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Autonomous general-purpose AI agent from Butterfly Effect that plans, browses, codes, and executes multi-step tasks in its own virtual computer.
Autonomous general-purpose AI agent from Butterfly Effect that plans, browses, codes, and executes multi-step tasks in its own virtual computer.
Manus is a general-purpose autonomous agent built by Beijing- and Singapore-based Butterfly Effect. Positioned as a hands-on action engine rather than a chat assistant, it takes a natural-language goal — write a market-research report, book a trip, migrate a codebase, populate a spreadsheet from ten sources — and executes it end-to-end inside a sandboxed virtual computer with a real browser, shell, and code interpreter. Users watch Manus plan, click, scroll, download files, run Python, edit documents, and deliver a finished artifact instead of a wall of text. Under the hood Manus orchestrates a fleet of specialized sub-agents, plus multi-model routing between frontier LLMs, and maintains long-lived memory across sessions so it can pick a project back up days later. It launched in invitation-only preview in early 2025, hit broad availability later that year, and became one of the fastest-growing consumer AI products of 2026. The public offering includes a free tier with limited daily credits and a Plus/Pro subscription for higher usage, longer-running tasks, and priority access to more capable models. Manus is one of the most-cited examples of the shift from 'AI that answers' to 'AI that gets it done,' and it is frequently compared to OpenAI's Operator and Anthropic's computer-use products.
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$19/mo
$39/mo
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We believe in transparent reviews. Here's what Manus doesn't handle well:
In 2026 Manus expanded MCP client support to include native connectors for Notion, Linear, Google Workspace, and Slack, improved planner reliability on long-horizon coding tasks, and introduced reusable Skills that persist across users on team plans for shared workflow libraries.
Pricing and features change often. If anything on this Manus page is wrong or missing, tell us and include a link to the source. We review every correction.
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