AI Terminal transforms CLI tools like Claude, Gemini, and Cursor into REST APIs. Operations teams deploy AI-powered web terminals for real-time automation. Connects to existing CLI workflows and enables one-click API deployment.
git clone https://github.com/aixier/AI_Terminal.gitAI Terminal is a browser-based terminal platform that integrates Claude AI and Gemini AI to help users execute commands and automate tasks without requiring advanced terminal skills. The platform features a custom lightweight terminal engine optimized for both desktop and mobile devices, with real-time WebSocket communication and smart session management. It supports Docker deployment for rapid setup and includes a REST API gateway to convert terminal commands into HTTP APIs. The interface uses Microsoft Fluent Design System and includes knowledge card generation, streaming output support, and enterprise-grade security features like JWT authentication and CORS protection.
Deploy via Docker in 30 seconds using either the public image with environment variables for Claude/Gemini API keys, or the production image for pre-configured setup. Access the web terminal at http://localhost:6000 after deployment. Configure AI assistants and begin running commands through the browser interface with real-time output.
DevOps teams automating infrastructure commands through AI assistance
Developers using Claude or Gemini for intelligent code generation and execution
Educational institutions teaching terminal skills without command-line expertise
Enterprise teams deploying AI-powered terminal access via REST APIs
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/aixier/AI_TerminalCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Transform the following CLI command into a REST API endpoint: [CLI_COMMAND]. Ensure the API supports [INPUT_DATA_FORMAT] and returns [OUTPUT_DATA_FORMAT]. Include authentication via [AUTH_METHOD].
# API Endpoint for File Processing
## Endpoint
`POST /api/process-file`
## Request Headers
```
Content-Type: application/json
Authorization: Bearer [API_KEY]
```
## Request Body
```
{
"file_path": "/path/to/file.txt",
"processing_options": {
"format": "json",
"compression": "gzip"
}
}
```
## Response
```
{
"status": "success",
"processed_data": "{\"content\": \"...\"}",
"processing_time": "0.42s"
}
```
## Notes
- Supports file sizes up to 10MB
- Rate limited to 100 requests per minute
- Requires valid API key for authenticationTake a free 3-minute scan and get personalized AI skill recommendations.
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