Chaterm
AI Skill Hub 推荐使用：Chaterm 是一款优质的Agent工作流。已获得 3.0k 颗 GitHub Star，AI 综合评分 7.5 分，在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案，这是一个值得深入了解的选择。
Chaterm 工作流的设计遵循"最小配置，最大复用"原则：核心逻辑已经封装好，用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制，在网络波动或 API 限速等情况下仍能稳定运行，适合作为生产环境的自动化基础设施。
在实际部署时，建议先在测试环境中运行 3-5 次，验证各个环节的输出结果符合预期，再部署到生产环境。AI Skill Hub 评分 7.5 分，是同类 Agent 工作流中的精选推荐。
Chaterm是开源AI工作流，提供云和基础设施管理终端，帮助您管理云和基础设施。它支持AI代理、堡垒机、Codex CLI、光标和Cyberark等功能，使用TypeScript编写。
Chaterm 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。
Chaterm是开源AI工作流，提供云和基础设施管理终端，帮助您管理云和基础设施。它支持AI代理、堡垒机、Codex CLI、光标和Cyberark等功能，使用TypeScript编写。
Chaterm 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。
- 可视化 Agent 工作流编排，无需编写复杂代码
- 支持多步骤自动化任务链，实现全流程无人值守
- 与外部 API、数据库和第三方服务无缝集成
- 内置错误处理与自动重试机制，保障稳定运行
- 提供可复用的自动化模板，快速在同类场景部署
- 自动化日常重复性工作，将精力集中于创造性任务
- 构建数据采集 → 处理 → 输出的完整自动化管线
- 实现跨平台、跨系统的数据流转和业务协同
# 方式一：npm 全局安装 npm install -g chaterm # 方式二：npx 直接运行（无需安装） npx chaterm --help # 方式三：项目依赖安装 npm install chaterm # 方式四：从源码运行 git clone https://github.com/chaterm/Chaterm cd Chaterm npm install npm start
- 访问 GitHub 仓库获取工作流文件
- 在对应平台（Dify / Flowise / Make 等）中找到「导入工作流」功能
- 上传工作流文件
- 按照提示配置必要的环境变量和 API Key
- 运行测试确认流程正常后投入使用
# 命令行使用
chaterm --help
# 基本用法
chaterm [options] <input>
# Node.js 代码中使用
const chaterm = require('chaterm');
const result = await chaterm.run(options);
console.log(result);
# chaterm 配置说明 # 查看配置选项 chaterm --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 CHATERM_CONFIG="/path/to/config.yml"
简介
<p align="center"> <a href="https://www.tbench.ai/leaderboard/terminal-bench/1.0"><img src="https://img.shields.io/badge/Terminal--Bench-Ranked_%232-00D94E?style=for-the-badge&logo=github&logoColor=white" alt="Terminal-Bench"></a> <a href="https://aws.amazon.com/cn/blogs/china/chaterm-aws-kms-envelope-encryption-for-zero-trust-security-en/"><img src="https://img.shields.io/badge/AWS-Security-FF9900?style=for-the-badge&logo=amazon-aws&logoColor=white&labelColor=232F3E" alt="AWS Security"></a> <a href="https://landscape.cncf.io/?item=provisioning--automation-configuration--chaterm"><img src="https://img.shields.io/badge/CNCF-Landscape-0086FF?style=for-the-badge&logo=kubernetes&logoColor=white" alt="CNCF Landscape"></a> </p>
<p align="center"> <a href="https://scorecard.dev/viewer/?uri=github.com/chaterm/Chaterm"><img src="https://api.scorecard.dev/projects/github.com/chaterm/Chaterm/badge" alt="OpenSSF Scorecard"></a> <a href="https://www.bestpractices.dev/projects/12617"><img src="https://www.bestpractices.dev/projects/12617/badge" alt="OpenSSF Best Practices"></a> <img src="https://img.shields.io/codecov/c/github/chaterm/Chaterm?style=flat&logo=codecov" alt="Coverage"> <img src="https://img.shields.io/badge/AI-Native-blue?style=flat" alt="AI Native"> <a href="https://x.com/chaterm_ai"><img src="https://img.shields.io/twitter/follow/chaterm_ai?style=flat&logo=x&logoColor=white&label=Follow" alt="Follow on X"></a> <a href="https://deepwiki.com/chaterm/Chaterm"><img src="https://deepwiki.com/badge.svg" alt="DeepWiki"></a> </p>
<p align="center"> <a href="https://chaterm.ai/download/"><img src="https://img.shields.io/badge/macOS-000000?style=for-the-badge&logo=apple&logoColor=white" alt="macOS"></a> <a href="https://chaterm.ai/download/"><img src="https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white" alt="Windows"></a> <a href="https://chaterm.ai/download/"><img src="https://img.shields.io/badge/Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black" alt="Linux"></a> <a href="https://apps.apple.com/us/app/chaterm/id6754307456"><img src="https://img.shields.io/badge/iOS-000000?style=for-the-badge&logo=apple&logoColor=white" alt="iOS"></a> <a href="https://play.google.com/store/apps/details?id=com.intsig.chaterm.global"><img src="https://img.shields.io/badge/Android-3DDC84?style=for-the-badge&logo=android&logoColor=white" alt="Android"></a> <a href="https://aws.amazon.com/marketplace/"><img src="https://img.shields.io/badge/AWS-Marketplace-FF9900?style=for-the-badge&logo=amazon-aws&logoColor=white&labelColor=232F3E" alt="AWS Marketplace"></a> <p align="center"> </p>
Introduction
Chaterm is an AI native terminal built for infrastructure and cloud resource management. It enables engineers to use natural language to perform complex tasks such as deploying services, troubleshooting, and resolving problems.
With its built-in expert-level knowledge base and powerful proxy reasoning capabilities, Chatem understands your business topology and operational goals. No need to memorize complex commands, syntax, or parameters. simply describe your task objectives in natural language, and Chatem can autonomously plan and execute complex operations across multiple hosts or clusters, including key processes such as code building, service deployment, fault diagnosis, and automatic rollback.
Powered by long-term memory and team knowledge bases, Chaterm learns team knowledge and user habits. Its goal is to be your intelligent DevOps co-pilot, allowing engineers to complete daily tasks more efficiently through reusable agent skills. Chaterm aims to lower the cognitive barrier associated with different technology stacks, enabling every developer to quickly gain the operational experience and execution capabilities of a senior SRE.
Key Features
- 🤖 AI Agent
The Agent understands the target, autonomously plans, and performs problem analysis and root cause localization across multiple hosts, automatically closing the loop to complete complex process handling.
Every operation is auditable and traceable, and supports rapid log rollback, making AI automation more secure and reliable in production environments.
- 🧠 Smart completion
Combining user habits, local memory, and the current server context, the Agent recommends the most suitable commands, making terminal input smarter and more efficient.
Supports cross-device session synchronization and reduces mobile input costs through quick commands and voice interaction, making remote maintenance smoother.
- 🧩 Knowledge Base
Supports importing technical manuals, internal documents, scripts, and white papers to build a personal maintenance knowledge system.
Chaterm understands the current infrastructure context and accurately retrieves relevant knowledge to assist in task decision-making and execution.
- ⚡ Agent Skill
Encapsulates complex maintenance processes into reusable AI skills, achieving structured and reliable automated execution.
Help teams accumulate operational experience, enabling AI to be applied securely and stably in real production environments.
- 🔌 Plugin System
Through plugin extensions, achieve unified authentication, dynamic authorization, and secure encrypted connections for public cloud servers and Kubernetes.
Provide a more efficient resource access experience and facilitate centralized infrastructure management.
- 🗄️ Database Workspace
Connect to MySQL, PostgreSQL, SQLite, and Oracle to browse schemas, query data, inspect DDL, edit table rows, and use database-aware AI assistance.
Install Electron
npm i electron -DInstall
node scripts/patch-package-lock.js
npm installIf Electron reports a native module ABI mismatch, rebuild native dependencies for Electron instead of the local Node.js runtime:
npm run rebuild:nativeDo not use npm rebuild better-sqlite3 for Electron runtime fixes; it can compile the module against the wrong Node ABI.
Build
```bash
Development Guide
Chaterm是一个有潜力的开源AI工作流，提供了丰富的功能和易于使用的界面，但仍需要进一步的开发和测试。
- 可视化 Agent 工作流编排，无需编写复杂代码
- 支持多步骤自动化任务链，实现全流程无人值守
- 与外部 API、数据库和第三方服务无缝集成
- 内置错误处理与自动重试机制，保障稳定运行
- 提供可复用的自动化模板，快速在同类场景部署
- 自动化日常重复性工作，将精力集中于创造性任务
- 构建数据采集 → 处理 → 输出的完整自动化管线
- 实现跨平台、跨系统的数据流转和业务协同
- +大幅减少重复性人工操作
- +可视化流程，清晰直观
- +可扩展性强，支持复杂场景
- −初始配置和调试需投入一定时间
- −强依赖外部服务的稳定性
- −复杂场景需具备一定技术基础
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。
📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。
总体来看，Chaterm 是一款质量良好的Agent工作流，在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态，建议收藏备用，结合自身场景选择合适时机引入使用。
| 原始名称 | Chaterm |
| 原始描述 | 开源AI工作流：Open source AI terminal for cloud and infrastructure management, enabling you to。⭐3.0k · TypeScript |
| Topics | workflowaiagentbastioncodex-clicursorcyberark |
| GitHub | https://github.com/chaterm/Chaterm |
| License | NOASSERTION |
| 语言 | TypeScript |
收录时间：2026-05-25 · 更新时间：2026-05-25 · License：NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。