经 AI Skill Hub 精选评估,VT代码 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
VT代码 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
VT代码 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:cargo install(推荐) cargo install vtcode # 方式二:从源码编译 git clone https://github.com/vinhnx/VTCode cd VTCode cargo build --release # 二进制在 ./target/release/vtcode
# 查看帮助 vtcode --help # 基本运行 vtcode [options] <input> # 详细使用说明请查阅文档 # https://github.com/vinhnx/VTCode
# vtcode 配置说明 # 查看配置选项 vtcode --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export VTCODE_CONFIG="/path/to/config.yml"
<img src="./resources/logo/vt_code_adaptive.svg" alt="vtcode"/>
<a href="./docs/skills/SKILLS_GUIDE.md"><img src="https://img.shields.io/badge/Agent%20Skills-BFB38F?style=for-the-badge" alt="Skills"/></a> <a href="./docs/guides/zed-acp.md"><img src="https://img.shields.io/badge/agent%20client%20protocol-383B73?style=for-the-badge&logo=zedindustries" alt="zed"/></a> <a href="./docs/guides/mcp-integration.md"><img src="https://img.shields.io/badge/model%20context%20protocol-A63333?style=for-the-badge&logo=modelcontextprotocol" alt="MCP"/></a>
<a href="https://crates.io/crates/vtcode"><img src="https://img.shields.io/crates/v/vtcode?style=flat-square&color=171C26&label=crates.io" alt="Crates.io Version"/></a> <a href="https://github.com/vinhnx/vtcode/releases"><img src="https://img.shields.io/github/v/release/vinhnx/vtcode?style=flat-square&color=171C26&label=Release" alt="GitHub Release"/></a>
---
<strong>VT Code</strong> is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management.
<p align="center"> <img src="./resources/gif/vtcode.gif" alt="VT Code" /> </p>
---
legacy_vt100Native Installer (Recommended) - No dependencies, instant setup: The default macOS/Linux installer also attempts the recommended ripgrep + ast-grep bundle for enhanced semantic grep and programming language-level understanding (optional).
[!TIP] Official macOS/Linux release archives bundleghostty-vt/runtime libraries for richer PTY screen snapshots. VT Code still falls back to the built-inlegacy_vt100backend when those assets are unavailable in non-release or custom installs.
macOS & Linux:
```bash curl -fsSL https://raw.githubusercontent.com/vinhnx/vtcode/main/scripts/install.sh | bash
curl -fsSL https://raw.githubusercontent.com/vinhnx/vtcode/main/scripts/install.sh | bash -s -- --without-search-tools
**Windows (PowerShell):**
powershell irm https://raw.githubusercontent.com/vinhnx/vtcode/main/scripts/install.ps1 | iex
> [!NOTE]
> Windows installs are currently best-effort and may lag behind macOS/Linux release builds. The current release pipeline is still being tuned for `cross`-based Windows builds, and Windows build minutes can be costly, so Windows artifacts may not be available in every release.
**Alternative Installation Methods:**
bash
brew uninstall vtcode brew install vtcode # or: brew install vinhnx/tap/vtcode
vtcode dependencies install search-tools ```
Ghostty VT is not installed through vtcode dependencies install .... Instead, VT Code uses runtime libraries that are either:
ghostty-vt/scripts/setup-ghostty-vt-dev.sh./scripts/run.sh and ./scripts/run-debug.sh when the runtime libraries are missingSee Installation Guide, Development Setup, and Ghostty VT Packaging.
Note: If you encounter "installed from different tap" errors, uninstall the existing formula first: brew uninstall vtcode, then install from your preferred tap.
See Installation Guide and Native Installer Guide for more options and troubleshooting.
brew install gh-copilot
```bash
---
VT Code supports a rich set of configuration options, with preferences stored in vtcode.toml. Key configuration features include:
legacy_vt100 when runtime libraries are unavailableFor full configuration options, see Configuration.
For Ghostty VT runtime library packaging details, see Ghostty VT Packaging.
export OPENAI_API_KEY="sk-..."
VT Code follows the Command Line Interface Guidelines and standard UNIX principles to ensure a robust and pipe-friendly experience:
- Output Streams: Primary output (e.g., code from ask, events from exec) is sent to stdout. All logs, metadata, reasoning traces, and interaction prompts are sent to stderr. This allows you to safely pipe vtcode output to other tools.
# Only the generated code is saved to file; metadata remains on screen
vtcode ask "factorial function in rust" > factorial.rs
- Standard Arguments: Adheres to GNU/POSIX argument parsing standards using clap, supporting standard flags like --help, --version, and -- separator for positional arguments.
---
cargo install vtcode
VT Code is available as an VS Code extension.
<a href="https://marketplace.visualstudio.com/items?itemName=nguyenxuanvinh.vtcode-companion" target="_blank"> <img src="https://custom-icon-badges.demolab.com/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge&logo=vsc&logoColor=white&label=Install" alt="VS Code Extension"/> </a>
The original VT Code extension for Visual Studio Code with full semantic code understanding and AI assistance.
VT Code is also compatible with other VS Code-compatible editors:
<a href="https://open-vsx.org/extension/nguyenxuanvinh/vtcode-companion" target="_blank"> <img src="https://img.shields.io/badge/Available%20on-Open%20VSX-4CAF50?style=for-the-badge&logo=opensearch&logoColor=white" alt="Open VSX Registry"/> </a>
Compatible with Cursor, Windsurf, and other VS Code-compatible editors through the Open VSX registry.
For installation instructions and download links for other IDEs, visit our IDE Downloads page. For troubleshooting, see the IDE Integration Troubleshooting Guide.
---
高质量的开源AI工作流,具有强大的代码理解能力
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:VT代码 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | VTCode |
| Topics | AIRust代码理解 |
| GitHub | https://github.com/vinhnx/VTCode |
| License | MIT |
| 语言 | Rust |
收录时间:2026-05-31 · 更新时间:2026-05-31 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端