# Augment Code vs Muse

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Muse records 45,751,822 monthly visits with +228.3% growth and Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Muse](https://openaitools.app/tool/muse-ai-1) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://muse.ai |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Assistant, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 326,215 | 45,751,822 |
| MoM Growth Rate | +24.1% | +228.3% |
| Primary Market | United States | United States |
| Direct Visits | 137,070 | 27,323,603 |
| Review Score | 4.5 | 4.5 |
| Saved Count | 0 | 2 |
| Supported Platforms | Website | Website |

## Augment Code

Augment Code is an AI coding platform aimed at engineering organisations rather than individual autocomplete users. Its foundation is the Context Engine, which builds a structured understanding of an existing repository — dependencies, architecture, conventions — so that AI suggestions and generated changes fit the codebase instead of reading like generic boilerplate. The product works inside common IDEs and also in the terminal via a CLI.

The platform's recent focus is Cosmos, an agent orchestration layer for the software development lifecycle. Instead of a single assistant answering prompts, Cosmos runs connected loops: a ticket becomes a reviewed pull request, every new PR gets a first-pass code review, failed CI runs get diagnosed, Dependabot and Snyk alerts get triaged into prioritised issues, and on-call engineers inherit a completed investigation. Each loop hands its outcome to the next, and quality gates pause work for human review rather than shipping automatically.

Agents can be deployed in managed cloud sandboxes, on your own machines for code that cannot leave the building, or a mix of both. Native triggers cover GitHub, GitLab, Slack, Linear, Jira, schedules and typed webhooks, with integrations for CI systems. There is a free tier for individuals to try the assistant, while team and enterprise adoption is quote-based; the company has announced it is joining Harness to push the autonomous SDLC from idea to production.

**Pricing & Plans:** Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales.

- **Context Engine codebase understanding:** Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
- **Cosmos agent orchestration:** Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
- **Human-in-the-loop quality gates:** Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
- **Deploy anywhere:** Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
- **Expert registry and shared memory:** Choose from shipped agents, fork them, or build your own; corrections and shared knowledge improve future runs for the whole team.

**Strengths:** Deep codebase context means suggestions fit existing architecture and conventions; Loops connect across the SDLC instead of solving one isolated task; Quality gates keep humans in control of consequential changes; Flexible deployment including local and self-hosted execution for sensitive code

**Limitations:** Enterprise pricing is quote-based, which makes budgeting harder before a trial; The full value depends on wiring up integrations and triggers across your toolchain; Small teams and solo developers may find the orchestration layer heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/augment-code.md)

## 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)

## Frequently Asked Questions

### How do Augment Code and Muse compare in monthly traffic?

Augment Code has 326,215 monthly visits, while Muse has 45,751,822. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Augment Code has a month-over-month growth rate of +24.1%; Muse has +228.3%.

### How does pricing compare?

Augment Code: Freemium, Free Trial, Contact for Pricing. Freemium with a free tier for individual developers to start, plus paid team plans and enterprise/contact-for-pricing options. Enterprise deployment includes self-hosted and hybrid agent execution; exact seat and usage pricing is quoted by sales. 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.

## 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 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 5 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos. | [.md](https://openaitools.app/tool/replit.md) |
| 6 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 7 | [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) |
| 8 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation. | [.md](https://openaitools.app/tool/kiro.md) |
| 9 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows. | [.md](https://openaitools.app/tool/devin.md) |
| 10 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling. | [.md](https://openaitools.app/tool/command-code.md) |

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

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