What is Manus?

Manus is an AI-powered tool used for manus is an autonomous general ai agent that plans and executes multi-step tasks end to end — browsing the web, writing and running code, analyzing data, generating slides and building deployable websites — delivering finished work rather than just chat answers. it reached state-of-the-art gaia benchmark scores at launch and is built by butterfly effect (monica.im).. Developed by Butterfly Effect (Monica.im) and launched in 2025, it is rated 4.3/5 on tasarim.ai and is available as a paid ai web & app builder solution.

M

Manus

Paid
Brand Safe - No NSFW Content
4.3
Butterfly Effect (Monica.im)
Updated: 2026-07-18T00:00:00.000Z

Manus is an autonomous general AI agent that plans and executes multi-step tasks end to end — browsing the web, writing and running code, analyzing data, generating slides and building deployable websites — delivering finished work rather than just chat answers. It reached state-of-the-art GAIA benchmark scores at launch and is built by Butterfly Effect (Monica.im).

AI Web & App Builder
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Free trial available

Key Highlights

An Agent That Finishes The Work

It does not just answer; it breaks the task into steps, browses the web, runs code and returns a finished deliverable like a report, deck or deployed site.

State-Of-The-Art On GAIA

At launch it reported scores across all three GAIA levels ahead of contemporaneous OpenAI Deep Research numbers.

Wide Research + Deployment

Offers Wide Research for large parallel investigations, native slide generation and one-click website deployment.

About

Manus is a general autonomous AI agent that goes well beyond a chatbot: given a goal, it independently breaks the work into steps, browses the live web, writes and executes code in its own cloud sandbox, analyzes files and data, and returns a finished deliverable — a report, a dataset, a slide deck or a deployed website. It launched in invite-only beta on 6 March 2025 by Butterfly Effect (the team behind Monica.im, headquartered in Singapore) and went viral for completing long, tool-heavy tasks with little supervision. At launch Manus claimed state-of-the-art results on the GAIA agent benchmark across all three difficulty levels, ahead of contemporaneous OpenAI Deep Research numbers (self-reported). In 2026 it runs on its own Manus 1.6 family of agent models (with Lite, standard and Max variants) and adds capabilities like Wide Research for large parallel investigations, native slide generation and one-click website deployment. The product is credit-based: a free plan gives daily refreshing credits plus a one-time starter pack and a single concurrent task, while paid Pro tiers unlock far larger monthly credit allowances, up to 20 concurrent and 20 scheduled tasks, and access to the more capable models; a Team plan adds shared credit pools, SSO and admin controls, and annual billing saves roughly 17%. Because every action — a search, a code run, an image or a slide — consumes credits, cost scales with task complexity and long autonomous runs can burn credits quickly, so Manus is best pointed at genuinely multi-step research, automation and build jobs rather than quick one-off questions. For founders, analysts and operators who want an agent that actually finishes deliverables, it is one of the most capable general agents of 2026.

Use Cases

1

Deep Market Research

Give it a topic and let Manus browse dozens of sources and compile them into a sourced report.

2

From Data To Deck

Upload raw data or files and hand the whole flow — from analysis to slide generation — to the agent.

3

Idea To Deployed Website

Describe a simple brief and have Manus write and test the code and deploy the site in one click.

Pros & Cons

Pros

Completes multi-step tasks end to end with little supervision
Combines web browsing, code execution and data analysis in one agent
Produces concrete outputs like slide decks and deployed websites
Free plan plus ~17% savings on annual billing

Cons

Credit-based; long autonomous runs burn credits quickly
Run time can grow on complex tasks
Overkill in cost for quick one-off questions

Features

  • Autonomous multi-step task planning and execution
  • Live web browsing with its own cloud sandbox
  • Writes and runs code, analyzes files and data
  • Native slide generation and one-click website deployment
  • Wide Research for large parallel investigations
  • Manus 1.6 / 1.6 Max agent models with Lite variant
  • Scheduled and concurrent tasks on paid plans

Benchmark Results

GAIA benchmark (at launch, self-reported)SOTA: L1 86.5% / L2 70.1% / L3 57.7% (vs OpenAI Deep Research 74.3 / 69.1 / 47.6)

Source: manus.im / Wikipedia 'Manus (AI agent)' (2026)

Agent modelsManus 1.6, 1.6 Max and 1.6 Lite; Wide Research, slide generation, website deployment

Source: manus.im/docs (2026)

Adoption & funding$100M+ revenue run rate within ~8 months; raised from Benchmark at ≈$500M valuation

Source: The Information / BBN Times (2026)

PricingFree (daily credits + starter pack); Pro ~$20–$200/mo by credit tier; Team from ~$20/seat

Source: manus.im/pricing (2026)

Pricing

Free

Free

  • Daily refreshing credits + one-time starter pack
  • 1 concurrent task, Chat Mode + Agent Mode (Lite)
  • Web browsing, code execution, basic deliverables
Starter

~$20/mo (billed annually saves ~17%)

  • Several thousand monthly credits
  • Up to 20 concurrent + 20 scheduled tasks
  • Slide generation and website deployment
Pro

~$40/mo (higher tiers up to $200/mo)

  • Large monthly credit allowance
  • Access to Manus 1.6 and 1.6 Max models
  • Wide Research for large parallel tasks
Team

From ~$20/seat/mo (2-seat minimum)

  • Shared credit pool across teammates
  • SSO, access controls and usage analytics
  • Per-seat monthly credits + daily refresh

Frequently Asked Questions

Quick Info

Pricing
Paid
Rating
4.3
CompanyButterfly Effect (Monica.im)
Launch Year2025
Free TrialYes
Last Updated2026-07-18T00:00:00.000Z

Integrations

Web app (manus.im)
Cloud code sandbox
Live web browser
File / data upload
Slide and website export/deploy

Target Audience

Founders and operators automating multi-step work
Analysts running deep research
Marketers producing decks and microsites
Developers offloading scaffolding and data tasks

Tags

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gaia-benchmark
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