mirror of https://github.com/catlog22/Claude-Code-Workflow.git synced 2026-03-11 17:21:03 +08:00

Files

catlog22 1cd96b90e8 chore: bump version to 7.2.7

- Enhance smart-search with advanced MCP integration
- Add GEMINI_API_KEY configuration support in codexlens
- Update MCP server with new tool handlers
- Add tests for smart-search MCP usage
- Update documentation

2026-03-11 16:48:16 +08:00

.github/workflows

chore: move ccw-skill-hub to standalone repository

2026-02-24 11:57:26 +08:00

.pytest-temp

feat: implement ignore patterns and extension filters in CodexLens

2026-03-09 14:43:21 +08:00

benchmarks

feat: Add indexing group to CodexLens environment variable schema

2026-02-16 12:12:38 +08:00

dist

Refactor code structure and remove redundant changes

2026-01-24 14:47:47 +08:00

docs

feat: add experimental support for AST parsing and static graph indexing

2026-02-15 23:12:06 +08:00

examples

feat: 更新 LSP 测试，调整测试文件和增加分析等待时间

2026-01-21 10:57:36 +08:00

scripts

feat: Enhance embedding generation to track current index path and improve metadata retrieval

2026-01-02 19:18:26 +08:00

src

chore: bump version to 7.2.7

2026-03-11 16:48:16 +08:00

tests

feat: implement ignore patterns and extension filters in CodexLens

2026-03-09 14:43:21 +08:00

.coverage

feat: add Skill Hub feature for managing community skills

2026-02-22 19:02:57 +08:00

.env.example

feat: 添加全局环境变量加载功能并更新配置说明

2026-01-03 15:14:45 +08:00

ASSOCIATION_TREE_IMPLEMENTATION.md

feat: Implement association tree for LSP-based code relationship discovery

2026-01-20 22:09:04 +08:00

CHAIN_SEARCH_IMPLEMENTATION.md

feat: Implement Skills Manager View and Notifier Module

2025-12-14 11:12:48 +08:00

CHANGELOG.md

feat: Implement adaptive RRF weights and query intent detection

2025-12-26 15:08:47 +08:00

coir_benchmark_full.py

feat: Add multi-type embedding backends for cascade retrieval

2026-01-02 10:52:43 +08:00

debug_semantic_search.py

feat: 添加配置选项以调整重排序模型的权重和测试文件惩罚，增强语义搜索功能

2026-01-13 10:44:26 +08:00

debug_semantic_v2.py

feat: 添加配置选项以调整重排序模型的权重和测试文件惩罚，增强语义搜索功能

2026-01-13 10:44:26 +08:00

DEPENDENCIES.md

chore: move ccw-skill-hub to standalone repository

2026-02-24 11:57:26 +08:00

LICENSE

fix(codex-lens): resolve installation issues from frontend

2026-01-24 14:43:39 +08:00

lsp-servers.json

feat: Implement association tree for LSP-based code relationship discovery

2026-01-20 22:09:04 +08:00

misleading_test.db

Add scripts for inspecting LLM summaries and testing misleading comments

2025-12-16 20:29:28 +08:00

pyproject.toml

codex-lens: ship default LSP config and fix entrypoint

2026-03-05 14:27:16 +08:00

README.md

fix(codex-lens): resolve installation issues from frontend

2026-01-24 14:43:39 +08:00

requirements.in

chore: move ccw-skill-hub to standalone repository

2026-02-24 11:57:26 +08:00

SEMANTIC_SEARCH_USAGE.md

Add comprehensive tests for vector/semantic search functionality

2025-12-14 17:17:09 +08:00

test_chain_search.py

feat: Implement Skills Manager View and Notifier Module

2025-12-14 11:12:48 +08:00

test_simple_function.py

feat: 添加多个 LSP 测试示例，包括能力测试、调用层次和原始 LSP 测试

2026-01-21 10:43:53 +08:00

verify_watcher.py

Implement SPLADE sparse encoder and associated database migrations

2026-01-01 17:41:22 +08:00

README.md

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.toml for detailed dependency list

Development

This project uses setuptools for building and packaging.

License

MIT License

Authors

CodexLens Contributors