docs: Improve Local LLM information and add WSL Troubleshooting

docs/local_llm.md

@@ -6,15 +6,15 @@ category: 6580da9a40bb410016b8b0c3
 
 > 📘 Need help?
 >
-> If you need help visit our [Discord server](https://discord.gg/9GEQrxmVyE) and post in the #support channel.
+> Visit our [Discord server](https://discord.gg/9GEQrxmVyE) and post in the #support channel. Make sure to check the [local LLM troubleshooting page](local_llm_faq) to see common issues before raising a new issue or posting on Discord.
+
+> 📘 Using Windows?
 >
-> You can also check the [GitHub discussion page](https://github.com/cpacker/MemGPT/discussions/67), but the Discord server is the official support channel and is monitored more actively.
+> If you're using Windows and are trying to get MemGPT with local LLMs setup, we recommend using Anaconda Shell, or WSL (for more advanced users). See more Windows installation tips [here](local_llm_faq).
 
 > ⚠️ MemGPT + open LLM failure cases
 >
-> When using open LLMs with MemGPT, **the main failure case will be your LLM outputting a string that cannot be understood by MemGPT**. MemGPT uses function calling to manage memory (eg `edit_core_memory(...)` and interact with the user (`send_message(...)`), so your LLM needs generate outputs that can be parsed into MemGPT function calls.
->
-> Make sure to check the [local LLM troubleshooting page](local_llm_faq) to see common issues before raising a new issue or posting on Discord.
+> When using open LLMs with MemGPT, **the main failure case will be your LLM outputting a string that cannot be understood by MemGPT**. MemGPT uses function calling to manage memory (eg `edit_core_memory(...)` and interact with the user (`send_message(...)`), so your LLM needs generate outputs that can be parsed into MemGPT function calls. See [LINK TO FAQ] for more information.
 
 ### Installing dependencies
 To install dependencies required for running local models, run:

docs/local_llm_faq.md

@@ -71,3 +71,19 @@ This string is not correct JSON - it is missing closing brackets and has a stray
 ### "Got back an empty response string from ..."
 
 MemGPT asked the server to run the LLM, but got back an empty response. Double-check that your server is running properly and has context length set correctly (it should be set to 8k if using Mistral 7B models).
+
+### "Unable to connect to endpoint" using Windows + WSL
+
+>⚠️ We recommend using Anaconda Shell, as WSL has been known to have issues passing network traffic between WSL and the windows host.
+
+If you still would like to try WSL, you must be on WSL version 2.0.5 or above with the installation from the Microsoft Store app.
+You will need to verify your WSL network mode is set to "mirrored"
+
+You can do this by checking the `.wslconfig` file in `%USERPROFILE%'
+
+Add the following if the file does not contain:
+```
+[wsl2]
+networkingMode=mirrored # add this line if the wsl2 section already exists
+```
+

docs/quickstart.md

@@ -5,17 +5,15 @@ category: 6580d34ee5e4d00068bf2a1d
 ---
 
 ### Installation
+> 📘 Using Local LLMs?
+>
+> If you're using local LLMs refer to the MemGPT + open models page [here](local_llm) for additional installation requirements.
 
 To install MemGPT, make sure you have Python installed on your computer, then run:
 ```sh
 pip install pymemgpt
 ```
 
-If you are running LLMs locally, you will want to install MemGPT with the local dependencies by running:
-```sh
-pip install pymemgpt[local]
-```
-
 If you already have MemGPT installed, you can update to the latest version with:
 ```sh
 pip install pymemgpt -U