mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
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4344e79e68
- Added new benchmark result files: compare_2026-02-09_score_fast3.json and compare_2026-02-09_score_fast4.json. - Implemented KeepAliveLspBridge to maintain a persistent LSP connection across multiple queries, improving performance. - Created unit tests for staged clustering strategies in test_staged_stage3_fast_strategies.py, ensuring correct behavior of score and dir_rr strategies.
CodexLens
CodexLens is a multi-modal code analysis platform designed to provide comprehensive code understanding and analysis capabilities.
Features
- Multi-language Support: Analyze code in Python, JavaScript, TypeScript and more using Tree-sitter parsers
- Semantic Search: Find relevant code snippets using semantic understanding with fastembed and HNSWLIB
- Code Parsing: Advanced code structure parsing with tree-sitter
- Flexible Architecture: Modular design for easy extension and customization
Installation
Basic Installation
pip install codex-lens
With Semantic Search
pip install codex-lens[semantic]
With GPU Acceleration (NVIDIA CUDA)
pip install codex-lens[semantic-gpu]
With DirectML (Windows - NVIDIA/AMD/Intel)
pip install codex-lens[semantic-directml]
With All Optional Features
pip install codex-lens[full]
Requirements
- Python >= 3.10
- See
pyproject.tomlfor detailed dependency list
Development
This project uses setuptools for building and packaging.
License
MIT License
Authors
CodexLens Contributors