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Home»Cloud»Qtum Launches Ally: An AI Suite That Unites LLM Power, Local Control, and True Workflow Automation
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Qtum Launches Ally: An AI Suite That Unites LLM Power, Local Control, and True Workflow Automation

Don MabonaBy Don Mabona2025-10-30Updated:2025-10-30No Comments3 Mins Read
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 Singapore, October 30th, 2025 – The Qtum Foundation today announced the launch of Qtum Ally, a next-generation desktop AI agent designed to move beyond basic conversational tools toward true intelligent automation.

Unlike most cloud-based assistants, Ally runs directly on Windows and Mac, giving users greater privacy, performance, and control. Built on the Model Context Protocol (MCP), a universal interface standard that enables AI systems to interact with external data and tools, Ally provides seamless integration and coordination between multiple AI models.

With access to 12 leading large language models (LLMs) preloaded, Ally allows users to build advanced, multi-model workflows, host their own models, and connect MCP servers, all within a single, easy-to-install desktop app.

You can download Qtum Ally for Windows or Mac here: https://qtum.ai/download

“Qtum Ally makes productivity about orchestration, not overload,” said Miguel Palencia, Co-Founder of Qtum. “By bringing multiple LLMs into one refined workspace powered by MCP, we give users real control and simplicity. Ally eliminates clutter and turns AI into a genuine performance multiplier.”

Actionable AI Beyond Chat

Qtum Ally fully supports the Model Context Protocol (MCP), enabling AI models to do more than generate text – they can perform coordinated actions.

MCP functions like the “USB-C of AI,” a universal connector allowing models to share data and issue commands across software tools, APIs, and online services.

Using Ally’s built-in MCP hosts and servers, users can automate multi-step workflows, combine different AI models for reasoning, planning, and execution, and complete tasks with minimal input – for example, locate available rentals, generate a presentation, and automatically send it by email.

Ally comes pre-configured with several MCP hosts and lets users easily add more. Each host provides specific functions to connect local databases, APIs, or online data sources, turning Ally into a customizable automation hub.

Desktop Control and Data Privacy

Qtum Ally runs locally, not in the cloud, ensuring data privacy, transparency, and control. It operates natively on Windows and macOS, runs offline for secure and consistent performance, and collects no personal information beyond what is required by the models themselves.

This local-first design aligns with Qtum’s long-standing principles of user independence, decentralization, and open standards.

Access Premium AI for Free

Qtum Ally is free to download and use, and for a limited time, users can enjoy complimentary access to premium features from top models such as ChatGPT-5, Qwen, DeepSeek, Claude, and Gemini.

Download Qtum Ally directly from the official Qtum GitHub repository:

https://github.com/qtumproject/ai-agent/releases/tag/v0.0.6

About Qtum

Founded in 2017, Qtum is a hybrid blockchain platform that merges Bitcoin’s UTXO stability with Ethereum’s smart contract flexibility. Powered by Proof-of-Stake consensus, Qtum operates as a fully decentralized network listed on major exchanges such as Binance, Kraken, Upbit, OKX, and Huobi.

Qtum has delivered nearly 50 core updates since inception and continuously integrates advancements from both Bitcoin and Ethereum. In March 2024, the foundation expanded into AI through the acquisition of a large-scale NVIDIA GPU farm. Qtum Ally represents the next step in this initiative, with upcoming plans to integrate the Qtum blockchain token directly into the Ally platform.

For media inquiries:

[email protected]

See Also:

https://qtum.org

https://x.com/qtum

https://github.com/qtumproject/ai-agent

https://coinmarketcap.com/currencies/qtum/

https://www.binance.com/en/trade/QTUM_USDT?type=spot

a next-generation desktop AI agent intelligent automatio Qtum Ally Qtum Foundation
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