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Index your codebase and search using natural language.","maintainers":[{"name":"duysolo","email":"duypt.dev@gmail.com"}],"readme":"# Codebaxing\n\n[![npm version](https://img.shields.io/npm/v/codebaxing.svg)](https://www.npmjs.com/package/codebaxing)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n[English](README.md) | **[Tiếng Việt](README.vi.md)**\n\nMCP server cho **semantic code search**. Index codebase một lần, tìm kiếm bằng ngôn ngữ tự nhiên.\n\n## Cách Hoạt Động\n\n```\nCode của bạn → Tree-sitter Parser → Symbols → Embedding Model → Vectors → ChromaDB\n                                                                             ↓\n\"tìm logic xác thực\" → Embedding → Query Vector → Similarity Search → Kết quả\n```\n\nTìm kiếm truyền thống chỉ match exact text. Codebaxing hiểu ý nghĩa:\n\n| Query | Tìm được (dù không match exact) |\n|-------|----------------------------------|\n| \"authentication\" | login(), validateCredentials(), authMiddleware() |\n| \"database connection\" | connectDB(), prismaClient, repository.query() |\n\n## Bắt Đầu Nhanh\n\n### 1. Khởi động ChromaDB\n\n```bash\ndocker run -d -p 8000:8000 --name chromadb chromadb/chroma\n```\n\n### 2. Index Codebase (CLI)\n\n```bash\nnpx codebaxing@latest index /path/to/your/project\n```\n\nTạo folder `.codebaxing/` chứa index. Chỉ cần làm một lần cho mỗi project.\n\n> **Lưu ý về tốc độ:** Embedding local khá chậm (~4 phút cho ~4,000 files). Để index nhanh hơn, dùng Gemini embedding (miễn phí) — xem phần [Cloud Embedding](#cloud-embedding-nhanh-nhất) bên dưới.\n\n### 3. Cài MCP Server cho AI Editors\n\n```bash\nnpx codebaxing install              # Claude Desktop\nnpx codebaxing install --cursor     # Cursor\nnpx codebaxing install --windsurf   # Windsurf\nnpx codebaxing install --all        # Tất cả editors\n```\n\nRestart editor. Giờ bạn có thể hỏi: *\"Tìm logic xác thực người dùng\"*\n\n## CLI Commands\n\n| Lệnh | Mô tả |\n|------|-------|\n| `npx codebaxing@latest index <path>` | Index codebase (**bắt buộc đầu tiên**) |\n| `npx codebaxing search <query>` | Tìm kiếm code |\n| `npx codebaxing stats [path]` | Xem thống kê index |\n| `npx codebaxing clean [path]` | Xóa index (reset) |\n| `npx codebaxing install [--editor]` | Cài MCP server |\n| `npx codebaxing uninstall [--editor]` | Gỡ MCP server |\n\n> **Tip:** Dùng `@latest` cho `index` để luôn lấy version mới nhất.\n\n### Search Options\n\n```bash\nnpx codebaxing search \"auth middleware\" --path ./src --limit 10\n```\n\n- `--path, -p` - Đường dẫn codebase (mặc định: thư mục hiện tại)\n- `--limit, -n` - Số kết quả (mặc định: 5)\n\n## MCP Tools (cho AI Agents)\n\nSau khi cài, AI agents có thể dùng các tools:\n\n| Tool | Mô tả |\n|------|-------|\n| `search` | Tìm kiếm code semantic |\n| `stats` | Thống kê index |\n| `languages` | Extensions hỗ trợ |\n| `remember` | Lưu project memory |\n| `recall` | Truy xuất memories |\n| `forget` | Xóa memories |\n\n> **Lưu ý:** Tool `index` đã tắt cho AI agents. Dùng CLI: `npx codebaxing@latest index <path>`\n\n## Cấu Hình\n\n### Cloud Embedding (Nhanh nhất)\n\nEmbedding local chạy trên CPU và khá chậm cho codebase lớn (~4 phút cho ~4,000 files). Cloud embedding nhanh hơn **~25x** và được khuyến khích cho project từ 1,000+ files.\n\n```bash\n# Gemini (MIỄN PHÍ - khuyên dùng, 1500 RPM free tier)\nCODEBAXING_EMBEDDING_PROVIDER=gemini GEMINI_API_KEY=... npx codebaxing@latest index /path\n\n# OpenAI (text-embedding-3-small, 384 dims)\nCODEBAXING_EMBEDDING_PROVIDER=openai OPENAI_API_KEY=sk-... npx codebaxing@latest index /path\n\n# Voyage (voyage-code-3, 1024 dims, tối ưu cho code)\nCODEBAXING_EMBEDDING_PROVIDER=voyage VOYAGE_API_KEY=va-... npx codebaxing@latest index /path\n```\n\n| Provider | Model | Tốc độ | Chi phí |\n|----------|-------|--------|---------|\n| **Gemini** | `text-embedding-004` (768 dims) | ~10,000 texts/s | Miễn phí (1500 RPM) |\n| **OpenAI** | `text-embedding-3-small` (384 dims) | ~10,000 texts/s | ~$0.02 / 1M tokens |\n| **Voyage** | `voyage-code-3` (1024 dims) | ~10,000 texts/s | ~$0.06 / 1M tokens |\n| **Local** | `all-MiniLM-L6-v2` (384 dims) | ~200 texts/s | Miễn phí (CPU) |\n\n> **Lưu ý:** Chuyển đổi giữa các provider cần re-index (`npx codebaxing@latest index <path>`) do khác dimension.\n\n### Biến Môi Trường\n\n| Biến | Mô tả | Mặc định |\n|------|-------|----------|\n| `CHROMADB_URL` | URL ChromaDB server | `http://localhost:8000` |\n| `CODEBAXING_EMBEDDING_PROVIDER` | Backend embedding: `local`, `gemini`, `openai`, `voyage` | `local` |\n| `CODEBAXING_DEVICE` | Compute device (chỉ local): `cpu`, `cuda` | `cpu` |\n| `CODEBAXING_DTYPE` | Quantization (chỉ local): `fp32`, `fp16`, `q8`, `q4` | `q8` |\n| `CODEBAXING_WORKERS` | Worker threads cho embedding (chỉ local, 0=tắt) | `2` |\n| `CODEBAXING_MAX_FILE_SIZE` | Kích thước file tối đa (MB) | `1` |\n| `CODEBAXING_MAX_CHUNKS` | Số chunks tối đa | `500000` |\n| `CODEBAXING_FILES_PER_BATCH` | Files mỗi batch (thấp = ít RAM) | `100` |\n| `CODEBAXING_PARALLEL_BATCHES` | Số batches chạy song song | `3` |\n| `CODEBAXING_METADATA_SAVE_INTERVAL` | Lưu tiến trình mỗi N batches | `10` |\n| `CODEBAXING_OPENAI_API_KEY` | OpenAI API key (hoặc dùng `OPENAI_API_KEY`) | - |\n| `CODEBAXING_VOYAGE_API_KEY` | Voyage API key (hoặc dùng `VOYAGE_API_KEY`) | - |\n| `CODEBAXING_GEMINI_API_KEY` | Gemini API key (hoặc dùng `GEMINI_API_KEY`) | - |\n| `CODEBAXING_EMBEDDING_MODEL` | Override tên model embedding | mặc định theo provider |\n| `CODEBAXING_EMBEDDING_DIMENSIONS` | Override số dimensions | mặc định theo provider |\n\n### Cấu Hình Editor Thủ Công\n\n<details>\n<summary>Claude Desktop</summary>\n\n`~/Library/Application Support/Claude/claude_desktop_config.json`\n\n```json\n{\n  \"mcpServers\": {\n    \"codebaxing\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"codebaxing\"],\n      \"env\": { \"CHROMADB_URL\": \"http://localhost:8000\" }\n    }\n  }\n}\n```\n</details>\n\n<details>\n<summary>Cursor</summary>\n\n`~/.cursor/mcp.json`\n\n```json\n{\n  \"mcpServers\": {\n    \"codebaxing\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"codebaxing\"],\n      \"env\": { \"CHROMADB_URL\": \"http://localhost:8000\" }\n    }\n  }\n}\n```\n</details>\n\n<details>\n<summary>Editors Khác</summary>\n\n**Windsurf:** `~/.codeium/windsurf/mcp_config.json`\n**Zed:** `~/.config/zed/settings.json` (dùng key `context_servers`)\n**VS Code + Continue:** `~/.continue/config.json`\n\n</details>\n\n## Ngôn Ngữ Hỗ Trợ\n\nPython, JavaScript, TypeScript, Go, Rust, Java, C/C++, C#, Ruby, PHP, Kotlin, Swift, Scala, Lua, Dart, Elixir, Haskell, OCaml, Zig, Perl, Bash, HTML, CSS, Vue, JSON, YAML, TOML, Makefile\n\n## Yêu Cầu\n\n- Node.js >= 20.0.0\n- Docker (cho ChromaDB)\n- ~500MB dung lượng đĩa (embedding model)\n\n## Chi Tiết Kỹ Thuật\n\n| Component | Công nghệ |\n|-----------|-----------|\n| Local Embedding | `all-MiniLM-L6-v2` (384 dims, ONNX, q8 quantized) |\n| Cloud Embedding | Gemini `text-embedding-004` (miễn phí), OpenAI, hoặc Voyage |\n| Vector Database | ChromaDB |\n| Code Parser | Tree-sitter (28 ngôn ngữ) |\n| MCP SDK | `@modelcontextprotocol/sdk` |\n\n**Local mode**: Model tải từ HuggingFace lần đầu, cache tại `~/.cache/codebaxing/models/`. Dùng q8 quantization (~3x nhanh hơn fp32). Không cần mạng sau lần đầu.\n\n**Cloud mode**: Gửi code chunks đến OpenAI/Voyage API. ~25x nhanh hơn local CPU. Cần API key.\n\n## License\n\nMIT\n","readmeFilename":"README.vi.md"}