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March 18, 2026
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Your AI supercompanion for enhanced creativity and productivity.
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Overview

MiniMax Agent is an AI assistant designed to enhance creativity and productivity across a multitude of tasks. It achieves this with its various inbuilt tools, which cover areas such as meditation, podcasting, coding, and data analysis.

The MiniMax Agent is equipped to handle tasks from the simple, such as facilitating the building of a simple birthday card in HTML, to the complex, like assisting in the construction of a full-stack AI tools directory website.

Furthermore, the service empowers users to comprehend complex AI topics such as mainstream AI image generation technologies, and it can also guide in the creation of various types of websites, ranging from promotional to complex interactive ones.

The agent also facilitates tasks such as planning travel budgets and studying various market dynamics like stock analysis. A key highlight of the MiniMax Agent is its capability for advanced coding, offering sophisticated developer workflows, including multi-file edits and test-validated repairs.

Its design prioritizes performance and responsiveness, making it an efficient choice for complex, long-horizon toolchains with strong planning. Overall, MiniMax Agent serves as a versatile AI companion for tackling a broad range of tasks.

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Releases

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MiniMax Agent v2.7 M
Mar 18, 2026
Much stronger software-engineering performance, with major gains in multilingual coding, repo-level delivery, terminal workflows, and live production debugging.

Bigger agent upgrade, adding native Agent Teams style collaboration and much stronger tool or skill adherence in complex harnesses.

Better professional office work, with stronger Word, Excel, and PPT editing plus higher-quality multi-round revisions on existing files.

More capable real-world task execution, including reading reports, building financial models, generating slides, and writing research documents as part of one workflow.

A new self-evolution angle is central to the update, with the model helping improve its own harness, memory, workflows, and optimization loops.
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