diff --git a/docs/docs/tutorials/functional_api/functional_api_test.ipynb b/docs/docs/tutorials/functional_api/react_functional_api.ipynb
similarity index 84%
rename from docs/docs/tutorials/functional_api/functional_api_test.ipynb
rename to docs/docs/tutorials/functional_api/react_functional_api.ipynb
index d2f7fba73..468bb18e7 100644
--- a/docs/docs/tutorials/functional_api/functional_api_test.ipynb
+++ b/docs/docs/tutorials/functional_api/react_functional_api.ipynb
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -108,10 +108,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add those numbers using the `add` function.\", 'type': 'text'}, {'id': 'toolu_01Lr23DbYsJvGSuzwQdXqDvH', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_01Js4XXxB1oMDqZKz6VkxpnQ', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_01Lr23DbYsJvGSuzwQdXqDvH)\n",
-      " Call ID: toolu_01Lr23DbYsJvGSuzwQdXqDvH\n",
+      "  add (toolu_01Js4XXxB1oMDqZKz6VkxpnQ)\n",
+      " Call ID: toolu_01Js4XXxB1oMDqZKz6VkxpnQ\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -181,7 +181,8 @@
    "source": [
     "### Agent with short-term memory (within a thread)\n",
     "\n",
-    "* LangGraph persistence layer \n",
+    "* LangGraph persistence layer\n",
+    "* Allows you to resume any conversation with the agent\n",
     "\n",
     "`@entrypoint` \n",
     "* Decorator indicates the start of a workflow / agent \n",
@@ -206,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -233,9 +234,9 @@
     "    tool = tools_by_name[tool_call[\"name\"]]\n",
     "    return tool.invoke(tool_call)\n",
     "\n",
-    "checkpointer = MemorySaver()\n",
+    "checkpointer = MemorySaver() # New\n",
     "@entrypoint(checkpointer=checkpointer) # New \n",
-    "def agent(messages: list[BaseMessage], previous: list[BaseMessage]): # New \n",
+    "def agent(messages: list[BaseMessage], previous: list[BaseMessage]): # previous (state associated with the previous ckpt)\n",
     "    \"\"\" Tool calling agent \"\"\"\n",
     "\n",
     "    # Add previous messages from short-term memory to the current messages\n",
@@ -264,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -276,10 +277,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_013z1syyD8SvfDKdysUSwyeq', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_016nz34fiRCrz2pcipHGRbEc', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_013z1syyD8SvfDKdysUSwyeq)\n",
-      " Call ID: toolu_013z1syyD8SvfDKdysUSwyeq\n",
+      "  add (toolu_016nz34fiRCrz2pcipHGRbEc)\n",
+      " Call ID: toolu_016nz34fiRCrz2pcipHGRbEc\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -308,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -320,10 +321,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_013z1syyD8SvfDKdysUSwyeq', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_016nz34fiRCrz2pcipHGRbEc', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_013z1syyD8SvfDKdysUSwyeq)\n",
-      " Call ID: toolu_013z1syyD8SvfDKdysUSwyeq\n",
+      "  add (toolu_016nz34fiRCrz2pcipHGRbEc)\n",
+      " Call ID: toolu_016nz34fiRCrz2pcipHGRbEc\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -346,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -358,10 +359,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_013z1syyD8SvfDKdysUSwyeq', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_016nz34fiRCrz2pcipHGRbEc', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_013z1syyD8SvfDKdysUSwyeq)\n",
-      " Call ID: toolu_013z1syyD8SvfDKdysUSwyeq\n",
+      "  add (toolu_016nz34fiRCrz2pcipHGRbEc)\n",
+      " Call ID: toolu_016nz34fiRCrz2pcipHGRbEc\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -377,10 +378,10 @@
       "Take the result and multiply it by 2.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll multiply the previous result (7) by 2 using the `multiply` function.\", 'type': 'text'}, {'id': 'toolu_01RhScbTXybkGxYG6RA1tQpM', 'input': {'a': 7, 'b': 2}, 'name': 'multiply', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll take the previous result (7) and multiply it by 2 using the `multiply` function.\", 'type': 'text'}, {'id': 'toolu_01Mqx3AB6Xiiz3gZcQHrxnPB', 'input': {'a': 7, 'b': 2}, 'name': 'multiply', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  multiply (toolu_01RhScbTXybkGxYG6RA1tQpM)\n",
-      " Call ID: toolu_01RhScbTXybkGxYG6RA1tQpM\n",
+      "  multiply (toolu_01Mqx3AB6Xiiz3gZcQHrxnPB)\n",
+      " Call ID: toolu_01Mqx3AB6Xiiz3gZcQHrxnPB\n",
       "  Args:\n",
       "    a: 7\n",
       "    b: 2\n",
@@ -390,7 +391,7 @@
       "14\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "The result of multiplying 7 by 2 is 14.\n"
+      "7 multiplied by 2 equals 14.\n"
      ]
     }
    ],
@@ -407,6 +408,7 @@
    "source": [
     "### Agent with HITL\n",
     "\n",
+    "* Very useful for [approval](https://www.anthropic.com/research/building-effective-agents) in agents.\n",
     "* Add interrupt to the workflow to allow for HITL.\n",
     "* Re-executes from the start of the entrypoint.\n",
     "* Output of each `@task` is cached / saved as a checkpoint."
@@ -414,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -423,7 +425,7 @@
     "@task\n",
     "def call_llm(messages: list[BaseMessage]):\n",
     "    \"\"\"LLM decides whether to call a tool or not\"\"\"\n",
-    "    print(\"Calling LLM or using cached LLM output!\")\n",
+    "    print(\"Calling LLM!\")\n",
     "    return llm_with_tools.invoke(\n",
     "        [\n",
     "            SystemMessage(\n",
@@ -436,7 +438,7 @@
     "@task\n",
     "def call_tool(tool_call: ToolCall):\n",
     "    \"\"\"Performs the tool call\"\"\"\n",
-    "    print(\"Calling tool or using cached tool output!\")\n",
+    "    print(\"Calling tool!\")\n",
     "    # Interrupt the workflow to get a review from a human.\n",
     "    is_approved = interrupt({ # New \n",
     "            # Any json-serializable payload provided to interrupt as argument.\n",
@@ -457,7 +459,8 @@
     "@entrypoint(checkpointer=MemorySaver())  \n",
     "def agent(messages: list[BaseMessage], previous: list[BaseMessage]): \n",
     "    \"\"\" Tool calling agent \"\"\"\n",
-    "\n",
+    "    print(\"Executing agent!\")\n",
+    "    \n",
     "    # Add previous messages from short-term memory to the current messages\n",
     "    if previous is not None:\n",
     "        messages = add_messages(previous, messages)\n",
@@ -482,16 +485,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Calling LLM or using cached LLM output!\n",
-      "Calling tool or using cached tool output!\n",
-      "{'tool_call': {'name': 'add', 'args': {'a': 3, 'b': 4}, 'id': 'toolu_017uJdvp4SfEyPLVWamxBjGT', 'type': 'tool_call'}, 'action': 'Please approve/reject the tool call'}\n"
+      "Executing agent!\n",
+      "Calling LLM!\n",
+      "Calling tool!\n",
+      "{'tool_call': {'name': 'add', 'args': {'a': 3, 'b': 4}, 'id': 'toolu_01GGBdQZJ11bZGyHuvRkuRrh', 'type': 'tool_call'}, 'action': 'Please approve/reject the tool call'}\n"
      ]
     }
    ],
@@ -510,15 +514,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Calling tool or using cached tool output!\n",
-      "Calling LLM or using cached LLM output!\n",
+      "Executing agent!\n",
+      "Calling tool!\n",
+      "Calling LLM!\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
       "The sum of 3 and 4 is 7.\n"
@@ -532,18 +537,35 @@
     "        item['agent'][-1].pretty_print()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Initial Execution Flow:\n",
+    "* `call_llm` runs first and is cached\n",
+    "* `call_tool` starts but hits the interrupt\n",
+    "* Execution pauses waiting for human input\n",
+    "\n",
+    "After Resume:\n",
+    "* `call_tool` continues from where it left off (since it didn't complete)\n",
+    "* The tool executes if approved\n",
+    "* `call_llm` runs again with the tool results\n",
+    "* Final response is generated"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Time travel\n",
     "\n",
-    "* It can be useful to add time travel to the workflow.\n"
+    "* It can be useful to add time travel to the workflow.\n",
+    "* This allows you to rewind to specific checkpoint, modify the workflow, and re-run it. \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -593,7 +615,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -605,10 +627,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_015EBCekAyhHGVExDSCbSppi', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_0144yacRC2U5UkwEfEzBdzm2', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_015EBCekAyhHGVExDSCbSppi)\n",
-      " Call ID: toolu_015EBCekAyhHGVExDSCbSppi\n",
+      "  add (toolu_0144yacRC2U5UkwEfEzBdzm2)\n",
+      " Call ID: toolu_0144yacRC2U5UkwEfEzBdzm2\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -637,7 +659,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -646,7 +668,7 @@
      "text": [
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "The result of multiplying 7 by 2 is 14.\n"
+      "7 multiplied by 2 equals 14.\n"
      ]
     }
    ],
@@ -659,18 +681,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'configurable': {'thread_id': 'ac13180b-31f0-4ff5-8d71-0354addc0a59',\n",
+       "{'configurable': {'thread_id': 'c0336c2c-1a97-4b6d-826c-21c33eb47ccb',\n",
        "  'checkpoint_ns': '',\n",
-       "  'checkpoint_id': '1efddb89-50bb-6c16-8001-4b2a0f971b4e'}}"
+       "  'checkpoint_id': '1efddbc1-103d-66d4-8001-48133c20ef14'}}"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -683,7 +705,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -695,10 +717,10 @@
       "Add 3 and 4.\n",
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_015EBCekAyhHGVExDSCbSppi', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
+      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_0144yacRC2U5UkwEfEzBdzm2', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
       "Tool Calls:\n",
-      "  add (toolu_015EBCekAyhHGVExDSCbSppi)\n",
-      " Call ID: toolu_015EBCekAyhHGVExDSCbSppi\n",
+      "  add (toolu_0144yacRC2U5UkwEfEzBdzm2)\n",
+      " Call ID: toolu_0144yacRC2U5UkwEfEzBdzm2\n",
       "  Args:\n",
       "    a: 3\n",
       "    b: 4\n",
@@ -721,7 +743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -730,63 +752,17 @@
      "text": [
       "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
       "\n",
-      "The result of multiplying 7 by 2 is 14.\n",
-      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-      "\n",
-      "The result of multiplying 7 by 2 is 14.\n",
-      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-      "\n",
-      "The result of multiplying 7 by 2 is 14.\n",
-      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-      "\n",
-      "The result of multiplying 7 by 2 is 14.\n"
+      "7 multiplied by 3 equals 21.\n"
      ]
     }
    ],
    "source": [
     "# Re-run the workflow from the fork\n",
-    "for chunk in agent.stream([HumanMessage(content=\"Take the result and multiply it by 3.\")], to_fork_from, stream_mode=\"updates\"):\n",
+    "for item in agent.stream([HumanMessage(content=\"Take the result and multiply it by 3.\")], to_fork_from, stream_mode=\"updates\"):\n",
     "    if 'agent' in item:\n",
     "        item['agent'][-1].pretty_print()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "================================\u001b[1m Human Message \u001b[0m=================================\n",
-      "\n",
-      "Add 3 and 4.\n",
-      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-      "\n",
-      "[{'text': \"I'll help you add 3 and 4 using the `add` function.\", 'type': 'text'}, {'id': 'toolu_015EBCekAyhHGVExDSCbSppi', 'input': {'a': 3, 'b': 4}, 'name': 'add', 'type': 'tool_use'}]\n",
-      "Tool Calls:\n",
-      "  add (toolu_015EBCekAyhHGVExDSCbSppi)\n",
-      " Call ID: toolu_015EBCekAyhHGVExDSCbSppi\n",
-      "  Args:\n",
-      "    a: 3\n",
-      "    b: 4\n",
-      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
-      "Name: add\n",
-      "\n",
-      "7\n",
-      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
-      "\n",
-      "The sum of 3 and 4 is 7.\n"
-     ]
-    }
-   ],
-   "source": [
-    "agent_state = agent.get_state(to_fork_from)\n",
-    "for m in agent_state.values:\n",
-    "    m.pretty_print()"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -799,7 +775,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -833,7 +809,7 @@
     "\n",
     "    # BaseStore is a LangGraph persistence layer\n",
     "    store.put(\n",
-    "        (\"memories\"),\n",
+    "        (\"memories\",\"lance\"),\n",
     "        key=str(mem_id),\n",
     "        value={\"content\": content},\n",
     "    )\n",
@@ -847,7 +823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -905,7 +881,7 @@
     "    # New \n",
     "    # Retrieve the most recent memories for context\n",
     "    memories = store.search( \n",
-    "        (\"memories\"),\n",
+    "        (\"memories\",\"lance\"),\n",
     "        limit=10,\n",
     "    )\n",
     "\n",
@@ -939,14 +915,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'tool_call': {'name': 'upsert_memory', 'args': {'content': \"User's name is Lance.\"}, 'id': 'toolu_01Ppw9sRsBnkpmfUPmeHZVyR', 'type': 'tool_call'}, 'action': 'Please approve/reject the tool call'}\n"
+      "{'tool_call': {'name': 'upsert_memory', 'args': {'content': \"User's name is Lance.\"}, 'id': 'toolu_01Y1J6BnLWejpoQfF72GWP9L', 'type': 'tool_call'}, 'action': 'Please approve/reject the tool call'}\n"
      ]
     }
    ],
@@ -965,9 +941,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tool call approved, Memory Added!\n",
+      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
+      "\n",
+      "Nice to meet you Lance! Is there anything else you'd like me to help you with?\n"
+     ]
+    }
+   ],
    "source": [
     "for item in agent.stream(Command(resume=True), config, stream_mode=\"updates\"):\n",
     "    if 'agent' in item:\n",
@@ -976,10 +963,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 55,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Item(namespace=['memories', 'lance'], key='20544090-a509-46ac-85f2-04b3f54db0d2', value={'content': \"User's name is Lance.\"}, created_at='2025-01-28T21:41:25.959474+00:00', updated_at='2025-01-28T21:41:25.959475+00:00', score=None)]"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "in_memory_store.search((\"memories\",\"lance\"))"
+   ]
   },
   {
    "cell_type": "code",
@@ -987,6 +987,24 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Overview\n",
+    "\n",
+    "- Vanilla agent\n",
+    "- Added short-term memory (w/ tracing)\n",
+    "- Added short-term memory + HITL (w/ tracing)\n",
+    "- Added short-term memory + HITL + time travel (w/ tracing)\n",
+    "- Added short-term memory + HITL + long-term memory (w/ tracing)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {