AiRC (by Ryan Cox) - (macOS Apps)

		Developer:	Ryan Cox (1)
		Price:	Free
		Rankings:	0
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		Lists:	2 + 0
		Points:	8 + 1 (5.0) ^¡
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Description

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.

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What's new

Version: 2.1
Updated: 2025-02-18 00:02:01 UTC
UI Updates

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Today: Free
Minimum: Free 2025-01-19 01:56:01 UTC
Maximum: $7.99 2025-01-19 01:56:01 UTC

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Developer

Ryan Cox
Platforms: macOS Apps (1)
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Additional Information

Version: 2.1
ID: com.AiRC.AiRC-LLM
Category: macOS Apps › Developer Tools
OS: iPad, iPhone, macOS, macOS 17.6 and up
Size: 14 Mb
Supported Languages: English
Content Rating: 4+
Mac App Store Rating: 5.0 (1)
Updated: 2025-02-18 00:02:01 UTC
Release Date: 2025-01-15 08:00:00 UTC

AiRC Short URL: Copied!

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