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gabrielmaialva33/winx-code-agent

by Various

🦀 A high-performance code agent written in Rust, combining the best features of WCGW for maximum efficiency and semantic capabilities.

G

MCP

gabrielmaialva33/winx-code-agent

Added 1 June 2026

#autonomous #code-agent #computer #control #execution #llm-agent #llm-code #mcp

Overview

A high-performance code agent written in Rust that combines features from WCGW to deliver efficient code transformations with semantic understanding. It prioritizes speed and semantic capabilities, making it suitable for automated code analysis and generation tasks.

Best for

Best for
Developers who need a fast, low-level code agent for automated code transformations and analysis.

Use cases

  • Automating code refactoring with semantic awareness
  • Performing efficient static analysis and code search
  • Generating boilerplate or repetitive code snippets

How to use

Tools exposed

  • Initialize
  • BashCommand
  • ReadFiles
  • FileWriteOrEdit
  • MultiFileEdit
  • UndoEdit
  • ContextSave
  • ReadImage
  • CodeMap

Notes

A high-performance code agent written in Rust that combines features from WCGW to deliver efficient code transformations with semantic understanding. It prioritizes speed and semantic capabilities, making it suitable for automated code analysis and generation tasks.

28 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Use cases

  • Automating code refactoring with semantic awareness
  • Performing efficient static analysis and code search
  • Generating boilerplate or repetitive code snippets

Pros

  • High performance due to Rust implementation
  • Semantic capabilities for context-aware code operations
  • Minimal overhead for integration into development pipelines

Cons

  • Small community with only 28 GitHub stars, indicating limited adoption
  • Potential lack of extensive documentation or community support
  • Requires familiarity with Rust for any custom extensions

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • High performance due to Rust implementation
  • Semantic capabilities for context-aware code operations
  • Minimal overhead for integration into development pipelines

Cons

  • Small community with only 28 GitHub stars, indicating limited adoption
  • Potential lack of extensive documentation or community support
  • Requires familiarity with Rust for any custom extensions

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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