# ADE vs Augment Code

ADE records 5,689 monthly visits with -44.7% month-over-month growth and Free pricing. Augment Code records 326,215 monthly visits with +24.1% growth and Freemium, Free Trial, Contact for Pricing pricing.

| Metric | [ADE](https://openaitools.app/tool/ade) | [Augment Code](https://openaitools.app/tool/augment-code) |
| :--- | :--- | :--- |
| Website URL | https://ade-app.dev | https://www.augmentcode.com |
| Categories | AI Developer Tools, AI Code Assistant, AI Agent, AI Copilot | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools |
| Pricing Model | Free | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 5,689 | 326,215 |
| MoM Growth Rate | -44.7% | +24.1% |
| Primary Market | United States | United States |
| Direct Visits | 3,111 | 137,070 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## ADE

ADE — short for Agentic Development Environment — is an open-source, local-first application for people who run multiple AI coding agents at once. Instead of juggling separate terminal windows for Claude Code, Codex, OpenCode, Cursor and others, ADE collects them into one workspace where each task lives in its own isolated git worktree with its own chats, commits and changes. The result is a grid of agents working side by side that you can watch, steer and review from a single board.

Beyond orchestration, ADE ships with the tooling agents need to verify their own work: an embedded browser that can record and screenshot pages, an Electron inspector, Apple and Windows desktop environments agents can drive, and a full file editor with diffs. Automation rules can trigger an agent on a schedule or when a pull request, issue or webhook fires. Pull request review, checks and merges happen beside the chat, so you rarely need to leave the app for GitHub.

The project is free and open source. ADE runs natively on macOS and Windows, installs on Linux with a one-line script, and offers a web client plus a companion iPhone app for monitoring chats, terminals and simulators remotely. A headless mode lets you run ADE on a screenless server that signs in and joins your other machines. Chats can be imported from Claude Code, Codex, Cursor and other tools, so existing history carries over. Because it is bring-your-own-model, it works with any plan you already pay for rather than selling a separate subscription.

**Pricing & Plans:** Free and open source. Download for macOS, Windows and Linux with no license fee; you supply your own model API keys or existing agent subscriptions.

- **Parallel agents in git worktrees:** Every task runs in its own isolated worktree with dedicated chats, commits and changes, so multiple agents can work at once without stepping on each other.
- **Bring your own models and agents:** Mix Claude Code, Codex, OpenCode, Cursor, T3 and many more harnesses with 200+ model providers in a single picker.
- **Built-in verification tools:** Agents get an embedded browser, Electron inspector, Apple simulator access and a private Windows desktop so they can record screenshots and videos proving their work.
- **Automations and PR workflows:** Schedule agents or trigger them on pull requests, issues and webhooks, then review, fix and merge PRs beside the chat with stacked-PR support.
- **Runs on every screen:** Desktop apps for macOS and Windows, a Linux install script, a browser client and an iPhone app keep one project synced across every machine you own.

**Strengths:** Completely free and open source with no subscription or per-seat fee; Works with any harness and any model provider, so you keep the plans you already pay for; Isolated worktrees plus a built-in browser and desktop runners make agent output verifiable; Syncs desktop, web and iPhone, and can run headless on a server

**Limitations:** Feature-rich interface has a learning curve for developers used to a bare terminal; You must bring your own API keys or subscriptions, so model costs are separate; Frequent updates mean the changelog is worth watching before relying on a workflow

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

## 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)

## Frequently Asked Questions

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

ADE has 5,689 monthly visits, while Augment Code has 326,215. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ADE has a month-over-month growth rate of -44.7%; Augment Code has +24.1%.

### How does pricing compare?

ADE: Free. Free and open source. Download for macOS, Windows and Linux with no license fee; you supply your own model API keys or existing agent subscriptions. 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.

## 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 | 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) |
| 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 | 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) |
| 8 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Provides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup. | [.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 | Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines. | [.md](https://openaitools.app/tool/trae.md) |

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

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