Manus AI · Autonomous agent · 3 use cases
A general-purpose autonomous agent that plans and runs tasks in a cloud environment.
Visit Manus3 use cases
Ascendea, a UK CRM and automation company for small businesses, uses Manus as a "chief of staff" (nicknamed James). With it, the company turned scattered process knowledge into a library of standard operating procedures that later served both to train new hires and as instructions for its internal agents.
k-ID, which helps companies comply with child-safety rules in 285 markets, uses Manus Wide Research to watch more than 500 regulator websites. The task is split across hundreds of parallel subagents, each one checking a source, analyzing changes and reporting back.
To show off the Manus 2.0 video editor, the Manus team loaded 125 clips from a three-day trip, almost two hours in total, straight from an external drive. The agent transcribed and analyzed every clip, built a story that follows the trip's itinerary and handed back a timeline where everything stays editable.
Manus is a general-purpose autonomous agent: it takes a goal, plans the steps and runs them on its own in a cloud environment with a browser and files. In the cases here it takes on long research jobs that end in a finished deliverable.
In this directory, Manus appears in 3 use cases, mostly in Work & Operations and Research & Analysis. The latest one was added on Oct 16, 2026.
3 use cases
Ascendea, a UK CRM and automation company for small businesses, uses Manus as a "chief of staff" (nicknamed James). With it, the company turned scattered process knowledge into a library of standard operating procedures that later served both to train new hires and as instructions for its internal agents.
k-ID, which helps companies comply with child-safety rules in 285 markets, uses Manus Wide Research to watch more than 500 regulator websites. The task is split across hundreds of parallel subagents, each one checking a source, analyzing changes and reporting back.
To show off the Manus 2.0 video editor, the Manus team loaded 125 clips from a three-day trip, almost two hours in total, straight from an external drive. The agent transcribed and analyzed every clip, built a story that follows the trip's itinerary and handed back a timeline where everything stays editable.