diff --git a/.gitignore b/.gitignore
index 6478ba2..cc414ab 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,6 +20,7 @@
 # These are directories used by IDEs for storing settings
 .idea/
 .vscode/
+.cache/
 
 # These are common Python virtual enviornment directory names
 venv/
diff --git a/include/scf/driver/convergence.hpp b/include/scf/driver/convergence.hpp
new file mode 100644
index 0000000..f130e2e
--- /dev/null
+++ b/include/scf/driver/convergence.hpp
@@ -0,0 +1,54 @@
+/*
+ * Copyright 2025 NWChemEx-Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * 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.
+ */
+
+#pragma once
+#include <pluginplay/pluginplay.hpp>
+#include <simde/types.hpp>
+
+
+namespace scf {
+
+template<typename KernelType>
+DECLARE_TEMPLATED_PROPERTY_TYPE(ConvergenceProp, KernelType);
+
+template<typename KernelType>
+TEMPLATED_PROPERTY_TYPE_INPUTS(ConvergenceProp, KernelType) {
+    auto rv     = pluginplay::declare_input()
+                    .add_field<simde::type::tensor>("New Energy")
+                    .template add_field<simde::type::tensor>("Old Energy")
+                    .template add_field<chemist::DecomposableDensity<chemist::Electron>>("New Rho")
+                    .template add_field<chemist::DecomposableDensity<chemist::Electron>>("Old Rho")
+                    .template add_field<simde::type::tensor>("P_new")
+                    .template add_field<simde::type::tensor>("S")
+                    .template add_field<simde::type::fock>("Fock Operator")
+                    .template add_field<chemist::wavefunction::AOs>("Wave Function")
+                    .template add_field<KernelType>("K")
+                    .template add_field<double>("Energy Tolerance")
+                    .template add_field<double>("Density Tolerance")
+                    .template add_field<double>("Gradient Tolerance");
+    return rv;
+}
+
+template<typename KernelType>
+TEMPLATED_PROPERTY_TYPE_RESULTS(ConvergenceProp, KernelType) {
+    auto rv     = pluginplay::declare_result().add_field<bool>("Convergence Status");
+    rv.at("Convergence Status")
+      .set_description("The molecule corresponding to the input string");
+    return rv;
+}
+
+} // namespace simde
+
diff --git a/src/scf/driver/convergence.cpp b/src/scf/driver/convergence.cpp
new file mode 100644
index 0000000..1276805
--- /dev/null
+++ b/src/scf/driver/convergence.cpp
@@ -0,0 +1,87 @@
+/*
+ * Copyright 2024 NWChemEx-Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * 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.
+ */
+
+#include "driver.hpp"
+#include <driver/convergence.hpp>
+
+
+namespace scf::driver {
+
+template<typename KernelType>
+TEMPLATED_MODULE_CTOR(ConvergenceMod, KernelType) {
+    satisfies_property_type<scf::ConvergenceProp<KernelType>>();
+
+    add_input<double>("energy tolerance").set_default(1.0E-6);
+    add_input<double>("density tolerance").set_default(1.0E-6);
+    add_input<double>("gradient tolerance").set_default(1.0E-6);
+    add_submodule<simde::aos_f_e_aos>("Fock matrix builder");
+}
+
+template<typename KernelType>
+TEMPLATED_MODULE_RUN(ConvergenceMod, KernelType) {
+    const auto&& [e_new, e_old, rho_new, rho_old, P_new, S, f_new, aos, k, e_tol, dp_tol, g_tol] = ConvergenceProp<KernelType>::unwrap_inputs(inputs);
+
+    bool converged = false;
+
+    auto& F_mod = submods.at("Fock matrix builder");
+
+    simde::type::tensor de;
+    de("") = e_new("") - e_old("");
+
+    // Change in the density
+    simde::type::tensor dp;
+    dp("m,n")    = rho_new.value()("m,n") - rho_old.value()("m,n");
+    auto dp_norm = tensorwrapper::operations::infinity_norm(dp);
+
+    // Orbital gradient: FPS-SPF
+    // TODO: module satisfying BraKet(aos, Commutator(F,P), aos)
+    chemist::braket::BraKet F_mn(aos, f_new, aos);
+    const auto& F_matrix = F_mod.run_as<simde::aos_f_e_aos>(F_mn);
+    simde::type::tensor FPS;
+    FPS("m,l") = F_matrix("m,n") * P_new("n,l");
+    FPS("m,l") = FPS("m,n") * S("n,l");
+
+    simde::type::tensor SPF;
+    SPF("m,l") = P_new("m,n") * F_matrix("n,l");
+    SPF("m,l") = S("m,n") * SPF("n,l");
+
+    simde::type::tensor grad;
+    simde::type::tensor grad_norm;
+    grad("m,n")   = FPS("m,n") - SPF("m,n");
+    grad_norm("") = grad("m,n") * grad("n,m");
+
+    using tensorwrapper::utilities::floating_point_dispatch;
+    auto e_conv = floating_point_dispatch(k, de.buffer(), e_tol);
+    auto g_conv = floating_point_dispatch(k, grad_norm.buffer(), g_tol);
+    auto dp_conv = floating_point_dispatch(k, dp_norm.buffer(), dp_tol);
+
+    // logger.log("  dE = " + de.to_string());
+    // logger.log("  dP = " + dp_norm.to_string());
+    // logger.log("  dG = " + grad_norm.to_string());
+
+    if(e_conv && g_conv && dp_conv) converged = true;
+
+    auto rv = results();
+    return scf::ConvergenceProp<KernelType>::wrap_inputs(rv, converged);
+}
+}
+    //     // Step 6: Not converged so reset
+    //     e_old   = e_new;
+    //     psi_old = psi_new;
+    //     rho_old = rho_new;
+    //     if(converged) break;
+    //     ++iter;
+    // }
diff --git a/src/scf/driver/driver.hpp b/src/scf/driver/driver.hpp
index e5039e6..13b72d3 100644
--- a/src/scf/driver/driver.hpp
+++ b/src/scf/driver/driver.hpp
@@ -16,12 +16,16 @@
 
 #pragma once
 #include <simde/simde.hpp>
+#include <driver/convergence.hpp>
 
 namespace scf::driver {
 
 DECLARE_MODULE(SCFDriver);
 DECLARE_MODULE(SCFLoop);
 
+template<typename KernelType>
+DECLARE_MODULE(ConvergenceMod);
+
 inline void load_modules(pluginplay::ModuleManager& mm) {
     mm.add_module<SCFDriver>("SCF Driver");
     mm.add_module<SCFLoop>("Loop");
@@ -41,4 +45,4 @@ inline void set_defaults(pluginplay::ModuleManager& mm) {
     mm.change_submod("SCF Driver", "Optimizer", "Loop");
 }
 
-} // namespace scf::driver
\ No newline at end of file
+} // namespace scf::driver
diff --git a/src/scf/driver/scf_loop.cpp b/src/scf/driver/scf_loop.cpp
index 39d6475..7eca8cf 100644
--- a/src/scf/driver/scf_loop.cpp
+++ b/src/scf/driver/scf_loop.cpp
@@ -92,6 +92,7 @@ MODULE_CTOR(SCFLoop) {
     add_submodule<fock_matrix_pt>("Fock matrix builder");
     add_submodule<v_nn_pt>("Charge-charge");
     add_submodule<s_pt>("Overlap matrix builder");
+    add_submodule<ConvergenceProp<Kernel>>("Converged Mod");
 }
 
 MODULE_RUN(SCFLoop) {
@@ -110,6 +111,7 @@ MODULE_RUN(SCFLoop) {
     auto& fock_mod    = submods.at("One-electron Fock operator");
     auto& Fock_mod    = submods.at("Fock operator");
     auto& V_nn_mod    = submods.at("Charge-charge");
+    auto& conv_mod    = submods.at("Converged Mod");
 
     // TODO: should be split off into orbital gradient module
     auto& F_mod = submods.at("Fock matrix builder");
@@ -191,53 +193,54 @@ MODULE_RUN(SCFLoop) {
         logger.log(e_msg);
 
         bool converged = false;
-        // Step 5: Converged?
+        // // Step 5: Converged?
         if(iter > 0) {
             // Change in the energy
-            simde::type::tensor de;
-            de("") = e_new("") - e_old("");
-
-            // Change in the density
-            simde::type::tensor dp;
-            dp("m,n")    = rho_new.value()("m,n") - rho_old.value()("m,n");
-            auto dp_norm = tensorwrapper::operations::infinity_norm(dp);
-
-            // Orbital gradient: FPS-SPF
-            // TODO: module satisfying BraKet(aos, Commutator(F,P), aos)
-            chemist::braket::BraKet F_mn(aos, f_new, aos);
-            const auto& F_matrix = F_mod.run_as<fock_matrix_pt>(F_mn);
-            simde::type::tensor FPS;
-            FPS("m,l") = F_matrix("m,n") * P_new("n,l");
-            FPS("m,l") = FPS("m,n") * S("n,l");
-
-            simde::type::tensor SPF;
-            SPF("m,l") = P_new("m,n") * F_matrix("n,l");
-            SPF("m,l") = S("m,n") * SPF("n,l");
-
-            simde::type::tensor grad;
-            simde::type::tensor grad_norm;
-            grad("m,n")   = FPS("m,n") - SPF("m,n");
-            grad_norm("") = grad("m,n") * grad("n,m");
+            // simde::type::tensor de;
+            // de("") = e_new("") - e_old("");
+
+            // // Change in the density
+            // simde::type::tensor dp;
+            // dp("m,n")    = rho_new.value()("m,n") - rho_old.value()("m,n");
+            // auto dp_norm = tensorwrapper::operations::infinity_norm(dp);
+
+            // // Orbital gradient: FPS-SPF
+            // // TODO: module satisfying BraKet(aos, Commutator(F,P), aos)
+            // chemist::braket::BraKet F_mn(aos, f_new, aos);
+            // const auto& F_matrix = F_mod.run_as<fock_matrix_pt>(F_mn);
+            // simde::type::tensor FPS;
+            // FPS("m,l") = F_matrix("m,n") * P_new("n,l");
+            // FPS("m,l") = FPS("m,n") * S("n,l");
+
+            // simde::type::tensor SPF;
+            // SPF("m,l") = P_new("m,n") * F_matrix("n,l");
+            // SPF("m,l") = S("m,n") * SPF("n,l");
+
+            // simde::type::tensor grad;
+            // simde::type::tensor grad_norm;
+            // grad("m,n")   = FPS("m,n") - SPF("m,n");
+            // grad_norm("") = grad("m,n") * grad("n,m");
 
             Kernel k(get_runtime());
 
-            using tensorwrapper::utilities::floating_point_dispatch;
-            auto e_conv = floating_point_dispatch(k, de.buffer(), e_tol);
-            auto g_conv = floating_point_dispatch(k, grad_norm.buffer(), g_tol);
-            auto dp_conv = floating_point_dispatch(k, dp_norm.buffer(), dp_tol);
+            // using tensorwrapper::utilities::floating_point_dispatch;
+            // auto e_conv = floating_point_dispatch(k, de.buffer(), e_tol);
+            // auto g_conv = floating_point_dispatch(k, grad_norm.buffer(), g_tol);
+            // auto dp_conv = floating_point_dispatch(k, dp_norm.buffer(), dp_tol);
 
-            logger.log("  dE = " + de.to_string());
-            logger.log("  dP = " + dp_norm.to_string());
-            logger.log("  dG = " + grad_norm.to_string());
+            // logger.log("  dE = " + de.to_string());
+            // logger.log("  dP = " + dp_norm.to_string());
+            // logger.log("  dG = " + grad_norm.to_string());
 
-            if(e_conv && g_conv && dp_conv) converged = true;
+            // // if(e_conv && g_conv && dp_conv) converged = true;
+            auto converged = conv_mod.run_as<ConvergenceProp<Kernel>>(e_new, e_old, rho_new, rho_old, P_new, S, f_new, aos, k, e_tol, dp_tol, g_tol);
         }
+        if (converged) break;
 
         // Step 6: Not converged so reset
         e_old   = e_new;
         psi_old = psi_new;
         rho_old = rho_new;
-        if(converged) break;
         ++iter;
     }
     if(iter == max_iter) throw std::runtime_error("SCF failed to converge");
@@ -261,4 +264,4 @@ MODULE_RUN(SCFLoop) {
     return pt<wf_type>::wrap_results(rv, e_total, psi_old);
 }
 
-} // namespace scf::driver
\ No newline at end of file
+} // namespace scf::driver