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MiniMax Agent

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Desktop AI agent from MiniMax for coding, research and recurring work tasks

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MiniMax Agent

What it is

MiniMax Agent is the agent product from Chinese AI lab MiniMax, now presented on its site as MiniMax Code. It ships as a desktop app that can attach to a local project folder, read files, run commands, review diffs and debug pages in a built-in browser. A Coding mode covers software work while a Work mode handles research and documents. Larger jobs can be split across an Agent Team, and recurring tasks can be scheduled while the app is open. Users can approve permission requests remotely, add plugins, memory and Computer Use, and generate video with MiniMax's H3 Max model. It runs on MiniMax models or a custom provider.

Key features

  • Local project access with terminal and diffs
  • Coding and Work modes
  • Agent Team for splitting large tasks
  • Scheduled recurring tasks

What we liked

  • + Handles both code and research work
  • + Remote approvals keep long tasks moving
  • + Can use MiniMax models or your own provider

Worth noting

  • · Current plan prices are hard to find on the site
  • · Scheduled tasks need the desktop app open

Editor's notes

More context from AI BirdView

MiniMax built this agent to take on long, multi-step jobs instead of single chat replies, and the desktop version leans into that by working directly inside your own project folders. What stands out is how much of the loop it covers: reading code, running commands, checking results in a built-in browser and then reporting back while you approve the risky steps.

  • Attaches to a local project so it can read files, run terminal commands and inspect changes
  • Separate Coding and Work modes, so the same app handles development as well as research and documents
  • Agent Team breaks a large request into parts that run side by side
  • Remote Control and messaging integrations let you approve permissions away from your desk
  • Can run on MiniMax models, a MiniMax API key or a custom model provider

It is a strong fit for developers and technical operators who want an agent that can both write code and produce research or documents without switching tools. A practical tip: start with a small, well-scoped task in a copy of your project, review the permission prompts it raises, and only then hand it longer scheduled jobs.

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