Summary Reins is an open-source, privacy-first application designed to simplify interaction with Ollama, enabling users to experiment with self-hosted Large Language Models (LLMs) across multiple platforms. It targets LLM enthusiasts and developers seeking a user-friendly interface for configuring, managing, and chatting with various models, offering enhanced control and customization for individual conversations.

How It Works The application functions as a client interface for Ollama, abstracting the complexities of LLM interaction through a graphical user interface. It facilitates dynamic chat configurations, allowing users to individually set system prompts, select models, and adjust parameters like temperature, context size, and maximum tokens for each conversation. Key features include real-time message streaming, message editing/regeneration, and the ability to save custom prompts as reusable models.

Quick Start & Requirements

• Installation: Available on the App Store for iOS and macOS. Releases for Android and Windows can be found via links provided in the project repository.
• Prerequisites: Requires a running Ollama instance accessible by the client.
• Links: App Store, Android/Windows releases linked from the project's GitHub page.

Highlighted Details

• Cross-platform compatibility: Supports iOS, Android, macOS, and Windows.
• Granular chat control: Per-conversation customization of system prompts and LLM parameters (temperature, seed, context size, max tokens).
• Integrated image support: Allows sending and receiving images within chat sessions.
• Efficient interaction: Features real-time message streaming and message editing/regeneration capabilities.

Maintenance & Community Contributions are welcomed via pull requests. Specific details regarding maintainers, community channels (e.g., Discord, Slack), or a public roadmap are not detailed in the provided README.

Licensing & Compatibility

• License: GNU General Public License v3.0 (GPL-3.0).
• Compatibility: As a GPL-3.0 licensed project, its use in closed-source applications or derivative works may be restricted due to the copyleft nature of the license, requiring derived works to also be open-sourced under GPL-3.0.

Limitations & Caveats The application is dependent on a separate, running Ollama instance for LLM inference. Release availability and update frequency may vary across different platforms (App Store vs. direct releases). The project focuses on chat configuration and experimentation rather than advanced LLM development workflows.