githubinferredactive
mnemoria
provenance:github:Pawasbb/mnemoria
Store and retrieve long-term memory for AI agents with Mnemoria, ensuring persistent and searchable context across conversations and sessions.
README
# 🌟 mnemoria - Smart Storage for Your AI Memory Needs ## 🔗 Download [](https://github.com/Pawasbb/mnemoria) ## 📜 Description mnemoria is a smart solution for persisting memory storage tailored for AI agents. With features like hybrid semantic and full-text search, it offers an efficient way for AI applications to store and retrieve data. The append-only binary format ensures durability, while zero-copy reads enhance performance, making it an excellent choice for anyone looking to manage AI memory effectively. ## 🚀 Getting Started To start using mnemoria, follow the steps below: 1. **Visit the download page:** Click [here](https://github.com/Pawasbb/mnemoria) to access the repository and download the software. 2. **System Requirements:** - Operating System: Windows, macOS, or Linux - RAM: Minimum 4 GB recommended - Disk Space: At least 100 MB of free space 3. **Download mnemoria:** - On the repository page, find the "Releases" section. - Download the latest version of mnemoria that suits your system. 4. **Install the software:** - For Windows, run the `.exe` file after downloading. - For macOS, open the `.dmg` file and drag the app to your Applications folder. - For Linux, use the package manager or extract the `.tar.gz` file and run the software. ## 🛠️ Features - **Persistent Memory Storage:** mnemoria keeps your data safe and retrievable, even after the application closes. - **Hybrid Search:** Quickly find what you need with a combination of semantic and full-text search functionalities. - **Zero-Copy Reads:** Improve performance with efficient data access without unnecessary duplication of resources. - **Versatile Compatibility:** Works seamlessly across different platforms, including Windows, macOS, and Linux. ## 📚 Usage Once installed, you can begin using mnemoria with the following steps: 1. **Launch the application:** Open mnemoria from your applications folder or desktop shortcut. 2. **Create a new memory:** - Click on "New Memory" to start storing data. - Enter a title and any initial information you want to save. 3. **Search for data:** Use the search bar to quickly locate your stored memories based on keywords. 4. **Edit memories:** Select a memory and click "Edit" to update the information as needed. 5. **Export or import memories:** You can back up your memories by exporting them, or import existing memory files to access older data. ## 📖 Documentation Comprehensive documentation is available on our GitHub page. It provides in-depth guides on: - Detailed installation procedures - Common troubleshooting steps - Advanced features for power users ## ❓ FAQs ### What types of AI agents can benefit from mnemoria? Any AI agent that requires memory management will benefit from mnemoria's advanced storage capabilities. This includes chatbots, virtual assistants, and more. ### Can I access my data offline? Yes. mnemoria stores all data locally on your device, allowing offline access at any time. ### How does the search functionality work? mnemoria uses hybrid search technology to provide fast and relevant results by combining semantic and full-text search methods. ## 🧑🤝🧑 Community Join our community to share your experiences, ask questions, and learn more about using mnemoria efficiently. Connect with other users and developers through the following platforms: - **GitHub Discussions:** Engage in conversations with other mnemoria users. - **Slack Channel:** Join our real-time chat for swift support and updates. ## 🛠️ Troubleshooting If you face any issues during installation or usage, consider the following: - **Verify system requirements:** Ensure your device meets the necessary criteria. - **Check for updates:** Make sure you are using the latest version of mnemoria. - **Review logs:** Look at the application logs for any error messages that can guide you. ## 🔗 Additional Resources - **GitHub Repository:** Explore source code, contribute suggestions, or report issues via [Pawasbb/mnemoria](https://github.com/Pawasbb/mnemoria). - **YouTube Tutorials:** Watch helpful video guides. - **Blog Posts:** Read articles about the latest features and updates. ## 🏗️ Contribution Guidelines If you want to contribute to mnemoria, start by forking the repository. Follow best practices and submit your pull requests. We appreciate involvement from everyone in the community. ## 📝 License mnemoria is licensed under the MIT License. You can freely use and modify the code in compliance with the license terms. ## 📅 Change Log Refer to the change log on the GitHub repository for a detailed history of updates and improvements to mnemoria. Stay informed about new features and enhancements.
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First discoveredMar 21, 2026
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first seenMar 25, 2024
last updatedMar 21, 2026
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