Mavis is the multi-agent collaboration mode of MiniMax Agent: you state a goal in natural language, the Leader breaks it into subtasks and assembles an agent team, Workers run them concurrently, and the Verifier independently checks results and sends them back until they pass.
Mavis: MiniMax Agent's Multi-Agent Collaboration Mode
Product Overview
Mavis is a multi-agent collaboration mode introduced by MiniMax Agent, named after the idea of "MiniMax as a Jarvis". Instead of relying on a single agent, it builds a three-role system — Leader for orchestration, Worker for execution and Verifier for acceptance — driven by the Team Engine, which handles automatic task decomposition, concurrent scheduling and adversarial quality loops. Users state a goal, and Mavis assembles an agent team that divides the work, iterates and corrects itself internally, then delivers a verifiable result. It targets end-to-end handling of long-running complex tasks.
This differs from the "one model thinks it through from start to finish" approach. Mavis hands the job to a team with distinct responsibilities: one plans, others execute, and one exists purely to find faults. The structure answers a practical problem — long chains of reasoning tend to stall and come back to the user with questions.
Key Features
Intelligent task decomposition: The Leader splits a complex goal into subtasks that can run in parallel and draws up an execution plan.
Multi-role collaboration: Worker (execution), Verifier (acceptance) and Leader (management) roles are built in, each covering its part of the process.
Concurrent batch engine: Team Engine schedules multiple tasks in parallel and triggers downstream tasks automatically once dependencies are met.
Adversarial quality acceptance: The Verifier independently inspects what the Worker delivered and rejects it automatically when it finds errors, asking for a redo.
Autonomous iteration: When rejected, the Worker analyses why and re-executes until the result passes.
Long-term memory learning: After a task completes, Mavis summarises patterns and updates a memory file so later execution strategies improve.
One-click delivery: The final output is a complete, directly usable artifact — an HTML page, a research report, a code project.
How to Use It
Get access: Visit the official MiniMax Agent site at https://agent.minimaxi.com/ , download and install the desktop client, sign in and open the main interface.
Switch mode: Select Mavis mode in the interface to enable the multi-agent workflow.
State the task: Describe the goal in natural language. There is no need to decompose steps or write detailed prompts yourself.
Confirm the plan: Review the generated plan and the agent team assignment; once confirmed, the engine starts executing.
Wait for delivery: The team handles decomposition, execution, acceptance and iteration internally, and the Leader delivers the final result.
Inspect details: Click any agent conversation in the sidebar to read the full collaboration process and reasoning of Workers and the Verifier.
Use Cases
In-depth research reports: Retrieve multiple sources in parallel, cross-verify them through the Verifier, and produce a traceable structured report.
Front-end implementation: Split page requirements across content, design and coding Workers; after Verifier acceptance, ship a directly runnable single-file HTML page.
Full-cycle development: Use Developer, Tester and Reviewer roles in an adversarial loop covering coding, testing and security review, delivering reproducible engineering output.
Long-form content: Extract core arguments and complete writing and layout in parallel, delivering both Markdown and HTML versions without mid-task intervention.
Data verification and correction: The Verifier independently checks the factual accuracy and data sources of Worker output, rejecting and triggering repair when it finds errors.
Key Advantages
Less context anxiety: Multi-agent collaboration replaces single-agent long-chain reasoning, lowering the chance the model stalls midway and keeps asking the user.
Full automation: From decomposition to acceptance and delivery, the team works on its own after a single instruction.
Adversarial quality control: The Worker/Verifier loop is designed to keep factual accuracy and logical consistency.
Concurrency: Independent subtasks run in parallel, compressing overall time on complex jobs.
Lower barrier: No prompt engineering needed — you talk to it the way you would brief a project lead.
Limits and Cautions
Form factor: Mavis is a mode inside the MiniMax Agent desktop client. It requires installing the desktop app and signing in; public material does not mention a web or mobile entry point.
Check the claims: Statements such as "runs the full course autonomously in 28 minutes" come from official material. Actual time and results vary with task complexity and should not be read as guaranteed figures.
Automated acceptance is not correctness: The Verifier loop improves consistency, but output still needs human review, especially for anything published externally, running in production or feeding formal decisions.
Billing and quotas: Material mentions One Plan combining token and agent billing. Prices and quotas should be confirmed through official MiniMax Agent channels.
Capability boundaries: Available third-party tools and plugins, and file size limits, are not specified. Verify at small scale before relying on anything beyond what is described.
Frequently asked questions
How is Mavis different from an ordinary AI assistant?
Mavis is a multi-agent mode inside the MiniMax Agent desktop client, splitting work across Leader, Worker and Verifier roles while Team Engine handles decomposition, concurrent scheduling and adversarial acceptance. An ordinary assistant is usually a single model in single-turn or short-chain dialogue; Mavis targets long-running complex tasks that need multi-step collaboration and an acceptance step.
Do I need to write prompts for Mavis?
No elaborate prompting is required. You describe the goal in natural language, the Leader splits it into parallel subtasks and generates a plan, and you confirm before execution starts.
What does the Verifier do?
The Verifier independently inspects what Workers delivered, automatically rejects work with errors and asks for a redo; Workers analyse the cause and re-run until it passes. This adversarial layer targets factual accuracy and logical consistency, but it does not replace human review.
What do I need before using Mavis?
Visit the official MiniMax Agent site, download and install the desktop client, sign in, then switch to Mavis mode. Public material does not provide a web entry point or specific pricing and quota details, so confirm those through official channels.
