# Augment Code vs Kypso

Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Kypso records 71 monthly visits with -97.1% growth and Freemium pricing.

| Metric | [Augment Code](https://openaitools.app/tool/augment-code) | [Kypso](https://openaitools.app/tool/kypso) |
| :--- | :--- | :--- |
| Website URL | https://www.augmentcode.com | https://kypso.io |
| Categories | AI Agent, AI Code Assistant, AI Code Generator, AI Developer Tools | AI Agent, AI Workflow, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium |
| Monthly Visits | 326,215 | 71 |
| MoM Growth Rate | +24.1% | -97.1% |
| Primary Market | United States | Global |
| Direct Visits | 137,070 | 28 |
| Review Score | 4.5 | 4.2 |
| 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)

## Kypso

Kypso targets engineering leaders who spend too much of their week on coordination work rather than engineering. Its core idea is a library of prebuilt AI 'champions' — each one owning a recurring responsibility such as code review triage, scrum ceremony scheduling, incident response, release notes or surfacing unresolved support threads. You connect your existing tools and the champions take over the routine parts.

The platform is deliberately no-code. Rather than assembling automations from scratch, you start from a champion that already understands the job and then adjust it to match how your team actually operates. Kypso highlights flexible building blocks, seamless integration with existing workflows and the ability to extend champions as the organization grows. A Tech Debt Manager is listed as coming soon.

Pricing follows a freemium model: a free tier for a single seat with one champion and a modest monthly run allowance, a Team plan billed per contributor with more seats, unlimited champions and a much larger run allowance, and an Enterprise tier with professional services, SSO, 24/7 support and a dedicated customer success manager. The company notes that Incredibuild has acquired Kypso while the product continues to be offered.

**Pricing & Plans:** Freemium with three published tiers: Free at $0 per month for one seat, one champion and 50 champion runs per month; Team at $20 per contributor per month with 20 seats, unlimited champions and 1,000 runs per month; and Enterprise with custom pricing, professional services, SSO, 24/7 support and a dedicated CSM.

- **Prebuilt AI champions:** Ready-made agents such as Code Reviewer, Scrum Master, Support Hero, Incident Leader and Release Manager cover the responsibilities engineering teams repeat most.
- **No-code customization:** Adapt champions to your own processes with flexible building blocks instead of writing automation code from scratch.
- **Native tool integrations:** Connect the everyday tools your team already runs and let champions read and act inside them.
- **Enterprise security posture:** Kypso states it does not store raw data from your connected tools and works through permissions granted by the original apps.
- **Room to grow:** Beyond prebuilt champions you can design new AI-powered champions tailored to your specific needs as your team scales.

**Strengths:** Prebuilt champions shorten the path from setup to useful automation; No-code customization lets engineering leaders adapt processes without a developer project; Covers a broad slice of engineering operations from code review to incidents and releases; Free tier makes it realistic to test the concept on a small team first

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

## Frequently Asked Questions

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

Augment Code has 326,215 monthly visits, while Kypso has 71. 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%; Kypso has -97.1%.

### 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. Kypso: Freemium. Freemium with three published tiers: Free at $0 per month for one seat, one champion and 50 champion runs per month; Team at $20 per contributor per month with 20 seats, unlimited champions and 1,000 runs per month; and Enterprise with custom pricing, professional services, SSO, 24/7 support and a dedicated CSM.

## 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 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 4 | [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) |
| 5 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.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 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 8 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.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-kypso

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