# Manus vs TAHO Labs (Opnbook)

Manus records 19,195,779 monthly visits with -1.7% month-over-month growth and Free Trial pricing. TAHO Labs (Opnbook) records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Manus](https://openaitools.app/tool/manus) | [TAHO Labs (Opnbook)](https://openaitools.app/tool/opnbook) |
| :--- | :--- | :--- |
| Website URL | https://manus.im | https://www.opnbook.com |
| Categories | AI Assistant, AI Agent, AI Copilot | AI Developer Tools, AI Productivity Tools, Large Language Models (LLMs), AI Models |
| Pricing Model | Free Trial | Contact for Pricing |
| 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 | 4.4 |
| 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)

## TAHO Labs (Opnbook)

TAHO Labs builds what it calls an "execution fabric" — a software layer that sits directly above the silicon (NVIDIA, AMD, Intel, Qualcomm, ASICs) and directly beneath the orchestration and serving stack (Kubernetes, SLURM, vLLM, TensorRT-LLM). Rather than reserving an entire machine for a workload that only partially fits, TAHO splits the workload into small jobs and routes each job to the resource that best matches it, so paid-for hardware runs dense instead of sitting idle. The company frames the problem as an "execution gap": peak per-chip compute has risen roughly twenty-fold in eight years while typical realized utilization in production clusters remains in the low single digits.

The practical promise is that nothing has to be ripped out or rewritten. TAHO is positioned as drop-in software that works beneath the existing orchestration and serving layers, compatible with Kubernetes, SLURM, CUDA, and ROCm, and deployable across cloud, on-premises, and edge environments — including mixed multi-cloud setups. TAHO Labs publishes headline figures of up to 10x faster execution and up to 90% lower compute cost, both attributed to packing the same hardware more fully rather than buying more of it.

TAHO is distributed through cloud marketplaces including AWS, Microsoft Azure, and Google Cloud (with additional marketplaces listed as coming soon), and the vendor also offers a work-email form to request a trial on your own stack with a real workload. Commercials are quote-based rather than published, so teams typically engage sales or request access through the marketplace listings.

**Pricing & Plans:** Quote-based / contact sales. No public price list is published; TAHO is offered through AWS, Microsoft Azure, and Google Cloud marketplaces, and visitors are invited to request a trial on their own stack via a work-email form. Claimed savings of up to 90% on compute cost are marketing figures, not a price list.

- **Execution fabric just above silicon:** A software layer that sits under your orchestrator and serving frameworks and above the hardware, so nothing above it needs to change to benefit.
- **Workload unit decomposition:** Large jobs are split into small execution units, each routed to the CPU, GPU, accelerator, or edge resource that fits it best for denser packing.
- **Heterogeneous hardware support:** Works across NVIDIA, AMD, Intel, Qualcomm, and custom ASICs, with CUDA and ROCm compatibility claimed.
- **Orchestrator-agnostic deployment:** Runs beneath Kubernetes and SLURM and alongside serving stacks such as vLLM and TensorRT-LLM.
- **Cloud, on-prem, and edge reach:** Deploy in a single environment or spread across multiple clouds, on-premises clusters, and edge locations, with listings on AWS, Azure, and Google Cloud marketplaces.

**Strengths:** Drop-in positioning: no new hardware, no migration, and no code rewrites claimed; Works with the orchestrators and frameworks teams already run (Kubernetes, SLURM, CUDA, ROCm); Targets a real, well-documented problem — chronically low production GPU utilization; Available via major cloud marketplaces, which simplifies procurement and billing

**Limitations:** No public pricing; you must engage sales or a marketplace listing to get numbers; Performance claims (up to 10x faster, up to 90% lower cost) are vendor-published and workload-dependent; Some marketplace availability is still listed as coming soon, so coverage varies by environment

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

## Frequently Asked Questions

### How do Manus and TAHO Labs (Opnbook) compare in monthly traffic?

Manus has 19,195,779 monthly visits, while TAHO Labs (Opnbook) 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%; TAHO Labs (Opnbook) 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. TAHO Labs (Opnbook): Contact for Pricing. Quote-based / contact sales. No public price list is published; TAHO is offered through AWS, Microsoft Azure, and Google Cloud marketplaces, and visitors are invited to request a trial on their own stack via a work-email form. Claimed savings of up to 90% on compute cost are marketing figures, not a price list.

## 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 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 4 | [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) |
| 5 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 10 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |

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

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