Does Goose or Kiro have a free plan?

Goose is a paid tool. Kiro is available for free with a free trial. Always verify current pricing directly with the vendor.

Goose vs Kiro

Q: Can I use Goose and Kiro together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Goose and Kiro with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Goose

Block

An extensible AI agent for code generation, execution, editing, and testing with any LLM.

0.0(0)

OPEN_SOURCE

86% data quality

Kiro

Amazon Web Services

Agentic AI development from prototype to production

0.0(0)

FREEMIUM

93% data quality

Trust & Reliability

Goose

Users:10K-100K

Kiro

Users:100K-1M

Customers (per vendor):Mondelez, Hughes Network Systems, Rackspace +3

Overall Winner: Kiro

6.7/10 vs Goose at 6.0/10

Leads in:

Output Quality

Integrations

Support

AI Comparison Summary

Goose

6.0

avg score

Kiro

6.7

avg score

Kiro leads overall — particularly in Ease of Use and Integration Power.

Goose has an edge in Value for Money.

Based on 6 dimensions

How scores are calculated

Overall Winner

Kiro

6.7 / 10

Goose

Best For

Developers seeking autonomous coding assistance

Teams needing flexible, customizable AI coding agents

Users who want to integrate their preferred LLMs into development workflows

Open-source enthusiasts and contributors

Not Ideal For

Non-technical users seeking a no-code solution

Teams requiring extensive enterprise-grade support and compliance out-of-the-box

Users looking for a fully managed cloud service

Kiro

Best For

Software developers

Development teams

Cloud architects

Data scientists

Not Ideal For

Users who prefer purely visual or no-code development environments

Teams requiring immediate extensive multi-language support for agent interactions

Non-technical users without coding knowledge

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Goose is best for

🤖Automation & Agents7.0🔍Research7.0🎧Customer Support7.0

Kiro is best for

✍️Writing & Content9.0💬Chat & Conversation9.0🤖Automation & Agents9.0

Filter by your use case:

Pros & Cons

Goose

Pros

Open-source and extensible
Model-agnostic (supports any LLM)
Comprehensive code development lifecycle support (install, execute, edit, test)
Available as desktop app and CLI for flexible deployment
Supports multi-agent capabilities
Built with Rust for performance

Cons

Limited information on advanced features and integrations
Requires technical expertise for setup and customization
No explicit cloud-hosted option mentioned
Community-driven support might be less structured than commercial offerings
Steep learning curve for beginners

Kiro

Pros

Brings structure to AI coding workflows
Accelerates development velocity by up to 10x
Ensures precise context and explicit intent with specs
Automates bug fixes and feature iteration
Generates documentation and unit tests automatically
Supports multimodal inputs for design guidance
Offers granular control with agent steering and hooks
Compatible with existing VS Code environments
Provides enterprise-grade security and privacy
Lowers the barrier to entry for complex projects

Cons

Currently optimized for English language conversations
Requires local installation and terminal interaction
May have a learning curve for spec-driven development
No explicit public API for Kiro itself

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Goose

6.0

/ 10

Kiro

6.7

/ 10

Your pick

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Goose

4.0

Kiro

6.0▲ +2.0

Output Quality

Quality and accuracy of generated results

Goose

7.0

Kiro

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

Goose

10.0▲ +3.0

Kiro

7.0

Customizability

Calculated

Ability to tailor to specific needs

Goose

5.0▲ +1.0

Kiro

4.0

Support & Ecosystem

Documentation, community, and support quality

Goose

6.0

Kiro

7.0▲ +1.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Goose

4.0

Kiro

8.0▲ +4.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Goose

Task

Kiro

7.0

Code Completion

7.0

6.0

Bug Detection

8.0

7.0

Code Explanation

7.0

Refactoring

7.0

8.0

Test Generation

8.0

7.0

Multi Language Support

9.0

6.0

Context Understanding

9.0

5.0

Documentation Generation

8.0

6.0

Performance Optimization

7.0

4.0

Security Scanning

6.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Goose or Kiro?

Both are strong options. Goose has a rating of 0.0/5 (0 reviews), while Kiro has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Goose cheaper than Kiro?

Goose starts at free (open_source model). Kiro starts at free (freemium model) with a free trial. Use the Cost Calculator above for a detailed estimate.

What are the main differences between Goose and Kiro?

Goose — "An extensible AI agent for code generation, execution, editing, and testing with any LLM.". Kiro — "Agentic AI development from prototype to production". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Goose and Kiro together?

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