* Create docs (#323) * Create .readthedocs.yaml * Update mkdocs.yml * update * revise * syntax * syntax * syntax * syntax * revise * revise * spacing * Docs (#327) * add stuff * patch homepage * more docs * updated * updated * refresh * refresh * refresh * update * refresh * refresh * refresh * refresh * missing file * refresh * refresh * refresh * refresh * fix black * refresh * refresh * refresh * refresh * add readme for just the docs * Update README.md * add more data loading docs * cleanup data sources * refresh * revised * add search * make prettier * revised * updated * refresh * favi * updated --------- Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
59 lines
1.8 KiB
Markdown
59 lines
1.8 KiB
Markdown
## Installation
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To install MemGPT, make sure you have Python installed on your computer, then run:
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```sh
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pip install pymemgpt
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```
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If you already have MemGPT installed, you can update to the latest version with:
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```sh
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pip install pymemgpt -U --pre
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```
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### Running MemGPT using the OpenAI API
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Add your OpenAI API key to your environment:
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```sh
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export OPENAI_API_KEY=YOUR_API_KEY # on Linux/Mac
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set OPENAI_API_KEY=YOUR_API_KEY # on Windows
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$Env:OPENAI_API_KEY = "YOUR_API_KEY" # on Windows (PowerShell)
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```
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Configure default settings for MemGPT by running:
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```sh
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memgpt configure
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```
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Now, you can run MemGPT with:
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```sh
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memgpt run
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```
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In this example we use the OpenAI API, but you can run MemGPT with other backends! See:
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* [Running MemGPT on OpenAI Azure and custom OpenAI endpoints](endpoints.md)
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* [Running MemGPT with your own LLMs (Llama 2, Mistral 7B, etc.)](local_llm.md)
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### In-chat commands
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You can run the following commands during an active chat session in the MemGPT CLI prompt:
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* `/exit`: Exit the CLI
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* `/attach`: Attach a loaded data source to the agent
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* `/save`: Save a checkpoint of the current agent/conversation state
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* `/dump`: View the current message log (see the contents of main context)
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* `/memory`: Print the current contents of agent memory
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* `/pop`: Undo the last message in the conversation
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* `/heartbeat`: Send a heartbeat system message to the agent
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* `/memorywarning`: Send a memory warning system message to the agent
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Once you exit the CLI with `/exit`, you can resume chatting with the same agent by specifying the agent name in `memgpt run --agent <NAME>`.
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### Examples
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Check out the following tutorials on how to set up custom chatbots and chatbots for talking to your data:
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* [Using MemGPT to create a perpetual chatbot](example_chat.md)
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* [Using MemGPT to chat with your own data](example_data.md)
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