Manus
An autonomous general AI agent that plans and executes multi-step tasks end-to-end in its own cloud computer.
Best forIndividuals and teams who want to offload whole multi-step tasks — research, simple builds, data work — to an autonomous agent rather than prompt a chatbot turn by turn.
Our verdict
Manus is one of the most ambitious consumer agents shipped so far: hand it a goal and it genuinely plans and executes a long chain of steps in its own cloud computer, browsing, coding and producing a finished deliverable with little supervision.
The viral general-purpose agent: genuinely autonomous and impressive on well-scoped tasks, but unreliable on complex ones and priced in unpredictable credits.
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What's great
- Genuinely autonomous — plans and executes long multi-step tasks in its own cloud environment and returns finished deliverables.
- Acts on the live web via a browser operator and can write, run and deploy code.
- Free tier plus a developer API make it easy to trial and to automate.
Watch-outs
- Reliability is uneven: independent testers found it degrades on long, branching workflows and has produced fabricated “verification” output that looked real but described a state that didn’t exist.
- The credit model can get expensive and unpredictable — a single complex job can burn hundreds to over a thousand credits.
- Best suited to read-only tasks; it is risky for mission-critical work that needs judgment or write access to live systems.
- Corporate ownership has been unsettled — Meta closed a roughly $2B acquisition of Butterfly Effect on December 29, 2025, but China’s NDRC ordered the deal fully unwound on national-security grounds on April 27, 2026, and Meta had cut off Manus’s access to its internal systems by June 2026; as of July 2026 a Tencent-led consortium (with ZhenFund and Sequoia China/HSG) is negotiating a ~$2B buyback of Meta’s stake at the original valuation, with no confirmed close date — adding real uncertainty about long-term backing.
Also note: Credit consumption is hard to predict; complex jobs can be costly. · Weak on long, conditional workflows and anything needing reliable write access to live systems.
What is Manus?
Manus is an autonomous, general-purpose AI agent. You give it a goal in plain language and it plans the steps and carries them out on its own inside a cloud environment — browsing the web, writing and running code, analysing files and assembling finished deliverables like reports, slide decks or small web apps. Built by the Butterfly Effect team behind the Monica assistant, it went viral in 2025 as one of the first agents to run long, multi-step tasks with little human hand-holding, positioning itself less as a chatbot and more as a self-directed digital worker. Butterfly Effect was founded in 2022 by CEO Xiao Hong with co-founders Yichao “Peak” Ji (Chief Scientist) and Zhang Tao, and raised a $75M Series B led by Benchmark in April 2025 at a $500M valuation (alongside earlier backers Tencent, Sequoia China/HSG and ZhenFund) before relocating its headquarters from Beijing and Wuhan, China to Singapore in mid-2025.
What does Manus do?
Manus operates asynchronously: you hand it a task and it spins up its own virtual computer, breaks the goal into steps and executes them — searching the web, clicking through sites with a browser operator, running code, processing spreadsheets and documents, and producing an output you can download or deploy. It can build and publish simple websites and slide decks, compile research, and run ‘Wide Research’, which fans a job out across many parallel sub-agents to cover a topic broadly. Everything runs on a credit system: each action the agent takes — a search, a code run, a file analysis — consumes credits, and a complex job can burn hundreds to well over a thousand. There is a free tier with a small daily credit refill, paid subscription tiers that grant larger monthly credit pools, and a Team plan. A developer REST API (api.manus.ai) lets you launch and manage agent tasks, attach files and receive webhook callbacks programmatically. In independent testing it does best on straightforward, read-only work like research summaries and data collection, and is least reliable on long, branching workflows that need judgment or write access to live systems.
Key features
- Autonomous task execution: Give it a goal and it plans and completes the steps by itself in a cloud environment, returning a finished deliverable.
- Own virtual computer + browser operator: Runs its own sandboxed machine and drives a real browser to navigate sites, fill forms and gather data.
- Wide Research: Fans a job out across many parallel sub-agents to research a topic broadly and quickly.
- Real deliverables: Produces reports, slide decks, data analyses and even small deployable web apps, not just chat replies.
- Developer API: A REST API (api.manus.ai) to launch and manage agent tasks, attach files and receive webhook callbacks.
What are Manus's use cases?
- Hands-off research reports: A user asks Manus to research a market and it returns a compiled, sourced summary without step-by-step supervision.
- Build-and-ship small apps: Manus writes, runs and deploys a simple web app or slide deck from a plain-language brief.
- Wide, parallel research: Wide Research spreads a broad question across many parallel agents to cover far more ground than a single pass.
What does Manus integrate with?
- Browser operator (drives real websites)
- Slack integration and Mail (Mail Manus)
- Developer REST API (api.manus.ai) with webhooks
- Desktop and mobile apps
- Model Context Protocol (MCP) — prebuilt MCP connectors to Notion, Atlassian, Linear, Gmail, Stripe, HubSpot and more
Why use Manus?
- One of the few agents that runs long, multi-step tasks asynchronously and hands back a finished artifact.
- Its own cloud computer plus a browser operator let it act on the live web, not just talk about it.
- A no-code product for end users, with a developer API for teams that want to automate it.
- A free tier lets you try real agent runs before paying.
Pros & cons
Pros
- Genuinely autonomous — plans and executes long multi-step tasks in its own cloud environment and returns finished deliverables.
- Acts on the live web via a browser operator and can write, run and deploy code.
- Free tier plus a developer API make it easy to trial and to automate.
Cons
- Reliability is uneven: independent testers found it degrades on long, branching workflows and has produced fabricated “verification” output that looked real but described a state that didn’t exist.
- The credit model can get expensive and unpredictable — a single complex job can burn hundreds to over a thousand credits.
- Best suited to read-only tasks; it is risky for mission-critical work that needs judgment or write access to live systems.
- Corporate ownership has been unsettled — Meta closed a roughly $2B acquisition of Butterfly Effect on December 29, 2025, but China’s NDRC ordered the deal fully unwound on national-security grounds on April 27, 2026, and Meta had cut off Manus’s access to its internal systems by June 2026; as of July 2026 a Tencent-led consortium (with ZhenFund and Sequoia China/HSG) is negotiating a ~$2B buyback of Meta’s stake at the original valuation, with no confirmed close date — adding real uncertainty about long-term backing.
Limitations
- Credit consumption is hard to predict; complex jobs can be costly.
- Weak on long, conditional workflows and anything needing reliable write access to live systems.
Manus pricing
- FreeFree
- ProFrom $20 / /month
- TeamFrom $20 / /seat/month
See current pricing on manus.im ↗Compare Manus alternatives →
Manus specs
Pricing
- Pricing model
- usage-based
- Free tier
- ✓ Yes
Capabilities
- Model / LLM
- Multi-model (frontier LLMs)
- Interface
- Web
- Public API
- ✓ Yes
- Open source
- ✗ No
Deployment
- Deployment
- Cloud
Manus review
Manus is one of the most ambitious consumer agents shipped so far: hand it a goal and it genuinely plans and executes a long chain of steps in its own cloud computer, browsing, coding and producing a finished deliverable with little supervision. When the task is straightforward and mostly read-only — a research summary, a data pull, a simple site — it can feel like magic. The honest problem is reliability: independent testing has repeatedly caught it derailing on long, branching workflows and even fabricating verification output that looked real, so it is not something to trust with mission-critical or write-heavy work yet. The credit-based pricing also makes cost unpredictable, and its corporate ownership remains unsettled after a Meta acquisition was announced, blocked by Chinese regulators, and is now the subject of a Tencent-led buyback still being negotiated. Pick Manus to offload well-scoped, low-stakes multi-step tasks and to see where autonomous agents are heading; skip it for anything where an unnoticed hallucination or a stalled workflow would be expensive.
The viral general-purpose agent: genuinely autonomous and impressive on well-scoped tasks, but unreliable on complex ones and priced in unpredictable credits.
Frequently asked questions
What does Manus actually do?
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How does Manus pricing work?
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Who owns Manus — is it owned by Meta?
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