chore: Updatepyproject.toml and README (#866)

README.md

@@ -68,7 +68,7 @@ If you're running MemGPT for the first time, you'll see two quickstart options:
 
 Neither of these options require you to have an LLM running on your own machine. If you'd like to run MemGPT with your custom LLM setup (or on OpenAI Azure), select **Other** to proceed to the advanced setup.
 
-### Advanced setup 
+### Advanced setup
 You can reconfigure MemGPT's default settings by running:
 ```sh
 memgpt configure
@@ -169,11 +169,11 @@ client = MemGPT(
     # user message.  This may have performance implications, so you
     # can otherwise choose when to save explicitly using client.save().
     auto_save=True,
-    
+
     # Quickstart will automatically configure MemGPT (without having to run `memgpt configure`
     # If you choose 'openai' then you must set the api key (env or in config)
     quickstart=QuickstartChoice.memgpt_hosted,
-    
+
     # Allows you to override default config generated by quickstart or `memgpt configure`
     config={}
 )
@@ -218,13 +218,3 @@ For issues and feature requests, please [open a GitHub issue](https://github.com
 
 ## Datasets
 Datasets used in our [paper](https://arxiv.org/abs/2310.08560) can be downloaded at [Hugging Face](https://huggingface.co/MemGPT).
-
-## 🚀 Project Roadmap
-- [x] Release MemGPT Discord bot demo (perpetual chatbot)
-- [x] Add additional workflows (load SQL/text into MemGPT external context)
-- [x] Integration tests
-- [x] Integrate with AutoGen ([discussion](https://github.com/cpacker/MemGPT/discussions/65))
-- [x] Add official gpt-3.5-turbo support ([discussion](https://github.com/cpacker/MemGPT/discussions/66))
-- [x] CLI UI improvements ([issue](https://github.com/cpacker/MemGPT/issues/11))
-- [x] Add support for other LLM backends ([issue](https://github.com/cpacker/MemGPT/issues/18), [discussion](https://github.com/cpacker/MemGPT/discussions/67))
-- [ ] Release MemGPT family of open models (eg finetuned Mistral) ([discussion](https://github.com/cpacker/MemGPT/discussions/67))

pyproject.toml

@@ -6,11 +6,7 @@ packages = [
 ]
 description = "Teaching LLMs memory management for unbounded context"
 authors = [
-    "Charles Packer <contact@charlespacker.com>",
-    "Vivian Fang <hi@vivi.sh>",
-    "Sarah Wooders <sarahwooders@gmail.com>",
-    "Shishir Patil <shishirpatil@berkeley.edu>",
-    "Kevin Lin <kevinlin@eecs.berkeley.edu>"
+    "MemGPT Team <hi@memgpt.ai>",
 ]
 license = "Apache License"
 readme = "README.md"