Manus review

Manus is a proprietary, cloud-hosted AI agent delivered through web, desktop and mobile apps, plus a browser extension. It is not an open-source agent library or a self-hosted server. Manus sits above the systems a person would normally use to complete a digital task: it can operate virtual browser environments, write and run code, manipulate files, and return finished artifacts.

That makes it an execution layer for work that spans multiple steps, rather than only a chat interface that returns text. The vendor describes use cases including web and SaaS app development, native iOS and Android app builds, research, media creation, browser automation and scheduled tasks. Cloud Computer provides a cloud environment for Python scripts, persistent bots and scheduled data scrapers. Manus can connect to tools including GitHub, Notion, Linear and Slack, and supports MCP connectors. It is most relevant when a workflow benefits from an agent taking actions across these tools, not when a project needs a locally controlled runtime.

Manus is presented as an agent product across web browsers, macOS and Windows desktop apps, iOS and Android apps, and a browser extension. The homepage does not name a public API style, SDK, programming language or CLI. Before building a direct integration, confirm SDK and API support in the vendor's docs rather than assuming Manus can be called like a conventional developer platform.

The integration surfaces the vendor does name are native connections to GitHub, Notion, Linear and Slack; Model Context Protocol (MCP) connectors for custom server endpoints; and a Zapier MCP connector that extends agent actions across more than 8,000 third-party applications. Manus Studio also offers a “Work locally” mode to read and modify project files in local directories. These options can connect Manus to existing tools, but they are not a substitute for a documented API contract when an application needs reliable, versioned programmatic access.

The Free Plan costs $0 and includes 300 daily refresh credits, capped at 1,500 monthly, one concurrent task and two Scheduled Automations. The pricing page also lists a seven-day free trial. Pro plans start at $20 monthly for 4,000 credits, or $16.67 per month on annual billing. The 8,000-credit tier is $40 monthly or $33.33 annual-equivalent; the 40,000-credit tier is $200 monthly or $166.67 annual-equivalent. Pro includes 300 daily refresh credits, 20 concurrent tasks and 20 Scheduled Automations. The 40,000-credit plan adds Free Cloud Computer.

The Team Plan costs $20 per seat monthly or $16.60 per seat on annual billing. It includes 4,000 pooled credits per seat per month, 20 concurrent tasks, 20 Scheduled Automations, SSO, team usage analytics and a data-training opt-out. Annual billing is listed as 17% off. The pricing page lists no add-ons. Manus uses credits, but the vendor does not publish the credit cost of individual tasks or overage rates; confirm those before budgeting a production workload.

Manus is proprietary cloud-hosted software. Its core agent platform is not open source, and there is no option to run the Manus agent infrastructure locally. Manus Studio’s “Work locally” mode can read and modify project files in local directories, but that does not move the agent runtime onto your machine. Cloud Computer can run third-party open-source applications remotely; that is also not self-hosting Manus.

The vendor does not publish a data-export path on its homepage. Before putting important work into the platform, ask how to export files, task history, project knowledge and reusable Agent Skills. Projects that depend on Manus-specific workflows, scheduled automations or cloud execution will require replacement work if you leave. Files created locally or in standard formats may be easier to move, but confirm the export options for each workflow.

The published plan limits include concurrent tasks and Scheduled Automations: one task and two automations on Free, versus 20 of each on the listed Pro plans. The Team Plan also lists 20 concurrent tasks and 20 Scheduled Automations. The vendor does not publish rate limits on its homepage, so ask how API or connector limits, task failures and retries work before making Manus part of a critical service. Team plans list SSO and a data-training opt-out; the homepage does not make broader security or compliance commitments.

Credit consumption is another operational risk. One Reddit thread says credits disappear quickly, and another commenter says they drained too fast. Users also report that reliability drops when context gets messy or workflows run longer. Those are user reports, not measured failure rates, but they point to sensible safeguards: test representative tasks, keep human review for consequential actions, track credit use, and have a fallback for tasks that fail or exceed limits.