Manus
General-purpose AI agent that plans and executes multi-step tasks and delivers finished files, sold on credit-based plans.
Quick facts
| Pricing | Freemium |
|---|---|
| Free tier | Limited — one-off credits for evaluation rather than a recurring allowance |
| Platforms | Web, desktop |
| Developer | Manus |
| Website | https://manus.im |
What Manus is
Manus is a general-purpose AI agent rather than a chat assistant. You describe a task, and it plans steps, browses the web, runs code, edits files and produces a deliverable — a report, a slide deck, a small app — then shows the work as it goes. The difference from a chatbot is duration: it is built for tasks that take many steps and several minutes rather than a single answer, and it can be left running while you do something else. It runs in the browser with a workspace that stores the files it creates, and it can be given access to connected tools. The limits are reliability and oversight: long chains can drift, so the output needs checking, and cost is tied to how much work the agent does rather than to a seat. Sensitive tasks need clear boundaries on what it may access.
Best for
- Multi-step research that ends in a document or deck
- Tasks that involve browsing, files and code in sequence
- Work you can hand off and check later rather than watch
Not ideal for
- Single questions a normal chat assistant answers instantly
- Tasks involving credentials you cannot scope narrowly
Pros
- Runs long task chains instead of one prompt at a time
- Produces files, not just text
- Workspace keeps the intermediate artefacts
Cons
- Long runs can drift and need verification
- Credit-based cost is hard to predict per task
- Broad tool access needs careful scoping
Pricing in detail
Manus is sold on credit-based subscriptions rather than per seat alone: plans differ by monthly credits, concurrent tasks and access to higher-effort modes, with annual billing cheaper per month. Free credits are a one-off evaluation grant rather than a monthly allowance. Because a long agent run consumes far more credits than a chat message, estimate from the number and depth of tasks rather than from headcount.