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MiniMax Agent

MiniMax Agent is a general-purpose AI agent that plans and executes long-horizon tasks end to end — deep research, decks, full-stack apps and browser work — from a desktop client, the web or your phone.

ProductivityCode DevelopmentAI Agent#Workflow Automation#Multimodal#Agent
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Aug 21, 2026
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agent.minimax.io
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MiniMax Agent Product Information

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Aug 21, 2026
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What is MiniMax Agent?

MiniMax Agent is a general-purpose AI agent built to carry work through to a finished result rather than answer one question at a time. The vendor's own framing is direct: it is a general intelligent agent designed to tackle long-horizon, complex tasks, launched on 19 June 2025 under the slogan code is cheap, show me the requirement. That slogan is the product thesis in miniature — the scarce thing is a clearly stated requirement, and the agent's job is to turn it into working output.

Mechanically, the product describes itself as more than a single model with tools bolted on. Supported by a multi-agent system, it formulates expert-level solutions through multi-step planning, breaks down task requirements and executes multiple sub-tasks to deliver the final result. In practice that means a request like "research this market and give me a deck" produces a plan, a sequence of sub-tasks and an actual file, rather than a wall of text describing what you should go do.

It comes from MiniMax, a Chinese AI company that builds its own model family, so the agent runs on first-party models rather than reselling someone else's. That vertical integration is the main structural difference from agent products built purely as orchestration layers, and it shows up in the pricing, which is denominated in model tokens rather than opaque credits. On the marketing side the official site sums the pitch up as minimize effort, maximize intelligence.

The product has moved quickly and is worth placing on a timeline before you compare it against reviews you find elsewhere. After the June 2025 launch, the mobile app followed in October 2025 alongside the agent-optimised M2 model, and the desktop app arrived in January 2026 together with a 2.0 web release and Expert Agents. By August 2026 the desktop client is the flagship surface, and much of the newest capability — browser control, long-running goals, persistent memory, a plugin marketplace — lands there first. Anyone reading a 2025 review is reading about a substantially different product.

Core Features

  • Multi-step planning with a team of agents: The workspace exposes this directly. On the current interface there is an Agent Team switch that is enabled by default, and a model selector that defaulted to MiniMax-M3 during our review, with a tooltip inviting you to try M3 for everyday tasks. Work is decomposed and parallelised rather than handled in one long linear conversation.
  • Deep research that ends in a document: Among the officially listed capabilities are a Lightning mode for fast everyday chat, deep research that synthesises web-wide information into reports, multimodal generation of video, audio and images, polished presentations, full-stack apps, and coding with debugging. The research and presentation pairing is the single most commonly cited reason people adopt this class of tool.
  • Browser control with a confirmation gate: The desktop agent operates a real browser continuously — reading pages, filling forms, uploading files from the current task or workspace, and checking the result after each action. Browser Use 2.0 added multi-tab handling, and outward-facing actions require explicit approval before they run, which matters when an agent is acting inside your logged-in sessions.
  • Goal mode for work that outlives a session: Goal mode lets you set complex or long-running work as an objective the agent keeps progressing against, with status and elapsed time visible at any point. When it needs more information or permission it asks at the relevant step, and it returns a clear result when the goal completes or cannot continue. This is the feature that separates a long-horizon agent from a chatbot with a longer context window.
  • Memory that carries between tasks: Proactive Memory retains long-term context such as communication preferences, work habits and project conventions, then applies it when relevant later. Rather than re-briefing the agent every session, your conventions accumulate.
  • Plugins, MCP and connected tools: There is a built-in plugin marketplace covering financial data, company lookup, legal search, knowledge workflows and office work, with WPS and WeCom plugins added subsequently and a dedicated page for managing MCP servers. On the protocol side the vendor advertises native MCP integration covering GitHub and GitLab, Slack and Figma.
  • Skills and domain experts: The classic interface organises capability into Skills, an Experts system grouped into Office, Finance and Coding collections, plus the MaxHermes and MaxClaw lab entries. Instead of prompting a blank agent into a specialism, you pick one that already has the domain framing.
  • Build and ship, not just draft: The build side is unusually complete for an agent product, including a Supabase integration supplying database, authentication and APIs, built-in cron jobs, an MCP Builder, version control with checkpoint restore, and Stripe payments. Generated sites can be deployed, given a custom subdomain or bound to your own domain.
  • Multimodal in and out: Four shortcuts sit under the composer: video generation on H3, document, website and image generation. Image and video can also be inputs, not just outputs.

Use Cases

  1. Research that has to end in a deliverable: An analyst asks for a market landscape and receives a structured report or an investor-ready deck, with the research, synthesis and formatting handled as one chain. This is the workflow the deep research and presentation features were built around, and it is where the multi-step planning pays for itself.
  2. Shipping a working web app from a description: A founder or internal team describes an application and gets a deployed full-stack result, with database, authentication and payments wired in rather than left as an exercise. Checkpoint restore makes it safe to iterate aggressively, since a bad direction can be rewound instead of untangled.
  3. Repetitive browser work nobody wants to do: Pulling data from sites without APIs, filling recurring forms, checking dashboards and gathering competitive information. Because the agent verifies the result after each action and pauses before anything outward-facing, this is closer to supervised automation than a blind script.
  4. Long-horizon tasks that span days: Long-horizon tasks are the category this product was built for — monitoring something over time, working through a large backlog, or maintaining a project where progress happens in increments. Goal mode plus scheduled tasks covers work that no single chat session could hold.
  5. Coding assistance inside a real repository: Code review of local changes, debugging, worktree management and BYOK configuration for custom models. The desktop client's access to the local filesystem and terminal is what makes this materially different from pasting snippets into a chat window.
  6. Content and media production: Presentations, images, audio and video generated from one place, with the H3 video model available on higher tiers. For teams already producing marketing material, the value is consolidation rather than any single best-in-class generator.
  7. Office workflows through plugins: Financial data lookups, company research, legal search and document work routed through marketplace plugins, which is where the WPS and WeCom additions point — this product has a real centre of gravity in Chinese office software as well as Western tooling.

How to use MiniMax Agent

  1. Open agent.minimax.io and try it in the browser first. The web workspace requires no installation and is the fastest way to see whether the planning quality suits your work.
  2. Install the desktop client once you are past evaluation. The desktop client ships for macOS on both Apple silicon and Intel, plus 64-bit Windows, and it is where local files, the terminal and browser control become available. Most of the 2026 feature work landed here first.
  3. Give it a requirement, not a prompt fragment. Given the product's own slogan, the highest-leverage thing you can do is state the outcome, the constraints and the format you want. Vague inputs waste tokens on a plan you will reject.
  4. Review the plan before execution. For complex tasks the agent proposes a breakdown; correcting it at that stage costs far less than correcting a finished deliverable.
  5. Approve permissions deliberately. Browser control and file access are gated, and outward-facing actions ask first. Read what is being requested rather than clicking through.
  6. Use Goal mode for anything long-running, and check the elapsed time and status rather than watching it work. Set scheduled tasks for anything that repeats.
  7. Connect the tools you actually use through the plugin marketplace or MCP, so the agent acts on live systems instead of on what you paste in.
  8. Watch your token consumption in the usage view during the first week, since the plan you need depends entirely on how heavy your real workload turns out to be.

Tips & Best Practices

  • Write requirements, not prompts: This product is explicitly designed around the idea that a clear requirement is the scarce input. Stating acceptance criteria up front — what the output must contain, what it must not do, what format it lands in — changes results more than any prompt-engineering trick.
  • Match the model to the job: The selector is there for a reason. Lighter models handle routine chat and summarisation economically, while the flagship is worth reserving for planning-heavy or long-context work. Since all tiers share one quota across text, image and speech, careless model choice is directly a budget decision.
  • Let the plan be the review point: The cheapest place to catch a misunderstanding is the proposed task breakdown. Reading it takes a minute; regenerating a finished report takes far longer and costs real tokens.
  • Treat browser control as a supervised capability: The agent is operating with your sessions. Keep the confirmation gate on for publishing and sending, and think carefully before importing cookies on a machine that holds sensitive accounts.
  • Use memory intentionally: Since the agent retains conventions and preferences, it is worth stating them clearly once — code style, tone, reporting format — rather than repeating them per task.
  • Budget for the video tier before committing: Video is the one capability with hard daily caps rather than token metering, so if that is your main use case the tier choice is made for you.
  • Verify anything consequential: Deep research output reads authoritatively regardless of whether the underlying sources were good. For anything that informs a real decision, spot-check the citations rather than trusting the synthesis.
  • Expect the surface you use to matter: Capability is not identical across desktop, web and mobile. Decide which one is your primary workspace and learn its limits rather than assuming parity.

Who is MiniMax Agent for?

  • Analysts and consultants: People whose output is reports and decks, and who benefit most from research and formatting collapsing into a single chain.
  • Developers working in real repositories: Engineers who want an agent with filesystem and terminal access, code review over local changes, and the ability to bring their own model keys.
  • Founders and small product teams: Anyone who needs a working application rather than a prototype description, with hosting, auth and payments included.
  • Operations and back-office roles: Teams with repetitive browser work, recurring reports and document pipelines, especially those already inside the Chinese office software ecosystem given the WPS and WeCom plugins.
  • Content and marketing teams: Groups producing presentations, images and video who value having one subscription and one shared quota rather than several specialist tools.
  • Cost-sensitive heavy users: The token allowances are generous relative to per-seat competitors, which is the most common reason users cite for switching to it.
  • Less suitable for: Teams needing a single polished assistant with guaranteed parity across every device, buyers who require published enterprise terms before adoption, and anyone wanting a mature, stable feature set rather than a product shipping changes weekly.

Platforms

  • Desktop application: The agent desktop client is the primary surface and the one that receives features first. The desktop client ships for macOS on both Apple silicon and Intel, plus 64-bit Windows, and the version we reviewed was v3.0.66, released 19 August 2026. Local file access, terminal use and browser control live here.
  • Web workspace: Available at the main domain with no installation, and split across two interfaces — a Switch to classic link still leads to the older interface, where the default model was MiniMax-M2.7 at the time of writing. The newer workspace is the default entry point.
  • Mobile app: The official Android app is published by MiniMax AI with more than a million downloads, listed under Productivity and last updated in mid-August 2026. Its role has recently shifted toward remote control of the desktop agent.
  • Phone as a remote control: With App Remote Control, your project files, terminal and runtime environment stay on your computer while the phone becomes a lightweight control centre for checking replies, terminal output, code changes and test results. This is a sensible division of labour rather than an attempt to run heavy work on a handset.
  • Integrations as a surface: MCP servers and marketplace plugins effectively extend the product into GitHub, Slack, Figma and office suites, so a meaningful share of usage happens through systems you already run.

Pricing & Plans

Subscriptions are sold as token plans rather than seat licences, which is unusual and generally favourable for heavy individual users. Three tiers are offered: Plus at 20 dollars a month, Max at 50 and Ultra at 120, or 200, 500 and 1,200 dollars a year, with the annual option presented as saving roughly two months against the monthly rate.

What separates the tiers is capacity rather than feature access. The site quotes roughly 1.7 billion M3 tokens a month on Plus, 5.1 billion on Max and 12.5 billion on Ultra, with three to four, four to five, and six to seven concurrent agents respectively. Every tier includes the same underlying model family access, a one-million-token context window, native multimodal understanding of image and video input, and a single shared quota across text, image and speech. That shared quota is worth internalising: generating images and speech draws down the same allowance as text, so a media-heavy month costs more than the token figure alone suggests.

Video is the exception to token metering. Hailuo 2.3 video generation is capped at three clips a day on Max and five on Ultra, and is absent from Plus, so anyone whose primary use case is video should treat this as the deciding factor rather than the token allowance.

Beyond subscriptions there is a separate credits option for pay-as-you-go usage, and a daily engagement mechanic: daily check-ins award 400 points, rising to 1,000 on days four and seven for up to 4,000 in a full week, valid for 30 days. Free access exists but is bounded and, by several user accounts, inconsistent from day to day — treat it as a trial mechanism rather than a sustainable free tier.

Alternatives

  • Manus: The closest comparison as a general autonomous agent with a strong task-completion focus and a well-regarded mobile presence. Choose between them on price and on whether you need first-party multimodal generation.
  • ChatGPT with agent mode, or Claude with MCP and a desktop client: Stronger and more consistent as general assistants with more mature ecosystems and clearer enterprise terms, but priced per seat rather than per token, which makes them costlier for genuinely heavy use.
  • Cursor, Claude Code and coding-first agents: Deeper and more refined specifically for software work in a repository. If coding is the whole job rather than one of several, a specialist will serve you better.
  • Zapier, n8n and workflow automation platforms: More predictable and far better for deterministic, high-volume pipelines between services. They do not reason about an under-specified goal, which is the entire point of an agent.
  • Perplexity and research-first tools: Better citation discipline and a tighter research experience, but they stop at the answer rather than continuing into a deck, an app or a browser session.

Limitations & Considerations

  • The vendor names its own architectural cost: In the launch announcement the company states plainly that the agent relies on multiple models rather than a unified one, which introduces some overhead in cost and efficiency. It is unusual and creditable for a vendor to publish that, and it is worth weighing: orchestration overhead is a real tax on latency and price.
  • User ratings are middling: The Android listing sits at 3.5 stars across roughly 1,550 reviews, which is noticeably below comparable assistants. The recurring theme in negative reviews is not capability but consistency — tasks not syncing between mobile, desktop and web, output that cannot be downloaded from mobile, and free credits that vary day to day.
  • Cross-surface parity is genuinely incomplete: Because the desktop client receives features first and the web has two interfaces in parallel, what you can do depends on where you are working. Choose a primary surface deliberately.
  • Branding is inconsistent: The changelog and desktop surfaces increasingly say MiniMax Code where the site and mobile app say MiniMax Agent. This is the same product on the same domain and subscription, but it makes documentation and search results harder to follow than they should be.
  • We could not verify the legal terms: We could not retrieve the product's privacy policy or terms of service during research, so questions about retention periods and training use should be settled against the official documents before any sensitive material goes through the agent. The mobile listing declares no data shared with third parties, encryption in transit and a route to request deletion, while also disclosing collection of location and personal information among six data types, but a store listing is not a substitute for the actual policy.
  • Vendor metrics are self-reported: Claims about internal adoption and headline user counts come from the vendor's own materials and are not independently audited.
  • The product changes weekly: Multiple releases shipped in the month we reviewed it. That velocity brings real improvements, but any specific limit, price or interface detail described here should be re-checked against the official pages before you commit.
  • Agent autonomy carries operational risk: A tool that drives your browser, runs terminal commands and deploys sites can act wrongly at scale, not merely answer wrongly. The confirmation gates exist for good reason.

FAQ

Q1. What is MiniMax Agent actually for?

It is for work that has a defined outcome and too many steps to do by hand: a researched report, a deployed application, a filled-in set of forms, a maintained long-running task. The vendor positions it as a general intelligent agent designed to tackle long-horizon, complex tasks, and that framing describes its sweet spot accurately.

Q2. How much does it cost?

Plus at 20 dollars a month, Max at 50 and Ultra at 120, or 200, 500 and 1,200 dollars a year. The tiers differ mainly by token allowance and concurrency rather than by which features you can reach. A separate credits option and a daily check-in reward scheme also exist.

Q3. Is there a free plan?

There is free access, but it is limited and users report it varying from day to day. Daily check-ins award 400 points, rising to 1,000 on days four and seven for up to 4,000 in a full week, valid for 30 days. Treat free usage as a way to evaluate the product rather than as a plan to rely on.

Q4. Which platforms does it support?

The desktop client ships for macOS on both Apple silicon and Intel, plus 64-bit Windows, alongside a web workspace and an Android app. The desktop client is the most capable surface, and the phone increasingly serves as a remote control for it.

Q5. Can it use my browser and my files?

Yes, on the desktop client. It operates a real browser — reading pages, filling forms, uploading files from the current task or workspace, and checking the result after each action — and it can work with local files and the terminal. Outward-facing actions such as publishing or sending ask for confirmation first.

Q6. Does it remember context between tasks?

Yes. Proactive Memory retains long-term context such as communication preferences, work habits and project conventions, and applies it in later tasks. You can state your conventions once instead of restating them each session.

Q7. Can it generate video?

Yes, on the paid tiers that include it. Hailuo 2.3 video generation is capped at three clips a day on Max and five on Ultra, and is absent from Plus. Because this is a daily clip cap rather than token metering, video needs should drive your tier choice directly.

Q8. Does it connect to my existing tools?

Yes, through two routes. The vendor advertises native MCP integration covering GitHub and GitLab, Slack and Figma, and there is a built-in plugin marketplace covering financial data, company lookup, legal search, knowledge workflows and office work, with WPS and WeCom added for office use.

Q9. Is my data used for training?

We could not retrieve the product's privacy policy or terms of service during research, so questions about retention periods and training use should be settled against the official documents. What we can report is narrower: the Play listing declares no data shared with third parties, encryption in transit and a route to request deletion; the Chrome cookie import used for browser sessions does not include browsing history, cache, or saved passwords; and in the feedback flow, log upload can be turned off if privacy is a concern.

Q10. How does it compare with running a coding agent directly?

If software development in a repository is your entire workload, a coding-first tool will likely feel sharper. This product's argument is breadth at a token price: the same subscription that reviews your code also produces the deck, the research and the video. Whether that consolidation is worth a small loss of depth depends on how varied your week actually is.

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