# Augment Code vs CodeGPT

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. CodeGPT records 170,064 monthly visits with -19% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [CodeGPT](https://openaitools.app/tool/code-gpt) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://codegpt.co |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Code Assistant, AI Code Review, AI Code Generator |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 326,215 | 170,064 |
| MoM Growth Rate | +24.1% | -19% |
| Primary Market | United States | India |
| Direct Visits | 137,070 | 92,071 |
| Review Score | 4.5 | 4.3 |
| Saved Count | 0 | 3 |
| 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)

## CodeGPT

CodeGPT is an AI coding agent distributed as extensions for Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm and others) and Visual Studio. Rather than only offering inline completions, it reads your codebase first, drafts a plan you can edit, and then writes code — showing each file it reads and each edit it proposes so you approve every change before anything mutates. The project advertises more than two million installs and references teams at large enterprises among its users.

The product's defining characteristic is its bring-your-own-key (BYOK) model. You can connect Claude, GPT, Gemini, Grok or local open models served through Ollama and LM Studio, swapping models per task while your code stays in place. If you prefer not to manage keys, CodeGPT also sells credits, and its published tiers are a free plan with a handful of daily interactions, a Professional plan for a single developer and a Teams plan billed per seat with pooled credits and an admin dashboard. Enterprise and AI-first services engagements are available on request.

Beyond chat and code generation, CodeGPT ships agent tooling such as MCP connections to external APIs, docs and databases, project rules for consistent standards, live context tracking and a terminal tool that runs commands only after your approval. Privacy-first architecture is central to the pitch: code stays under your control unless you deliberately route it to a cloud model you have configured yourself.

**Pricing & Plans:** Free tier with limited daily interactions on economy models plus a small welcome credit for premium models. Professional is about $10/month (roughly $9/month billed yearly) with unlimited economy-model use and a monthly premium allowance; Teams is about $30 per user per month ($27 yearly) with pooled credits and admin controls. Bring-your-own-key usage is unlimited, and Enterprise pricing is quoted on request.

- **Model-agnostic BYOK:** Connect Claude, GPT, Gemini, Grok or local Ollama/LM Studio models with your own API keys, or use CodeGPT credits, and switch models per task without moving your code.
- **Plan-then-build agent:** The agent reads your codebase, proposes a plan you can edit, and writes code only after you approve each step, keeping you in control of every change.
- **Full context visibility:** Watch which files are read, which options are weighed and which edits are suggested, with live tracking of context usage and no hidden limits.
- **MCP integrations and rules:** Bridge the agent to external APIs, documentation and databases through MCP, and define project rules so generated code follows your standards.
- **Terminal with approval gate:** Let the agent run commands in your terminal while waiting for explicit approval before anything is executed or mutated.

**Strengths:** Works across VS Code, JetBrains and Visual Studio from one vendor; Bring-your-own-key model removes usage metering and vendor lock-in; Approval-before-edit flow and visible context tracking build trust; Supports both cloud frontier models and local Ollama/LM Studio models

**Limitations:** Premium model access still requires credits unless you supply your own keys; Free plan is capped at a small number of daily interactions on economy models; Advanced agent workflows take time to configure well

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

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while CodeGPT has 170,064. 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%; CodeGPT has -19%.

### 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. CodeGPT: Freemium, Paid, Contact for Pricing. Free tier with limited daily interactions on economy models plus a small welcome credit for premium models. Professional is about $10/month (roughly $9/month billed yearly) with unlimited economy-model use and a monthly premium allowance; Teams is about $30 per user per month ($27 yearly) with pooled credits and admin controls. Bring-your-own-key usage is unlimited, and Enterprise pricing is quoted on request.

## 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 | An entire AI-native IDE built on VS Code, offering deeper multi-file editing than standard extensions. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | A comprehensive agentic development suite by Google for running parallel coding agents, but requires a separate environment. | [.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 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Reads entire codebases to execute complex multi-file tasks as an IDE plugin, similar to CodeGPT. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [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) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE from AWS that plans and verifies engineering work, but requires switching editors. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [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) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | Optimized for running open-weight models in the terminal, focusing on personal coding preference adaptation. | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A lightweight terminal coding agent supporting multiple model providers, tailored for command-line power users. | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 10 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | An open-source control plane for orchestrating multiple coding agents, offering more flexibility than single IDE plugins. | [.md](https://openaitools.app/tool/t3-code.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)