AiRC vs Cursory

AiRC, is a versatile tool designed to interact with large language models (LLMs) and manage AI models locally or via APIs. It provides a user-friendly interface for chatting with AI models, managing downloaded models, and integrating with external AI services like Ollama and DeepSeek. Here's a breakdown of what the application can do: Key Features: 1. Chat with AI Models: * Users can interact with AI models by sending text prompts and receiving responses. * Supports both Ollama (local models) and DeepSeek (cloud-based models) for generating responses. * The chat interface supports Markdown rendering and syntax highlighting for code blocks, making it suitable for technical discussions. 2. Model Management: * Users can download, delete, and duplicate AI models via the Ollama integration. * The application provides a model management interface where users can view installed models, check for updates, and download new models. * Models can be filtered and sorted by name, size, or last updated date. 3. DeepSeek Integration: * The app integrates with DeepSeek, a cloud-based AI service, allowing users to interact with DeepSeek models. * Users can stream responses from DeepSeek models, enabling real-time interaction. * The app also allows users to check their DeepSeek API balance and manage their API key. 4. System Prompt Customization: * Users can set a system prompt to guide the AI's behavior during conversations. * This feature allows for more customized interactions, such as instructing the AI to act as a specific type of assistant. 5. File and Image Handling: * Users can drag and drop text files and images into the chat interface. * The app supports image previews and allows users to include file content in their prompts. 6. Settings and Customization: * The app provides a settings menu where users can configure server settings (e.g., host, port), enable or disable AI services (Ollama, DeepSeek), and adjust appearance settings (e.g., text size, Markdown rendering). * Users can also enable or disable syntax highlighting and choose between different text sizes for better readability. 7. Error Handling and Notifications: * The app includes robust error handling to manage issues like invalid URLs, missing API keys, or server unavailability. * Users are notified of errors via popovers or alerts, ensuring a smooth user experience. 8. Cross-Platform Support: * The app is designed to work on both macOS and iOS, with platform-specific optimizations for each environment. Use Cases: * AI-Powered Chat: Users can have conversations with AI models, ask questions, get help with coding, or generate creative content. * Model Management: Developers or AI enthusiasts can manage their local AI models, download new ones, and keep them updated. * Technical Assistance: The app's support for Markdown and syntax highlighting makes it ideal for technical discussions, code reviews, or debugging. * Custom AI Interactions: By setting custom system prompts, users can tailor the AI's behavior to specific tasks, such as acting as a tutor, a coding assistant, or a creative writer. Summary: AiRC is a powerful application for interacting with AI models, managing local and cloud-based models, and customizing AI interactions. It’s designed for both casual users and developers who want to leverage AI for various tasks, from casual chatting to technical problem-solving. The app’s integration with Ollama and DeepSeek makes it a versatile tool for anyone working with large language models.

Cursory is an iOS app that lets you control Cursor's Cloud Agents API right from your smartphone. Specify a repository, launch an agent, monitor progress and conversation logs, send follow-up instructions, and stop or delete agents — all on the go. - Create, list, and inspect agents - View conversation history and send follow-ups - Stop running agents and clean up completed ones - GitHub integration (optional): browse repositories and access pull requests - Attach images to instructions (optional): pick from your photo library A Cursor API key is required. GitHub integration is optional.