# Manus vs TrustOSS

Manus records 19,195,779 monthly visits with -1.7% month-over-month growth and Free Trial pricing. TrustOSS records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Manus](https://openaitools.app/tool/manus) | [TrustOSS](https://openaitools.app/tool/trustoss) |
| :--- | :--- | :--- |
| Website URL | https://manus.im | https://trustoss.org |
| Categories | AI Assistant, AI Agent, AI Copilot | AI GitHub, AI Developer Tools, AI Agent |
| Pricing Model | Free Trial | Free |
| Monthly Visits | 19,195,779 | 0 |
| MoM Growth Rate | -1.7% | 0% |
| Primary Market | Brazil | Global |
| Direct Visits | 10,563,180 | 0 |
| Review Score | 4.6 | 4.6 |
| 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)

## TrustOSS

TrustOSS is an open-source due-diligence tool that answers a question star counts cannot: is this GitHub repository actually healthy enough to depend on? You paste an owner/repo, a GitHub URL, or a natural-language search like "rust http client", and it produces a graded report built from public GitHub data — no account required for the core checks.

The analysis goes well beyond popularity. Its health score weights activity, maintenance, community, documentation and maturity into a single 0–100 number. A separate star audit inspects the growth curve and profiles recent stargazers to surface patterns associated with bought stars, a real problem given research estimating millions of suspected fake stars on GitHub. The deep scan then probes harder signals: known vulnerabilities from OSV, actual adoption via dependent packages on deps.dev, bus factor from commit concentration, CI pass rate, PR merge rate and whether the repo is essentially docs-only.

Every report lives at a shareable URL, so teams can link evidence in a dependency review. Finalists can be compared two to four at a time with a radar chart and score table, and an embeddable SVG badge lets maintainers show their live score in a README. A cloneable npm CLI and an agent skill bring the same analysis into terminals and AI coding workflows, which makes it useful both for a one-off check and for automating dependency vetting.

**Pricing & Plans:** Free. Searching, analyzing, comparing, deep scans, star audits and README badges require no payment and no account; sign-in with GitHub is optional and only unlocks a maintainer dashboard for your own repositories.

- **Repository health score:** A 0–100 score with a letter grade, broken into five weighted dimensions — activity, maintenance, community, documentation and maturity — computed entirely from public GitHub data.
- **Fake-star audit:** Plots the star growth curve and profiles recent stargazers by account age, followers and repo count to flag bought popularity.
- **Deep scan:** Checks known vulnerabilities from OSV, real dependent packages from deps.dev, bus factor from commit concentration, CI pass rate, PR merge rate and docs-only detection, reported as OK/WARN/RISK findings with evidence.
- **Side-by-side comparison:** Pick 2–4 candidate libraries and get a radar chart plus a score table across all five dimensions, with the strongest pick highlighted.
- **CLI, badge and agent skill:** The trustoss-cli npm package brings analyze, deep-scan and star-audit to your terminal and installs a skill so AI coding agents can vet dependencies automatically; every repo also gets an embeddable SVG README badge.

**Strengths:** Free with no account required for the core analysis, comparison, deep scan and star audit features.; Reads signals that are hard to fake — commit concentration, real dependent packages, issue handling and stargazer profiles — instead of relying on star counts.; Deep scan pulls concrete evidence from OSV vulnerabilities and deps.dev adoption data rather than vague quality claims.; Shareable report URLs, radar-chart comparisons and a README badge make results easy to circulate in dependency reviews.

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

## Frequently Asked Questions

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

Manus has 19,195,779 monthly visits, while TrustOSS has 0. 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%; TrustOSS has 0%.

### 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. TrustOSS: Free. Free. Searching, analyzing, comparing, deep scans, star audits and README badges require no payment and no account; sign-in with GitHub is optional and only unlocks a maintainer dashboard for your own repositories.

## 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 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | Provides open-source personal task automation, but lacks the polished cloud sandbox environment of Manus. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |
| 8 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple models and custom agents in a self-hosted workspace, but lacks pre-built autonomous execution sandboxes. | [.md](https://openaitools.app/tool/librechat.md) |
| 9 | [Lindy](https://openaitools.app/tool/lindy) | 323,329 | -0.2% | Freemium, Contact for Pricing | Deploys autonomous business agents for operational work, but targets enterprise workflows rather than general open-ended research. | [.md](https://openaitools.app/tool/lindy.md) |
| 10 | [Hyperagent](https://openaitools.app/tool/hyperagent) | 182,523 | -51.8% | Contact for Pricing | Deploys agent fleets to build business deliverables, but requires more manual setup for complex web research. | [.md](https://openaitools.app/tool/hyperagent.md) |

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

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