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VerifyWise开源AI工具
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VerifyWise开源AI工具

基于 TypeScript · 开源免费,本地部署,数据完全自主可控
英文名:verifywise
⭐ 294 Stars 🍴 103 Forks 💻 TypeScript 📄 NOASSERTION 🏷 AI 7.5分
7.5AI 综合评分
installableaiai-auditingai-compliance
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,VerifyWise开源AI工具 获评「推荐使用」。这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。

📚 深度解析

VerifyWise开源AI工具 是一款基于 TypeScript 的开源工具,在 GitHub 上收获 0k+ Star,是installable、ai、ai-auditing、ai-compliance领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
VerifyWise开源AI工具 依赖 TypeScript 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 TypeScript 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 VerifyWise开源AI工具 的版本更新,及时通知重要功能变化。

📋 工具概览

VerifyWise是开源的AI工具,支持EU AI Act和ISO 42,提供AI治理和LLM评估平台,帮助企业实现AI合规和审计。

VerifyWise开源AI工具 是一款基于 TypeScript 开发的开源工具,专注于 installable、ai、ai-auditing 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 294
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
NOASSERTION
AI 综合评分
7.5 分
工具类型
AI工具
Forks
103

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

VerifyWise是开源的AI工具,支持EU AI Act和ISO 42,提供AI治理和LLM评估平台,帮助企业实现AI合规和审计。

VerifyWise开源AI工具 是一款基于 TypeScript 开发的开源工具,专注于 installable、ai、ai-auditing 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:npm 全局安装
npm install -g verifywise

# 方式二:npx 直接运行(无需安装)
npx verifywise --help

# 方式三:项目依赖安装
npm install verifywise

# 方式四:从源码运行
git clone https://github.com/verifywise-ai/verifywise
cd verifywise
npm install
npm start
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
verifywise --help

# 基本用法
verifywise [options] <input>

# Node.js 代码中使用
const verifywise = require('verifywise');

const result = await verifywise.run(options);
console.log(result);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# verifywise 配置说明
# 查看配置选项
verifywise --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 VERIFYWISE_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 49/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

Ask DeepWiki

<img width="3182" height="2570" alt="github" src="https://github.com/user-attachments/assets/6feb9d3d-19c1-42c2-a9f5-908db8694f8f" />

VerifyWise is a source available AI governance platform designed to help businesses use the power of AI safely and responsibly. Our platform ensures compliance and robust AI management without compromising on security.

We are democratizing AI best practices with a solution that can be hosted on-premises, giving you complete control over your AI governance.

Features

VerifyWise platform

  • Option to host the application on-premises or in a private cloud
  • Source available license (BSL 1.1). Dual licensing is also available for enterprises
  • Faster audits using AI-generated answers for compliance and assessment questions
  • Full access to the source code for transparency, security audits, and customization
  • Docker and Kubernetes deployment (also deployable on render.com and similar platforms)
  • User registration, authentication, and role-based access control (RBAC) support
  • Major features:
  • Support for EU AI Act, ISO 42001, NIST AI RMF and ISO 27001
  • Dashboard: executive view & operating view
  • Vendors & vendor risks
  • AI use cases and risks
  • Global tasks with timeline view
  • Complete LLM Evals and LLM Arena
  • Evidence center with folder structure
  • AI trust center for public view
  • AI literacy training registery
  • AI Advisor, AI-powered chat interface providing governance recommendations
  • AI Detection Module, which scans code repositories to identify AI-generated content.
  • Shadow AI detection and risk management
  • AI agent discovery
  • Activity history for each entity
  • Integration with MIT and IBM AI risk repository
  • Model inventory and model risks that keeps a list of models used and risks
  • Policy manager to create and manage internal company AI policies
  • Risk and control mappings for EU AI Act, ISO 42001, NIST AI RMF and ISO 27001
  • CE Marking registry
  • Dataset registry
  • Desktop notifications
  • Approval workflows & approval requests
  • Detailed reports with PDF and DOCX export
  • Event logs (audits) for enterprise organizations
  • AI incident management
  • Plugins support with more than 15+ plugins (and counting)
  • Automations (when an entity changes, do this, or send period reports, or send webhooks)
  • Google OAuth2 and Entra ID (enterprise edition) support for authentication

Installation

The VerifyWise application has two components: a frontend built with React.js and a backend built with Node.js. At present, you can use npm (for development) or Docker/Kubernetes (production) to run VerifyWise. A PostgreSQL database is required.

Installation using npm (for development)

Prerequisites:

  • npm and Docker
  • Python 3.12+ (for EvalServer)
  • A running PostgreSQL, preferably as a Docker image (eg. using docker pull postgres:latest)
  • Available ports: 5173 (frontend), 3000 (backend), 5432 (database), 6379 (Redis), 8000 (EvalServer)

Step 1: Clone, install dependencies, and set up databases

First, clone the repository to your local machine and go to verifywise directory. Then, navigate to the Clients directory and install the dependencies:

git clone https://github.com/bluewave-labs/verifywise.git
cd verifywise
cd Clients
npm install
cd ../Servers
npm install

Go to the root directory and copy the contents of .env.dev to the .env file. For security, you must set a strong and unpredictable JWT_SECRET in your .env file. This secret is used to sign and verify your JWT tokens, so it must be kept private and cryptographically secure. You can generate a 256-bit base64-encoded secret using openssl rand -base64 32.

cd ..
cp .env.dev Servers/.env

In .env file, change FRONTEND_URL and set your super admin credentials:

FRONTEND_URL=http://localhost:5173
SUPERADMIN_EMAIL=admin@verifywise.com
SUPERADMIN_PASSWORD=ChangeMe!Str0ng

Important: Change SUPERADMIN_PASSWORD to a strong password (minimum 8 characters). These credentials are used to create the initial super admin account on first setup.

Note: CORS is automatically configured to allow requests from the same host (localhost, 127.0.0.1) where the backend is running.

Run the PostgreSQL container with the following command:

docker run -d --name mypostgres -p 5432:5432 -e POSTGRES_PASSWORD={env variable password} postgres

Run redis with following command:

docker run -d --name myredis -p 6379:6379 redis

Access the PostgreSQL container and create the verifywise database:

docker exec -it mypostgres psql -U postgres
CREATE DATABASE verifywise;

Step 2: Set up EvalServer (for LLM evaluations)

EvalServer is a Python-based service that handles LLM evaluations. If you want to use the evaluation features, follow these steps:

cd EvalServer
python3.12 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Set up the environment file. You can copy the minimal .env.example file in the EvalServer directory:

cp .env.example .env

Step 3: Start the application

Navigate to the EvalServer/src directory, activate the virtual environment (if not already activated), and start the server:

cd EvalServer/src
source ../venv/bin/activate
python app.py

Navigate to the Servers directory and start the server in watch mode:

cd Servers
npm run watch

Navigate to the Clients directory and start the client in development mode:

cd Clients
npm run dev

Note: Make sure to replace {env variable password} with the actual password from your environment variables.

Note: On a fresh setup, a super admin account is created automatically using the SUPERADMIN_EMAIL and SUPERADMIN_PASSWORD environment variables. Log in with these credentials, then create an organization and invite users to get started. The login page will display a banner guiding you through this process.

Installation using Docker (production)

First, ensure you have the following installed:

  • npm
  • Docker
  • Docker Compose

Create a directory in your desired folder:

mkdir verifywise
cd verifywise

Download the required files using wget:

curl -O https://raw.githubusercontent.com/bluewave-labs/verifywise/develop/install.sh
curl -O https://raw.githubusercontent.com/bluewave-labs/verifywise/develop/.env.prod

Make sure to change the JWT_SECRET variable to your liking, set your super admin credentials (SUPERADMIN_EMAIL and SUPERADMIN_PASSWORD), and change localhost to the IP of the server. An example is shown below:

BACKEND_URL=http://64.23.242.4:3000
FRONTEND_URL=http://64.23.242.4:8080
SUPERADMIN_EMAIL=admin@verifywise.com
SUPERADMIN_PASSWORD=YourStr0ngPassword!

Note: CORS is automatically configured to allow requests from the same host where the backend is running.

Change the permissions of the install.sh script to make it executable, and then execute it.

chmod +x ./install.sh
./install.sh

Now the server is running on the IP and the port you defined in .env.prod file (8080 by default).

If the install.sh script doesn't work for some reason, try the following commands:

docker-compose --env-file .env.prod up -d backend
docker ps  # to confirm
docker-compose --env-file .env.prod up -d frontend
docker ps  # to confirm

If you want to re-run install.sh for some reason (e.g want to change a configuration in .env.prod file), first stop all Docker containers before starting a new one:

docker-compose --env-file .env.prod down
./install.sh

Note: On a fresh setup, a super admin account is created automatically using the SUPERADMIN_EMAIL and SUPERADMIN_PASSWORD environment variables. Log in with these credentials, then create an organization and invite users to get started.

Installing SSL

Here are the steps to enable SSL on your system.

  1. Make sure to point domain to VM IP
  1. Install Nginx:
sudo apt update
sudo apt install nginx -y
  1. Create a config file (/etc/nginx/sites-available/verifywise) with the following content. Change the domain name accordingly.
server {
    server_name domainname.com;

    client_max_body_size 200M;

    # Custom error page for maintenance/upgrades
    error_page 502 503 504 /upgrade.html;

    location = /upgrade.html {
        root /var/www/verifywise;
        internal;
    }

    location / {
        proxy_pass http://localhost:8080;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_cache_bypass $http_upgrade;
    }

    location /api/ {
        proxy_pass http://localhost:3000;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_cache_bypass $http_upgrade;
    }
 }
  1. Create the directory for custom error pages and copy the upgrade page:
sudo mkdir -p /var/www/verifywise
sudo curl -o /var/www/verifywise/upgrade.html https://raw.githubusercontent.com/bluewave-labs/verifywise/develop/Clients/upgrade.html
  1. Enable the config:
sudo ln -s /etc/nginx/sites-available/verifywise /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl restart nginx
  1. Install Certbot for SSL:
sudo apt install certbot python3-certbot-nginx -y
  1. Obtain SSL certificate. Change the domain name accordingly.
sudo certbot --nginx -d domainname.com
  1. Update the .env.prod to point to correct domain. Change the domain name accordingly.
BACKEND_URL=https://domainname.com/api
FRONTEND_URL=https://domainname.com

Note: CORS is automatically configured to allow requests from the same host where the backend is running.

  1. Restart the application
./install.sh

Note: The Nginx configuration includes custom error pages that display a professional "upgrading" message instead of the default "502 Bad Gateway" error when the servers are not running or during maintenance.

Screenshots

The main dashboardLLM Evals
<img width="1615" height="942" alt="image" src="https://github.com/user-attachments/assets/32dd22f8-3e9b-40d8-96e5-ba64f4c03f5e" /><img width="1600" height="923" alt="image" src="https://github.com/user-attachments/assets/dc598a33-486f-4424-988d-4cca5e9420c2" />
EU AI Act project viewAI Use case risks
<img width="1647" height="860" alt="image" src="https://github.com/user-attachments/assets/07b8f0e8-6358-4094-b17e-69cb347d622f" /><img width="1653" height="914" alt="image" src="https://github.com/user-attachments/assets/f399b206-f928-454a-a432-e7e5e343d7ce" />
AI Risk managementAI Model inventory
<img width="1637" height="864" alt="image" src="https://github.com/user-attachments/assets/45c16d83-0e3b-4a71-814e-d7bdeaa492fd" /><img width="1637" height="861" alt="image" src="https://github.com/user-attachments/assets/225e10d1-845a-4437-b90f-ce97106c3688" />
AI Model risksAI Policy manager and policy templates
<img width="1647" height="860" alt="image" src="https://github.com/user-attachments/assets/cf67a9ae-c9f6-4eff-a0c3-5fc1dbe4b994" /><img width="1633" height="861" alt="image" src="https://github.com/user-attachments/assets/2ef1bcc8-e6e6-47de-9291-2157ff1ed35c" />
AI vendors and vendor risksAI Incident management (with filter example)
<img width="1662" height="914" alt="image" src="https://github.com/user-attachments/assets/26e8d3d3-6e79-4c5a-8058-f63e49a9e239" /><img width="1727" height="900" alt="image" src="https://github.com/user-attachments/assets/4b0929f5-d7f1-4998-b8b5-acf62c4051a0" />
AI Trust CenterAutomations
<img width="1726" height="895" alt="image" src="https://github.com/user-attachments/assets/0359f312-c61c-4c01-b66b-97ec035e74c5" /><img width="1740" height="897" alt="image" src="https://github.com/user-attachments/assets/3d9c6d75-d1ff-41c3-aa81-1213c363d64a" />
Reporting
<img width="1735" height="898" alt="image" src="https://github.com/user-attachments/assets/5849beee-1639-45f5-94e8-4b5f156b455d" />

Email configuration

VerifyWise supports multiple email service providers through a provider abstraction layer, enabling administrators to choose the most suitable email service for their organization. The system includes security enhancements such as TLS enforcement, input validation and credential rotation for supported providers.

Below is a list of supported email providers. You can use this documentation to setup the email service of your choice.

  • Exchange Online (Office 365) - Microsoft's cloud email service
  • On-Premises Exchange - Self-hosted Exchange servers
  • Amazon SES - AWS Simple Email Service
  • Resend - Developer-focused email API
  • Generic SMTP - SMTP support for any provider
🎯 aiskill88 AI 点评 A 级 2026-05-29

VerifyWise是一个很好的开源AI工具,提供了AI治理和LLM评估平台,帮助企业实现AI合规和审计,但需要进一步的开发和完善。

📚 实用指南(长尾问题)
适合谁
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
部署方案
  • Docker:verifywise 提供官方镜像,docker compose up 一键启动
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
verifywise 中文教程verifywise 安装报错怎么办verifywise Docker 部署verifywise Agent 工作流verifywise 与同类工具对比verifywise 最佳实践verifywise 适合谁用

⚡ 核心功能

👥 适合谁
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal

👥 适合人群

AI 技术爱好者研究人员和学生开发者和工程师技术创业者

🎯 使用场景

  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发

⚖️ 优点与不足

✅ 优点
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。

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。

📄 License 说明

📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。

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❓ 常见问题 FAQ

通过npm安装VerifyWise:npm install verifywise
💡 AI Skill Hub 点评

AI Skill Hub 点评:VerifyWise开源AI工具 的核心功能完整,质量良好。对于AI 技术爱好者来说,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。

📚 深入学习 VerifyWise开源AI工具
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 verifywise
原始描述 开源AI工具:Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42。⭐294 · TypeScript
Topics installableaiai-auditingai-compliance
GitHub https://github.com/verifywise-ai/verifywise
License NOASSERTION
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/verifywise-ai/verifywise 🌐 官方网站  https://verifywise.ai

收录时间:2026-05-29 · 更新时间:2026-05-30 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。