MoonPay is bringing AI agents one step closer to trading crypto on your desktop.
This week the crypto payments firm released MoonAgents, a desktop app that connects Anthropic’s Claude Code and OpenAI’s Codex to users’ wallets, token swaps, prediction markets and other on‑chain services via a visual interface. MoonPay first shipped MoonAgents as a command‑line tool in February; the new graphical version, launched three months later, moves setup and plumbing behind the scenes so non‑technical users can plug in and go.
MoonAgents lets users sign in with existing Claude or Codex accounts instead of wrestling with manual configuration. The app ships with prebuilt “Skills,” scheduled Automations, and an Artifacts system that can generate custom dashboards and interfaces to manage financial activity—effectively turning local LLMs into programmable crypto assistants. “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.”
Security and control are central selling points. As AI agents gain more autonomy, real incidents and research have highlighted risks: in April, PocketOS founder Jeremy Crane said a Cursor agent running Anthropic’s Claude Opus wiped production data and backups with a single Railway API call, and researchers continue to warn about prompt‑injection attacks that can trick agents into leaking secrets or taking unintended actions. MoonPay says MoonAgents addresses these concerns by keeping users’ private keys on their machines rather than in the cloud. “The most important piece of security is not revealing the private keys,” Arifin 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.”
MoonAgents follows other recent MoonPay moves to integrate with ChatGPT‑style workflows. In May the company launched an app enabling people to buy cryptocurrencies like Bitcoin and Solana through ChatGPT by voice. According to Arifin, the key advantage of the desktop MoonAgents approach is enabling models to run locally and interact with blockchain services using locally held keys—letting users automate research, token exploration and trading workflows without exposing credentials to remote AIs. “The LLM is not the answer in this case,” he said. “It's empowering you to be able to do the research, dive into the meme coin, dive into the tokens, and dig into the trenches in a way that in the past was only restricted to the people that could write scripts.”
Disclosure: MoonPay Ventures is an investor in Dastan, parent company to an editorially independent Decrypt.
Bottom line: MoonAgents packages local LLMs into a user‑friendly crypto workstation, lowering the technical barrier for AI‑driven on‑chain activity—but it also underscores the need for robust safeguards and oversight as AI agents gain the power to move real funds.
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