Manus

Manus is a general-purpose AI agent from the team that previously built the Monica browser assistant. Unlike a chat assistant, it acts: give it a goal such as compiling a competitor comparison into a spreadsheet, and it plans the steps, browses, writes code, produces files and hands back the result.

Tasks run in a cloud-based virtual environment, so you can close the tab and come back later. You can watch the run live or replay it afterwards, seeing which pages it visited and what code it executed. That transparency makes it easier to debug than a black-box generator.

It is positioned as something that does long, well-defined work for you rather than something you chat with. The trade-off is that it is slow, burns credits quickly and results vary, so check the output before relying on it.

Key features

• Autonomous planning and execution: Breaks a goal into sub-tasks, works through them in order and tries to adjust when something fails.
• Web browsing for research: Opens pages, navigates and extracts information, which suits research that pulls from many sources.
• Code and data handling: Runs code in a sandbox to clean data, run calculations and build charts.
• Multiple deliverable types: Produces documents, spreadsheets, web pages, slides and other files you can download.
• Replay and sharing: Records every step so you can review the run later or share it with others.

How to use

1. Go to the Manus website, sign up and log in.
2. Describe the goal in the input box, spelling out scope, output format and criteria — for example, “List 10 comparable products and put price, features and user reviews into a table.”
3. Upload any reference files, then submit the task and let it run in the background.
4. Check progress along the way and add clarifications or correct its direction if needed.
5. When it finishes, download the output and verify the sources and conclusions item by item.

Best for

• Industry and competitor research: Lots of pages to read and summarise into structured material plays to its automated browsing.
• Compiling material and first-draft reports: Turns scattered information into tables or documents and saves a lot of mechanical work.
• Light data processing: Cleaning spreadsheets or making charts without writing your own scripts.
• Quick showcase pages: Given content and requirements, it can build a web page prototype you can preview.

Strengths and limitations

Strengths

• Genuinely executes tasks end to end instead of just giving advice.
• The run is transparent and replayable, which helps you judge whether the result is trustworthy.
• Runs asynchronously, so you can hand off time-consuming work.

Limitations

• Slow; a complex task can take a long time.
• Burns credits fast, and the free allowance only covers a few tries.
• Output quality varies — it may cite stale information or drift off course, so human review is essential.
• Vague goals tend to produce off-target results; you need to put effort into writing a clear brief.