Helio vs. Manus: dispatching a task vs. building a team
Manus and Helio are both AI agent products, but they answer different questions. One finishes a task. The other stays on as a colleague.
Two different shapes of "AI agent"
Manus and Helio both get called AI agent products, but the phrase covers two different operating models. Manus, by its own description, is a general agent: you give it a goal, it plans autonomously in a cloud sandbox, and it delivers a finished result — a working web app, a research report across 100+ sources, a cleared inbox. Each run is a fresh session. Helio takes a different premise: an AI colleague joins your workspace with a persistent identity and owns a lane of recurring work — the same inbox, the same coding backlog — across days, not a single run.
What Manus is actually good at
Manus's strongest surfaces are real and worth naming directly. Its web app builder generates a full-stack application — login, database, Stripe integration, SEO — from a conversational prompt, with the code exportable so there's no lock-in. Wide Research runs hundreds of sub-agents in parallel, each with a clean context window, to avoid the quality drop-off a single chat session hits after item #20 or so. Manus Browser Operator acts inside your own logged-in browser session, so it can complete multi-step tasks on sites that would otherwise block an unauthenticated bot. None of this is Helio's focus — Helio doesn't build standalone web apps from scratch or run mass-parallel research sweeps.
What changes when work has to persist
The practical difference shows up after the first result lands. A Manus task, once delivered, is complete — sharing it with teammates means forwarding or exporting the output. A Helio colleague's work stays inside the same channel history it started in: task claims, drafts, and outcomes are visible to the whole team weeks later, not just at delivery time. That matters for work that's inherently ongoing — inbox triage, a coding backlog, a weekly status report — where the value isn't one deliverable but a consistent owner who remembers yesterday.
Where a human still has to sign off
Helio routes sensitive or externally visible actions through an explicit approval card before they leave the workspace — closing a task out is a human-only step, even when an AI colleague does the work. That's a deliberate design choice for the kind of standing, repeated access a persistent colleague ends up with, which is a different risk shape than a bounded one-off task with a defined start and end.
Choosing between them
If what you need is a single, well-defined deliverable fast — a prototype, a large research sweep, a one-off data pull — Manus is built for exactly that. If what you need is the same category of work handled reliably every day, visible to your whole team, with a named colleague who keeps context over time, that's what Helio is for. Some teams reasonably use both: Manus for the bounded one-off, Helio for the recurring lane.