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BackMoonPay's MoonAgents App Connects AI to Crypto Wallets
MoonPay's MoonAgents App Connects AI to Crypto Wallets
In Entwicklung
Decrypt03.06.2026Technik2 dk okuma

MoonPay's MoonAgents App Connects AI to Crypto Wallets

Auf einen Blick

  • MoonPay launched MoonAgents, a desktop app connecting AI models like Claude and ChatGPT to crypto wallets and blockchain services.
  • It aims to enhance security by storing private keys locally and encrypting them, preventing AI access.

KI-generierte Zusammenfassung

Warum es wichtig ist

MoonPay has launched MoonAgents, a desktop application that connects AI models like Anthropic's Claude and OpenAI's Codex to cryptocurrency wallets and blockchain services. This follows their earlier command-line version and a recent app allowing crypto purchases via ChatGPT.

Schriftgröße

Claude and ChatGPT can write code—and MoonPay wants to make them trade crypto, too.

The crypto payments company on Wednesday launched the MoonAgents desktop app, which allows users to connect Anthropic’s Claude Code and OpenAI’s Codex to crypto wallets, token swaps, prediction markets, and other blockchain services through a visual interface. (Disclaimer: MoonPay Ventures is an investor in Dastan, parent company to an editorially independent Decrypt.)

"All that stuff is hidden under the hood for you," MoonPay Head of Agents Kevin Arifin told Decrypt. “It will set up Codex or Claude locally on your computer behind the scenes, and then it's a front end.”

MoonPay first launched MoonAgents in February as a command-line tool. Fast forward three months, and the desktop version moves those capabilities into a graphical interface that handles much of the setup behind the scenes.

According to Arifin, users can sign in with existing Claude or Codex accounts rather than manually configuring the underlying tools. The software includes prebuilt Skills, scheduled Automations, and an Artifacts system that can generate custom dashboards and other interfaces for managing financial activity.

However, as AI agents gain more autonomy, concerns about access and oversight have grown.

In April, PocketOS founder Jeremy Crane claimed a Cursor agent running Anthropic’s Claude Opus deleted production data and backups through a single Railway API call, leaving only a three-month-old recoverable backup. Security researchers have also warned about prompt injection attacks, which can trick AI agents into revealing sensitive information or performing actions the user never intended.

According to Arifin, MoonAgents addresses similar concerns by storing private keys locally, instead of on a cloud server.

“The most important piece of security is not revealing the private keys,” he said. “The private keys are stored locally on the user’s computer and are fully encrypted, so the LLM can’t just access or view them. All the keys are stored in such a way that there’s no way for the LLM to see those keys.”

The MoonAgents app is the latest ChatGPT-facing product produced by MoonPay. In May, MoonPay launched a new app that lets users buy cryptocurrencies, including Bitcoin and Solana, through ChatGPT just by speaking with the chatbot.

The biggest use case for the MoonAgents app, Arifin explained, is allowing AI models to run locally on a user's computer, where they can interact with blockchain services using the user's private keys without those credentials being exposed to the AI.

Worauf zu achten ist

KI-Ausblick — Möglichkeiten, keine Fakten

  • Further development of AI agents capable of autonomous crypto trading.

    Sehr wahrscheinlich · Mittelfristig

  • Increased scrutiny from cybersecurity experts and regulators regarding AI-driven financial activities.

    Sehr wahrscheinlich · Kurzfristig

Offene Fragen

  • What is the exact success rate of prompt injection attacks against MoonAgents?
  • How will regulatory bodies respond to AI agents trading cryptocurrencies?
  • What are the long-term implications for market volatility with AI-driven trading?
  • Will other companies follow MoonPay's lead in integrating AI with crypto services?

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This article was originally published by Decrypt.

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