# Augment Code vs Maestri

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Maestri records 57,632 monthly visits with +41.6% growth and Free Trial, Paid, Free pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Maestri](https://openaitools.app/tool/maestri) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://www.themaestri.app |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Developer Tools, AI Assistant, AI Productivity Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Free Trial, Paid, Free |
| Monthly Visits | 326,215 | 57,632 |
| MoM Growth Rate | +24.1% | +41.6% |
| Primary Market | United States | Brazil |
| Direct Visits | 137,070 | 19,387 |
| Review Score | 4.5 | 4.2 |
| Saved Count | 0 | 0 |
| 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)

## Maestri

Maestri starts from a simple frustration: when you run several AI agents at once, the project acquires a state that none of the individual agents can see. Which path each one took, what has already been ruled out, where two are about to collide — that map normally lives only in your head, and you rebuild it every time you return. Maestri keeps that map outside your head, on a canvas.

Each agent in Maestri gets a terminal node on an infinite canvas, and you give it a role. Agents connect and hand work between themselves rather than each starting cold, so the operation continues moving while you watch. Because the connections are drawn between real terminals, no API glue or middleware is involved — one agent simply types into another's terminal.

It is aimed at developers and technical operators who already run coding agents such as command-line assistants and want to coordinate several of them on one screen. The app is built for macOS 15.4+ on Apple Silicon, with builds also pointed at Windows and Linux, and can be started for free.

**Pricing & Plans:** Free to get started on macOS (Apple Silicon, macOS 15.4+); the site also links Windows and Linux builds. The listed pricing model includes free and paid tiers plus an evaluation path.

- **Infinite agent canvas:** Every agent becomes a terminal node on a boundless canvas, so you can see the whole operation at once instead of juggling separate windows.
- **Direct agent-to-agent handoff:** Connect nodes with lines and agents talk to each other through the terminal layer — one agent types into another's terminal, with no API glue or middleware.
- **Role assignment:** Give each agent a defined role so teammates work from the same structure rather than every agent starting over with no idea who does what.
- **Persistent project state:** The canvas holds the state of the project visually, so when you come back you can see where everything stands instead of reconstructing it from memory.
- **Native desktop builds:** Ships as a native macOS app with Windows and Linux builds linked from the site, rather than a browser tab.

**Strengths:** Keeps multi-agent state visible on one canvas instead of split across terminals; Direct terminal-to-terminal handoff removes the need for API glue or middleware; Native macOS app with a fast, purpose-built interface; Free entry point makes it low risk to try a multi-agent setup

**Limitations:** Targets macOS 15.4+ on Apple Silicon, which excludes older Macs; Geared toward users already comfortable with command-line coding agents; Pricing page was not reachable during review, so exact paid tiers are unclear

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

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while Maestri has 57,632. 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%; Maestri has +41.6%.

### 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. Maestri: Free Trial, Paid, Free. Free to get started on macOS (Apple Silicon, macOS 15.4+); the site also links Windows and Linux builds. The listed pricing model includes free and paid tiers plus an evaluation path.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 9 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/augment-code-vs-maestri

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