feat: Improve readme (#1658)
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README.md
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README.md
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Use cases enabled by Mem0 include:
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Use cases enabled by Mem0 include:
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- **Personalized Learning Assistants**: Enhance learning experiences with tailored content recommendations and progress tracking.
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- **AI Assistants and agents**: Seamless conversations with a touch of déjà vu – just like this one
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- **Customer Support AI Agents**: Provide context-aware assistance by remembering past interactions and user preferences.
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- **Healthcare Assistants**: Keep track of patient history, treatment plans, and medication schedules for personalized care.
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- **Personalized Learning**: Tailored content recommendations and progress tracking
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- **Virtual Companions**: Build deeper relationships with users by remembering personal details and past conversations.
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- **Productivity Tools**: Streamline workflows by remembering user habits, frequently used documents, and task history.
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- **Customer Support**: Context-aware assistance with user preference memory
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- **Gaming AI**: Create immersive gaming experiences by adapting game environments based on player choices and progress.
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- **Healthcare**: Patient history and treatment plan management
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- **Virtual Companions**: Deeper user relationships through conversation memory
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- **Productivity**: Streamlined workflows based on user habits and task history
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- **Gaming**: Adaptive environments reflecting player choices and progress
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## Get Started
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## Get Started
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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.
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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.
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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.
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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.
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## Manual Installation Instructions <a name="install"></a>
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## Installation Instructions <a name="install"></a>
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The Mem0 package can be installed directly from pip command in the terminal.
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The Mem0 package can be installed directly from pip command in the terminal.
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@@ -115,7 +122,7 @@ history = m.history(memory_id=<memory_id_1>)
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```
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```
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> [!TIP]
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> [!TIP]
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> 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.
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> 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.
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## Core Features
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## Core Features
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@@ -172,6 +179,10 @@ If you have any questions, feel free to reach out to us using one of the followi
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## Contributors
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## Contributors
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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.
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Share your ideas, questions, or feedback in our [GitHub Issues](https://github.com/mem0ai/mem0/issues).
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We value and appreciate the contributions of our community. Special thanks to our contributors for helping us improve Mem0.
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We value and appreciate the contributions of our community. Special thanks to our contributors for helping us improve Mem0.
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<a href="https://github.com/mem0ai/mem0/graphs/contributors">
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<a href="https://github.com/mem0ai/mem0/graphs/contributors">
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