Sistava

Manus

A general-purpose autonomous agent that plans and executes multi-step tasks (research, code, browser, documents) with minimal supervision

About Manus

Manus is a general autonomous agent from Chinese startup Butterfly Effect, now Singapore-headquartered, that went viral after its March 2025 beta drew a 2.6M-person waitlist within weeks. You give it a goal in plain language and it plans, browses, codes, and produces a finished output largely on its own, now including a desktop app that lets it operate your actual computer with per-command approval gates. Independent reviews put its task success rate around 70-80% on well-defined work, dropping on complex or ambiguous requests, a genuinely different tradeoff than Sistava's approval-gated, role-based employees built for repeatable business work rather than one-off general tasks.

Platform details

Official website

How reliable is Manus, and when does it make sense?

Independent testing found roughly 70-80% full task success on well-defined work, with higher failure rates on complex or ambiguous requests and occasional capacity errors under load, a known tradeoff of general autonomous agents this early in the category. Manus makes sense when you need one flexible agent for varied, one-off tasks. Sistava makes sense when you want a role filled reliably, week after week, by an employee with memory of what happened last time.

What changes when the task repeats?

A general agent treats every request as new. That is the right design for varied one-off work, and it is why Manus handles an unpredictable range of tasks. The cost shows up on the tenth run of the same job, because nothing carries over: the tone you corrected, the account that needs different handling, the format you asked for last time. Sistava is built around the opposite assumption. An employee holds a role, keeps notes on how you like the work done, and follows skills you defined once. The first run is not necessarily better than a general agent. The tenth should be, because it is not starting from zero. So the question is less about capability than about repetition. Varied and occasional favours a general agent. Recurring and role-shaped favours an employee.

Can you use both?

They do not conflict. Plenty of people keep a general agent for exploratory or unusual work while a workforce handles the standing jobs, and the two never touch the same task. The practical dividing line is whether you would want the result to change how the next run behaves. If yes, it belongs with an employee that remembers. If it is genuinely a one-off, a general agent is the lighter tool.

Comparison