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feat: Improve readme (#1658)

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Taranjeet Singh
2024-08-07 12:15:15 -07:00
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README.md
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@@ -30,20 +30,27 @@
Use cases enabled by Mem0 include:
- **Personalized Learning Assistants**: Enhance learning experiences with tailored content recommendations and progress tracking.
- **Customer Support AI Agents**: Provide context-aware assistance by remembering past interactions and user preferences.
- **Healthcare Assistants**: Keep track of patient history, treatment plans, and medication schedules for personalized care.
- **Virtual Companions**: Build deeper relationships with users by remembering personal details and past conversations.
- **Productivity Tools**: Streamline workflows by remembering user habits, frequently used documents, and task history.
- **Gaming AI**: Create immersive gaming experiences by adapting game environments based on player choices and progress.
- **AI Assistants and agents**: Seamless conversations with a touch of déjà vu – just like this one
- **Personalized Learning**: Tailored content recommendations and progress tracking
- **Customer Support**: Context-aware assistance with user preference memory
- **Healthcare**: Patient history and treatment plan management
- **Virtual Companions**: Deeper user relationships through conversation memory
- **Productivity**: Streamlined workflows based on user habits and task history
- **Gaming**: Adaptive environments reflecting player choices and progress
## Get Started
The simplest way to set up Mem0 is to create a managed deployment with Mem0 Cloud. This hosted solution offers a hassle-free experience with automatic updates, advanced analytics, and dedicated support. [Sign up](https://app.mem0.ai/) for Mem0 Cloud to get started.
The simplest way to set up Mem0 is to create a managed deployment with Mem0 Platform. The platform is a hosted solution and offers a hassle-free experience with automatic updates, advanced analytics, and dedicated support. [Sign up](https://app.mem0.ai/) for Mem0 Platform to get started.
If you prefer to install and manage Mem0 yourself, you can use the open-source Mem0 package. Read the [manual installation instructions](#install) below to get started with Mem0 on your machine.
If you prefer to install and manage Mem0 yourself, you can use the open-source Mem0 package. Read the [Installation instructions](#install) below to get started with Mem0 on your machine.
## Manual Installation Instructions <a name="install"></a>
## Installation Instructions <a name="install"></a>
The Mem0 package can be installed directly from pip command in the terminal.
@@ -115,7 +122,7 @@ history = m.history(memory_id=<memory_id_1>)
```
> [!TIP]
> If you are looking for a hosted version and don't want to setup the infrastucture yourself, checkout [Mem0 Cloud](https://app.mem0.ai/) to get started in minutes.
> If you are looking for a hosted version and don't want to setup the infrastucture yourself, checkout [Mem0 Platform](https://app.mem0.ai/) to get started in minutes.
## Core Features
@@ -172,6 +179,10 @@ If you have any questions, feel free to reach out to us using one of the followi
## Contributors
Join our [Discord community](https://mem0.ai/discord) to learn about memory management for AI agents and LLMs, and connect with Mem0 users and contributors.
Share your ideas, questions, or feedback in our [GitHub Issues](https://github.com/mem0ai/mem0/issues).
We value and appreciate the contributions of our community. Special thanks to our contributors for helping us improve Mem0.
<a href="https://github.com/mem0ai/mem0/graphs/contributors">