means the results may be misleading or incomplete if the binary file loaded in IDA is not x86/AMD64."
+
+                    # warn user about potentially outdated rules, depending on the use-case this may be expected
+                    if (
+                        compute_ruleset_cache_identifier(self.program_analysis_ruleset_cache)
+                        != capa.ida.helpers.load_rules_cache_id()
+                    ):
+                        # expand items and resize columns, otherwise view looks incomplete until user closes the popup
+                        self.view_tree.reset_ui()
+
+                        capa.ida.helpers.inform_user_ida_ui("Cached results were generated using different capas rules")
+                        logger.warning(
+                            "capa is showing you cached results from a previous analysis run. Your rules have changed since and you should reanalyze the program to see new results."
+                        )
+                        view_status_rules = "no rules matched for cache"
+
+                    new_view_status = "capa rules: %s, cached results (created %s)" % (
+                        view_status_rules,
+                        self.resdoc_cache.meta.timestamp.strftime("%Y-%m-%d %H:%M:%S"),
                     )
-                    logger.warning(
-                        " If you don't know the input file type, you can try using the `file` utility to guess it."
+                except Exception as e:
+                    logger.error("Failed to load cached capa results (error: %s).", e, exc_info=True)
+                    return False
+            else:
+                # load results from fresh anlaysis
+                self.resdoc_cache = None
+                self.process_total = 0
+                self.process_count = 1
+
+                def slot_progress_feature_extraction(text):
+                    """slot function to handle feature extraction progress updates"""
+                    update_wait_box("%s (%d of %d)" % (text, self.process_count, self.process_total))
+                    self.process_count += 1
+
+                update_wait_box("initializing feature extractor")
+
+                try:
+                    extractor = CapaExplorerFeatureExtractor()
+                    extractor.indicator.progress.connect(slot_progress_feature_extraction)
+                except Exception as e:
+                    logger.error("Failed to initialize feature extractor (error: %s).", e, exc_info=True)
+                    return False
+
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
+
+                update_wait_box("calculating analysis")
+
+                try:
+                    self.process_total += len(tuple(extractor.get_functions()))
+                except Exception as e:
+                    logger.error("Failed to calculate analysis (error: %s).", e, exc_info=True)
+                    return False
+
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
+
+                update_wait_box("loading rules")
+
+                self.program_analysis_ruleset_cache = self.load_capa_rules()
+                if self.program_analysis_ruleset_cache is None:
+                    return False
+
+                # matching operations may update rule instances,
+                # so we'll work with a local copy of the ruleset.
+                ruleset = copy.deepcopy(self.program_analysis_ruleset_cache)
+
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
+
+                update_wait_box("extracting features")
+
+                try:
+                    meta = capa.ida.helpers.collect_metadata([settings.user[CAPA_SETTINGS_RULE_PATH]])
+                    capabilities, counts = capa.main.find_capabilities(ruleset, extractor, disable_progress=True)
+                    meta["analysis"].update(counts)
+                    meta["analysis"]["layout"] = capa.main.compute_layout(ruleset, extractor, capabilities)
+                except UserCancelledError:
+                    logger.info("User cancelled analysis.")
+                    return False
+                except Exception as e:
+                    logger.error("Failed to extract capabilities from database (error: %s)", e, exc_info=True)
+                    return False
+
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
+
+                update_wait_box("checking for file limitations")
+
+                try:
+                    # support binary files specifically for x86/AMD64 shellcode
+                    # warn user binary file is loaded but still allow capa to process it
+                    # TODO: check specific architecture of binary files based on how user configured IDA processors
+                    if idaapi.get_file_type_name() == "Binary file":
+                        logger.warning("-" * 80)
+                        logger.warning(" Input file appears to be a binary file.")
+                        logger.warning(" ")
+                        logger.warning(
+                            " capa currently only supports analyzing binary files containing x86/AMD64 shellcode with IDA."
+                        )
+                        logger.warning(
+                            " This means the results may be misleading or incomplete if the binary file loaded in IDA is not x86/AMD64."
+                        )
+                        logger.warning(
+                            " If you don't know the input file type, you can try using the `file` utility to guess it."
+                        )
+                        logger.warning("-" * 80)
+
+                        capa.ida.helpers.inform_user_ida_ui("capa encountered file type warnings during analysis")
+
+                    if capa.main.has_file_limitation(ruleset, capabilities, is_standalone=False):
+                        capa.ida.helpers.inform_user_ida_ui("capa encountered file limitation warnings during analysis")
+                except Exception as e:
+                    logger.error("Failed to check for file limitations (error: %s)", e, exc_info=True)
+                    return False
+
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
+
+                update_wait_box("collecting results")
+
+                try:
+                    self.resdoc_cache = capa.render.result_document.ResultDocument.from_capa(
+                        meta, ruleset, capabilities
                     )
-                    logger.warning("-" * 80)
+                except Exception as e:
+                    logger.error("Failed to collect results (error: %s)", e, exc_info=True)
+                    return False
 
-                    capa.ida.helpers.inform_user_ida_ui("capa encountered file type warnings during analysis")
+                if ida_kernwin.user_cancelled():
+                    logger.info("User cancelled analysis.")
+                    return False
 
-                if capa.main.has_file_limitation(ruleset, capabilities, is_standalone=False):
-                    capa.ida.helpers.inform_user_ida_ui("capa encountered file limitation warnings during analysis")
-            except Exception as e:
-                logger.error("Failed to check for file limitations (error: %s)", e, exc_info=True)
-                return False
+                update_wait_box("saving results to database")
 
-            if ida_kernwin.user_cancelled():
-                logger.info("User cancelled analysis.")
-                return False
+                # cache results across IDA sessions
+                try:
+                    capa.ida.helpers.save_cached_results(self.resdoc_cache)
+                    ruleset_id = compute_ruleset_cache_identifier(ruleset)
+                    capa.ida.helpers.save_rules_cache_id(ruleset_id)
+                    logger.info("Saved cached results to database")
+                except Exception as e:
+                    logger.error("Failed to save results to database (error: %s)", e, exc_info=True)
+                    return False
 
-            update_wait_box("rendering results")
+                new_view_status = "capa rules: %s (%d rules)" % (
+                    settings.user[CAPA_SETTINGS_RULE_PATH],
+                    self.program_analysis_ruleset_cache.source_rule_count,
+                )
 
-            try:
-                self.resdoc_cache = capa.render.result_document.ResultDocument.from_capa(meta, ruleset, capabilities)
-            except Exception as e:
-                logger.error("Failed to collect results (error: %s)", e, exc_info=True)
-                return False
+        # regardless of new analysis, render results - e.g. we may only want to render results after checking
+        # show results by function
+
+        if ida_kernwin.user_cancelled():
+            logger.info("User cancelled analysis.")
+            return False
+
+        update_wait_box("rendering results")
 
         try:
-            # either the results are cached and the doc already exists,
-            # or the doc was just created above
+            # either the results are cached and the doc already exists, or the doc was just created above
             assert self.resdoc_cache is not None
             assert self.program_analysis_ruleset_cache is not None
 
             self.model_data.render_capa_doc(self.resdoc_cache, self.view_show_results_by_function.isChecked())
-            self.set_view_status_label(
-                "capa rules: %s (%d rules)"
-                % (settings.user[CAPA_SETTINGS_RULE_PATH], self.program_analysis_ruleset_cache.source_rule_count)
-            )
         except Exception as e:
             logger.error("Failed to render results (error: %s)", e, exc_info=True)
             return False
 
+        self.set_view_status_label(new_view_status)
+
         return True
 
     def reset_view_tree(self):
@@ -749,16 +878,25 @@ class CapaExplorerForm(idaapi.PluginForm):
         self.view_search_bar.setText("")
         self.view_tree.reset_ui()
 
-    def analyze_program(self, use_cache=False):
+    def analyze_program(self, new_analysis=True, from_cache=False, analyze=Options.ANALYZE_ASK):
         """ """
+        # determine cache handling before model/view is reset in case user cancels
+        if new_analysis:
+            try:
+                ida_kernwin.show_wait_box("capa explorer")
+                from_cache = self.get_ask_use_persistent_cache(analyze)
+            except UserCancelledError:
+                return
+            finally:
+                ida_kernwin.hide_wait_box()
+
         self.range_model_proxy.invalidate()
         self.search_model_proxy.invalidate()
         self.model_data.reset()
         self.model_data.clear()
-        self.set_view_status_label("Loading...")
 
         ida_kernwin.show_wait_box("capa explorer")
-        success = self.load_capa_results(use_cache)
+        success = self.load_capa_results(new_analysis, from_cache)
         ida_kernwin.hide_wait_box()
 
         self.reset_view_tree()
@@ -767,13 +905,71 @@ class CapaExplorerForm(idaapi.PluginForm):
             self.set_view_status_label("Click Analyze to get started...")
             capa.ida.helpers.inform_user_ida_ui("Failed to load capabilities")
 
+    def get_ask_use_persistent_cache(self, analyze):
+        if analyze and analyze != Options.NO_ANALYSIS:
+
+            update_wait_box("checking for cached results")
+
+            try:
+                has_cache: bool = capa.ida.helpers.idb_contains_cached_results()
+            except Exception as e:
+                capa.ida.helpers.inform_user_ida_ui("Failed to check for cached results, reanalyzing program")
+                logger.error("Failed to check for cached results (error: %s)", e, exc_info=True)
+                return False
+
+            if ida_kernwin.user_cancelled():
+                logger.info("User cancelled analysis.")
+                raise UserCancelledError
+
+            if has_cache:
+
+                if analyze == Options.ANALYZE_AUTO:
+                    return True
+
+                elif analyze == Options.ANALYZE_ASK:
+
+                    update_wait_box("verifying cached results")
+
+                    try:
+                        results: Optional[
+                            capa.render.result_document.ResultDocument
+                        ] = capa.ida.helpers.load_and_verify_cached_results()
+                    except Exception as e:
+                        capa.ida.helpers.inform_user_ida_ui("Failed to verify cached results, reanalyzing program")
+                        logger.error("Failed to verify cached results (error: %s)", e, exc_info=True)
+                        return False
+
+                    if results is None:
+                        capa.ida.helpers.inform_user_ida_ui("Cached results are not valid, reanalyzing program")
+                        logger.error("Cached results are not valid.")
+                        return False
+
+                    btn_id = ida_kernwin.ask_buttons(
+                        "Load existing results",
+                        "Reanalyze program",
+                        "",
+                        ida_kernwin.ASKBTN_YES,
+                        f"This database contains capa results generated on "
+                        f"{results.meta.timestamp.strftime('%Y-%m-%d at %H:%M:%S')}.\n"
+                        f"Load existing data or analyze program again?",
+                    )
+
+                    if btn_id == ida_kernwin.ASKBTN_CANCEL:
+                        raise UserCancelledError
+
+                    return btn_id == ida_kernwin.ASKBTN_YES
+                else:
+                    logger.error("unknown analysis option %d", analyze)
+
+        return False
+
     def load_capa_function_results(self):
         """ """
         if self.rulegen_ruleset_cache is None:
             # only reload rules if cache is empty
             self.rulegen_ruleset_cache = self.load_capa_rules()
         else:
-            logger.info('Using cached capa rules, click "Reset" to load rules from disk.')
+            logger.info("Using cached capa rules, click Clear to load rules from disk.")
 
         if self.rulegen_ruleset_cache is None:
             return False
@@ -1055,6 +1251,22 @@ class CapaExplorerForm(idaapi.PluginForm):
             self.set_rulegen_preview_border_warn()
             self.set_rulegen_status("Rule compiled, but not matched")
 
+    def slot_tabview_change(self, index):
+        if index not in (0, 1):
+            return
+
+        status_prev: str = self.view_status_label.text()
+        if index == 0:
+            self.set_view_status_label(self.view_status_label_analysis_cache)
+            self.view_status_label_rulegen_cache = status_prev
+
+            self.view_reset_button.setText("Reset Selections")
+        elif index == 1:
+            self.set_view_status_label(self.view_status_label_rulegen_cache)
+            self.view_status_label_analysis_cache = status_prev
+
+            self.view_reset_button.setText("Clear")
+
     def slot_rulegen_editor_update(self):
         """ """
         rule_text = self.view_rulegen_preview.toPlainText()
@@ -1105,6 +1317,7 @@ class CapaExplorerForm(idaapi.PluginForm):
                 settings.user[CAPA_SETTINGS_RULE_PATH],
                 settings.user[CAPA_SETTINGS_RULEGEN_AUTHOR],
                 settings.user[CAPA_SETTINGS_RULEGEN_SCOPE],
+                settings.user[CAPA_SETTINGS_ANALYZE],
             ) = dialog.get_values()
 
     def save_program_analysis(self):
@@ -1163,7 +1376,7 @@ class CapaExplorerForm(idaapi.PluginForm):
         @param state: checked state
         """
         if self.resdoc_cache is not None:
-            self.analyze_program(use_cache=True)
+            self.analyze_program(new_analysis=False)
 
     def limit_results_to_function(self, f):
         """add filter to limit results to current function