# Manus vs Ouro

Manus records 19,195,779 monthly visits with -1.7% month-over-month growth and Free Trial pricing. Ouro records 3,971 monthly visits with -15.7% growth and Freemium pricing.

| Metric | [Manus](https://openaitools.app/tool/manus) | [Ouro](https://openaitools.app/tool/ouro) |
| :--- | :--- | :--- |
| Website URL | https://manus.im | https://ouro.foundation |
| Categories | AI Assistant, AI Agent, AI Copilot | AI Agent, AI API, AI Assistant, AI Developer Tools |
| Pricing Model | Free Trial | Freemium |
| Monthly Visits | 19,195,779 | 3,971 |
| MoM Growth Rate | -1.7% | -15.7% |
| Primary Market | Brazil | United States |
| Direct Visits | 10,563,180 | 1,570 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 10 | 0 |
| Supported Platforms | Website | Website |

## Manus

Manus positions itself as an "action engine" rather than a chatbot. You describe an outcome, and the agent breaks it into steps, decides which tools to use, browses the web when it needs current information, and assembles the final deliverable in a cloud sandbox. Typical outputs include presentation decks, working websites and small games, generated images and video, and long-form research reports assembled through its Wide Research workflow.

The product ships as a mobile app (iOS and Android), a desktop app, and a browser extension, plus a web console with an API for programmatic use. A Slack integration lets teams dispatch tasks from chat, and workspace features such as team plans and SSO make it viable inside organizations rather than only for individuals. Because the agent runs asynchronously, a common pattern is to queue a task, walk away, and review the result later.

Pricing combines a free trial-style entry point with paid subscription tiers and a business plan; exact credit allowances and seats change over time, so confirm current terms on the official pricing page. The obvious trade-off is control: autonomous agents can misread intent or burn credits on the wrong approach, so clear briefs and intermediate review matter.

**Pricing & Plans:** Free trial available, with paid subscription tiers and a business plan for teams and higher usage. Credit allowances and seat details change, so check the official pricing page.

- **Autonomous task execution:** Give the agent a goal and it plans the steps, chooses tools, and works through the task in a cloud environment without constant supervision.
- **Deliverable generation:** Produces finished artifacts such as slide decks, functional websites, small games, and formatted documents rather than raw text.
- **Wide Research:** Runs broad, multi-source investigations and compiles the findings into a structured report.
- **Media creation:** Generates images, video, and music as part of a larger task or as standalone outputs.
- **Integrations and API:** Connects to Slack for task dispatch, offers mobile and desktop apps, and exposes an API for embedding agent work in your own stack.

**Strengths:** Delivers finished artifacts instead of only conversational answers; Works across web, mobile, desktop, Slack, and API surfaces; Wide Research handles broad multi-source investigations well; Team plans and SSO make it usable in organizational settings

**Limitations:** Autonomous runs consume credits and can pursue the wrong approach if the brief is vague; Complex tasks benefit from human review at checkpoints; Output quality varies by task type, especially outside common formats

[Profile (Markdown)](https://openaitools.app/tool/manus.md)

## Ouro

Ouro reframes scientific publishing around reusable assets rather than one-way papers. Researchers and autonomous agents publish structures, datasets, and models, and anyone can call those models as an API, log the run, and publish a result that links back to every input it used. The platform hosts open research teams organized around concrete problems, from rare-earth-free permanent magnets to superconductors, thermoelectrics, solid-state batteries, and 2D materials, with thousands of assets already published.

The workbench is deliberately practical. A browser sandbox lets you run a live model without a cluster or install, every run is recorded with its inputs and outputs, and results are written up in the open so the next person can pick up where you stopped. Contributions are credited through the same asset graph that drives discovery.

The commercial model is equally direct: publishing is free, private assets are supported, and Ouro only takes a cut when assets are sold. Authors price their own datasets and paid API routes, and can bill in USD or Bitcoin. Organizations add private workspaces for labs and companies that want to work internally before going public.

**Pricing & Plans:** Free to join and free to publish public work, with 1 GB storage, 100 assets, and 20 datasets. Gold is $10/month or $100/year for 100 GB storage, 10,000 assets, and 2,000 datasets. Organizations cost $5 per seat per month with a 2-seat minimum, including 50 GB of shared storage. Ouro charges a 30% fee only on sales of paid datasets, files, posts, and API calls; free assets are never charged.

- **Composable research assets:** Structures, datasets, models, and write-ups are published as first-class assets that other people and agents can build on, with the full dependency chain visible.
- **Run models as APIs:** Call a published model directly from the Ouro workbench or programmatically, log what went in and what came out, and keep the run attached to your result.
- **Open team challenges:** Join or create a team around a single scientific problem, such as finding a strong magnet without rare earths, and submit scored entries.
- **Author-set monetization:** Price your own datasets, files, posts, and API routes. Buyers pay by card or in Bitcoin, and Ouro takes a 30% cut only when something sells.
- **Agent-ready infrastructure:** MCP support, documented APIs, and asset graphs designed so AI agents can publish, query, and run work alongside human researchers.

**Strengths:** Free to publish, join teams, and run free API routes, with only a 30% cut on paid sales; Every result is logged with its inputs, so reproducibility is built into the workflow rather than bolted on; Model-as-API design means published work gets reused instead of just cited; Organizations support internal, private collaboration before public release

**Limitations:** The 30% platform fee on sales is high compared with many developer marketplaces; The open-team model skews toward computational and materials-science domains; Researchers outside that space may find fewer ready-made assets and challenges to join

[Profile (Markdown)](https://openaitools.app/tool/ouro.md)

## Frequently Asked Questions

### How do Manus and Ouro compare in monthly traffic?

Manus has 19,195,779 monthly visits, while Ouro has 3,971. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Manus has a month-over-month growth rate of -1.7%; Ouro has -15.7%.

### How does pricing compare?

Manus: Free Trial. Free trial available, with paid subscription tiers and a business plan for teams and higher usage. Credit allowances and seat details change, so check the official pricing page. Ouro: Freemium. Free to join and free to publish public work, with 1 GB storage, 100 assets, and 20 datasets. Gold is $10/month or $100/year for 100 GB storage, 10,000 assets, and 2,000 datasets. Organizations cost $5 per seat per month with a 2-seat minimum, including 50 GB of shared storage. Ouro charges a 30% fee only on sales of paid datasets, files, posts, and API calls; free assets are never charged.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides powerful reasoning agents and deep research, but lacks Manus's specialized continuous cloud workspace execution. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Features advanced computer use and interactive artifacts, but operates primarily as a chat assistant rather than a dedicated autonomous agent platform. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Executes tasks using cloud virtual Linux machines, but focuses more on personal desktop automation than complex multi-app research. | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 4 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 5 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 6 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 7 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 8 | [Runable](https://openaitools.app/tool/runable) | 1,048,370 | -1.9% | Freemium | Automates multi-step workflows and asset creation, but with fewer built-in general browser navigation tools. | [.md](https://openaitools.app/tool/runable.md) |
| 9 | [Skywork.ai](https://openaitools.app/tool/skywork-ai) | 1,021,069 | -11.8% | Freemium | Converts prompts into structured office deliverables, but acts primarily as a document generation workspace. | [.md](https://openaitools.app/tool/skywork-ai.md) |
| 10 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |

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Source: https://openaitools.app/compare/manus-vs-ouro

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
