📌Overview

Purpose: 5ire is designed to serve as a sleek AI assistant and MCP client, providing a powerful interface for connecting AI models to various data sources and tools.

Overview: The framework introduces an innovative approach to enhancing AI interactions through its MCP (Multi-Context Protocol) server capabilities. It enables seamless integration with multiple AI models and provides necessary tools for more than just simple conversations, facilitating enhanced data handling and processing capabilities.

Key Features:

Support Tools via MCP Servers: 5ire offers an open protocol that connects AI applications to various tools, allowing for advanced interactions such as file system access, database interactions, and data retrieval from remote sources.
Local Knowledge Base: Utilizing the bge-m3 embedding model, 5ire supports the local vectorization of multiple document types, enhancing its Retrieval-Augmented Generation (RAG) capabilities by storing and processing vectors locally.
Usage Analytics: The analytics feature tracks API usage and spending, enabling users to optimize their service use based on informed decisions.
Prompts Library: This feature allows users to create and organize prompts with versatile variable support for enhanced AI responses.
Bookmarks: Users can save conversations as bookmarks, ensuring that essential content remains accessible even if original messages are deleted.
Quick Search: A keyword search functionality across all conversations makes it easy for users to locate specific information quickly.

5ire: A Sleek AI Assistant & MCP Client

Prerequisites for Activating Tools Feature

Before activating the tools feature, ensure the following components are installed:

Python
Node.js
uv (Python package manager)

These components constitute the runtime environment for the MCP Server. If you don't plan to use the tools feature immediately, you can skip this step and complete it later.

For detailed installation instructions, please see our Installation Guide.

Development Guide

To contribute code to 5ire or develop apps based on 5ire, start with the Development Setup Guide.

Features

⚒️ Support Tools via MCP Servers

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect devices to peripherals, MCP provides a standardized way to connect AI models to different data sources and tools.

With tools, you can access the file system, obtain system information, interact with databases, access remote data, and more, beyond simple conversations.

We have created an open marketplace for MCP Servers that empowers users to discover exceptional tools and share their own MCP server creations.

💡 Local Knowledge Base

5ire integrates the bge-m3 local embedding model, which excels in multilingual vectorization. It supports parsing and vectorization of docx, xlsx, pptx, pdf, txt, and csv documents, enabling storage of these vectors to power robust Retrieval-Augmented Generation (RAG) capabilities locally.

📈 Usage Analytics

Track your API usage and spending to gain a better understanding and make informed decisions to optimize your use of the service.

✨ Prompts Library

Create and organize your own highly versatile prompts, supporting variables for flexibility.

🔖 Bookmarks

Bookmark each conversation; even if the original messages are deleted, saved bookmarked content remains unaffected.

🔍 Quick Search

Perform keyword searches across all conversations to quickly find the information you need.

TIP:
Since 5ire uses native dependencies, it must be packaged on the corresponding platform. On macOS, you may need to configure APPLE_TEAM_ID, APPLE_ID, and APPLE_ID_PASS for notarization to avoid security alerts.

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