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Kilo vs Pullfrog

Learn how Kilo and Pullfrog differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai code reviewers is best for you.

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Favicon of Kilo

Kilo

Open-source VS Code extension with orchestrator, architect, code, and debug modes. Use any AI model, automatic error recovery, and context-aware assistance.
  • Stars


    19,759
  • Forks


    2,624
  • Last commit


    6 hours ago
  • Repository age


    1 year
  • License


    MIT
View Repository

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Screenshot of Kilo
Favicon of Pullfrog

Pullfrog

An open-source GitHub bot that runs AI agents to review PRs, triage issues, fix CI failures, and ship code using any LLM provider.
  • Stars


    707
  • Forks


    31
  • Last commit


    7 hours ago
  • Repository age


    10 months
  • License


    MIT
View Repository

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Screenshot of Pullfrog

Detailed Comparison

Both Kilo and Pullfrog have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, maturity, licensing and features when making your decision.

Kilo wins
Community & Popularity

Kilo significantly outpaces Pullfrog in community adoption with 19,759 stars compared to 707 stars on GitHub. This 27.9x difference suggests Kilo has a much larger and more active community. In terms of developer contributions, Kilo has 2,624 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Kilo last updated 6 hours ago and Pullfrog 7 hours ago.

Comparable
Project Maturity

Both projects started around the same time, with Kilo beginning 1 year ago and Pullfrog 10 months ago.

Comparable
Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Code Reviewers. However, they also have distinct specializations: Kilo also focuses on AI Coding Assistants, IDEs & Code Editors.