Remind AI – The Artificial Memory on Your Device
Remind AI, also referred to as reMind, is an open-source, customizable AI-assisted memory solution designed to capture and utilize your digital activity as a personal memory aid. It emphasizes on-device operation, local control, and the ability to tailor the memory system to individual workflows. The project promotes open-source collaboration and provides a pathway to download, configure, and extend the tool from its GitHub repository.
How it works
- Install required components. Download and set up the local LLM (e.g., via Ollama) and the Remind application.
- Run Remind locally. The tool runs on your device, storing data locally to enable privacy-friendly memory management.
- Use and customize. Interact with Remind to remember notes, meetings, and tasks. Customize components and prompts to fit your needs.
- Open-source and flexible. Access the source code to tailor functionality or contribute to the project.
Getting Started
- Download and install the LLM you want (e.g., via Ollama).
- Download Remind and set it up for personal usage.
- If you want customization, obtain the source code from GitHub.
- Remind is 100% open-source and fully customizable to fit your needs.
Customization
- Users can customize prompts, data capture behavior, and integration points to suit personal workflows.
- The project supports adding local LLMs and configuring how memory queries are processed and stored.
FAQs
- What is reMind? A local-memory AI assistant that helps you remember and organize digital information.
- How do I get started? Install the required LLM, install Remind, and begin using it for personal memory tasks.
- Is it open source? Yes, with downloadable source code on GitHub for customization.
Safety and Privacy
- Designed for local usage to minimize data exposure.
- Being open-source, you can audit and modify the code to meet privacy requirements.
Core Features
- On-device operation with local memory storage
- Open-source and fully customizable components
- Easy startup with a guided installation flow
- Compatibility with popular local LLMs (e.g., Ollama)
- Prompts and data capture customization for personalized workflows
- Community-driven development and collaboration via GitHub
- Support for personal task, note, and meeting memory capture