diff --git a/docs/examples/memory.rst b/docs/examples/memory.rst
new file mode 100644
index 00000000000..c5c064f88db
--- /dev/null
+++ b/docs/examples/memory.rst
@@ -0,0 +1,11 @@
+Memory
+======
+
+The examples here are all related to working with the concept of Memory in LangChain.
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+   :caption: Memory
+
+   memory/*
\ No newline at end of file
diff --git a/docs/examples/memory/agent_with_memory.ipynb b/docs/examples/memory/agent_with_memory.ipynb
index 48c8533b26a..fa93a7e0dc1 100644
--- a/docs/examples/memory/agent_with_memory.ipynb
+++ b/docs/examples/memory/agent_with_memory.ipynb
@@ -76,7 +76,7 @@
     "    suffix=suffix, \n",
     "    input_variables=[\"input\", \"chat_history\"]\n",
     ")\n",
-    "memory = ConversationBufferMemory(dynamic_key=\"chat_history\")"
+    "memory = ConversationBufferMemory(memory_key=\"chat_history\")"
    ]
   },
   {
diff --git a/docs/explanation/core_concepts.md b/docs/explanation/core_concepts.md
index be4b8e2eeb4..eafb6db07bb 100644
--- a/docs/explanation/core_concepts.md
+++ b/docs/explanation/core_concepts.md
@@ -29,3 +29,9 @@ They vary greatly in complexity and are combination of generic, highly configura
 ## Agents
 As opposed to a chain, whether the steps to be taken are known ahead of time, agents
 use an LLM to determine which tools to call and in what order.
+
+## Memory
+By default, Chains and Agents are stateless, meaning that they treat each incoming query independently.
+In some applications (chatbots being a GREAT example) it is highly important to remember previous interactions,
+both at a short term but also at a long term level. The concept of "Memory" exists to do exactly that.
+
diff --git a/docs/getting_started/memory.ipynb b/docs/getting_started/memory.ipynb
index 402ac39c332..6b297f3c2ba 100644
--- a/docs/getting_started/memory.ipynb
+++ b/docs/getting_started/memory.ipynb
@@ -290,10 +290,20 @@
     "conversation_with_summary.predict(input=\"Very cool -- what is the scope of the project?\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5c8735cc",
+   "metadata": {},
+   "source": [
+    "### More Resources on Memory\n",
+    "\n",
+    "This just scratches the surface of what you can do with memory. For more examples on things like how to implement custom memory classes, how to add memory to a custom LLM chain and how to use memory with and agent, please see the [How-To: Memory](../../examples/memory) section."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0eb11bd0",
+   "id": "436dda66",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/docs/index.rst b/docs/index.rst
index b0418caa2c4..5dc98488dea 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -120,6 +120,7 @@ Start here if you haven't used LangChain before.
    examples/integrations.rst
    examples/chains.rst
    examples/agents.rst
+   examples/memory.rst
    examples/model_laboratory.ipynb
 
 More elaborate examples and walk-throughs of particular