# Muse vs Polymath

Muse records 45,751,822 monthly visits with +228.3% month-over-month growth and Contact for Pricing pricing. Polymath records 0 monthly visits with — growth and Free pricing.

| Metric | [Muse](https://openaitools.app/tool/muse-ai-1) | [Polymath](https://openaitools.app/tool/polymath) |
| :--- | :--- | :--- |
| Website URL | https://muse.ai | https://github.com/samim23/polymath |
| Categories | AI Agent, AI Assistant, AI Workflow, AI Productivity Tools | AI Stems Splitter, AI Midi Generator, AI Song Remixer, Open Source AI Models |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 45,751,822 | 0 |
| MoM Growth Rate | +228.3% | — |
| Primary Market | United States | Global |
| Direct Visits | 27,323,603 | 0 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 2 | 4 |
| Supported Platforms | Website | Open Source |

## Muse

Muse is a personal AI agent developed by Meta. Instead of answering questions and stopping there, Muse is designed to carry work through to completion: you hand it a goal or an ordinary task and it plans the steps, uses the tools it needs and reports back. Typical jobs include triaging and sorting email, booking reservations, shopping and saving money, keeping calendars in order, drafting fitness and health plans, and helping you stay on top of the relationships that matter to you.

Under the hood, every Muse user shares a dedicated Secure Virtual Machine with their agent — a persistent, isolated Linux computer running a full browser. This is what lets the agent do genuine work online rather than only talk about it. You can watch what it is doing and step in at any point, since the browser and machine belong to you. Storage, CPU and memory are sized for real workloads, not just demos.

You interact with Muse the way you already communicate: through the Muse app on mobile and desktop, or directly in WhatsApp, by text or voice. Control is explicit rather than implicit. Muse asks for approval before sensitive actions such as sending an email or making a purchase, and it keeps a complete audit trail of everything it has done and everything it is planning to do. It also connects to the apps you use daily — email, calendar, Instagram and more — with you deciding what it can see and what it may do, and it can even build a custom tool when a task needs one that does not exist yet. Muse is positioned for both individuals and small businesses.

**Pricing & Plans:** Muse is listed as contact-for-pricing on our directory; Meta has not published standard public plan pricing on the main product page, and access currently flows through logging in or creating an account. There is also a Muse for Business offering aimed at small businesses. Check the official site for the latest availability and any regional pricing.

- **Agentic task execution:** Give Muse a goal or an everyday chore and it plans and carries out the steps itself rather than only advising you.
- **Secure Virtual Machine:** Each user gets a persistent, isolated Linux computer in the cloud with a full browser, so the agent can do real work online while you retain control.
- **Human approval controls:** Muse requests your approval before important actions such as sending an email or making a purchase, keeping you in the loop.
- **Full audit trail:** A complete record of what the agent has already done and what it is planning next, so its behavior stays transparent.
- **Chat in app or WhatsApp:** Talk to your agent through the Muse mobile and desktop apps or directly inside WhatsApp, using text or voice mode.
- **App connections and custom tools:** Link everyday apps like email, calendar and Instagram, and let Muse build a bespoke tool when a task needs one that doesn't exist.

**Strengths:** Backed by Meta with a dedicated secure virtual machine per user; Approval prompts and a full audit trail keep agent actions accountable; Accessible from mobile, desktop and WhatsApp with text and voice; Can connect daily apps and build custom tools on demand

**Limitations:** Public plan pricing is not clearly published, making cost hard to estimate up front; Availability and feature rollout may vary by region; Agentic automation still benefits from careful review of approved actions

[Profile (Markdown)](https://openaitools.app/tool/muse-ai-1.md)

## Polymath

Polymath is built around a simple idea: any large music collection is effectively an untapped sample pack. Instead of digging through folders manually, you point the tool at your audio and let a chain of neural networks label, slice and align it. Music source separation is handled by Demucs, structure segmentation by sf_segmenter, pitch tracking and key detection by Crepe, and audio-to-MIDI by Basic Pitch, with pyrubberband and librosa covering quantization and metadata.

Once a song has been analyzed once, it lives in a local database file, so repeated searches and quantization steps are fast and do not require re-processing. You add tracks with the -a flag (single files, folders or YouTube IDs), quantize with -q against a target BPM or the track's own tempo, and search for similar material with -s. Everything is driven from the terminal or through the included Docker image.

Typical workflows split into two camps. Producers and DJs use Polymath to extract a beat from one genre, a bassline from another and horns from a third, all tempo-matched and ready to drop into a DAW — or to assemble smooth, hour-long mixes from tracks that share a feel. Machine-learning developers use it to generate large, richly labeled audio datasets for training generative music models.

**Pricing & Plans:** Polymath is free and open source under the MIT license. The repository is public on GitHub, so there is no subscription, license fee or account. Running it does require compatible software (ffmpeg and Python 3.7–3.10) and, for practical speeds, a GPU — the cost of any hardware or cloud compute is yours.

- **Library ingestion from disk or YouTube:** Feed Polymath a single track, a folder, or a list of YouTube IDs and it builds a persistent local database of analyzed songs that can be searched instantly afterwards.
- **Neural stem separation:** Demucs splits each song into beats, bass, vocals and other stems, which are then saved to a separated folder for use in your DAW.
- **Tempo quantization to a common grid:** Every track can be time-stretched and re-aligned to a shared tempo and beat grid (for example 120 BPM), so elements from different songs line up cleanly.
- **Structure, key and loudness analysis:** Polymath labels musical sections such as verse and chorus, detects key and loudness, and exposes that metadata for search and filtering.
- **Audio-to-MIDI transcription:** Pitch tracking and Basic Pitch transcription turn melodic material into MIDI files you can edit and re-arrange in any instrument track.
- **Similarity search across the library:** Given a song already in the library, Polymath finds the most similar tracks (optionally including BPM as a criterion) to support mash-ups and long-form mixes.

**Strengths:** Completely free and open source under a permissive MIT license; Chains several proven ML models (Demucs, Crepe, Basic Pitch) into one workflow; Persistent library database makes repeated search and quantization fast; Handles both local files and YouTube sources, plus batch additions

**Limitations:** Python stack is pinned to Python 3.7–3.10, so newer environments may need extra setup work; Requires ffmpeg plus a sizeable set of ML dependencies, and initial GPU support is easiest on native installs; Analysis of every new track takes time before it becomes searchable; There is no hosted web UI — everything runs through the command line or Docker

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

## Frequently Asked Questions

### How do Muse and Polymath compare in monthly traffic?

Muse has 45,751,822 monthly visits, while Polymath has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Muse has a month-over-month growth rate of +228.3%; Polymath has —.

### How does pricing compare?

Muse: Contact for Pricing. Muse is listed as contact-for-pricing on our directory; Meta has not published standard public plan pricing on the main product page, and access currently flows through logging in or creating an account. There is also a Muse for Business offering aimed at small businesses. Check the official site for the latest availability and any regional pricing. Polymath: Free. Polymath is free and open source under the MIT license. The repository is public on GitHub, so there is no subscription, license fee or account. Running it does require compatible software (ffmpeg and Python 3.7–3.10) and, for practical speeds, a GPU — the cost of any hardware or cloud compute is yours.

## 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 | Flagship AI workspace with advanced reasoning and autonomous agent capabilities for web tasks. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Advanced AI workspace featuring computer use and agentic workflows for complex tasks. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Autonomous agent platform executing multi-step goals via cloud browsers and tools. | [.md](https://openaitools.app/tool/manus.md) |
| 4 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Discover, download and generate with open-source AI models for image, video and 3D. | [.md](https://openaitools.app/tool/civitai.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 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 7 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 8 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs locally and connects to messaging apps to automate tasks. | [.md](https://openaitools.app/tool/clawdbot.md) |
| 9 | [Wajo](https://openaitools.app/tool/wajo) | 743,352 | +469.3% | Freemium | Action-oriented AI agent that completes everyday personal and business tasks via integrations. | [.md](https://openaitools.app/tool/wajo.md) |
| 10 | [Klangio](https://openaitools.app/tool/klangio) | 658,426 | -11.8% | Freemium, Free Trial | Turn audio, recordings, and YouTube into sheet music, MIDI, and tabs | [.md](https://openaitools.app/tool/klangio.md) |

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Source: https://openaitools.app/compare/muse-ai-1-vs-polymath

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