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Terminal

Give your AI a real computer to work on.

Hrida Terminal connects a real computing environment to Hrida.ai. The AI can write code, execute it, read the output, fix errors, and iterate, all without leaving the chat. It handles files, installs packages, runs servers, and returns results directly to you. Run it in a Docker container for isolation, or bare metal for direct access to your machine.

This is where ideas become working software. Ask a question, get a running script. Describe a website, see it rendered live. Point it at a dataset, get a finished report.

Hrida.ai with Hrida Terminal, file browser sidebar and chat


Capabilities​

Data analysis and reporting​

Upload spreadsheets, CSVs, or databases. The AI reads the data, runs analysis scripts, and generates charts or reports.

AI analyzing data from a spreadsheet

Document search and extraction​

Point the AI at a folder of PDFs, Word docs, or emails. It reads all of them and returns structured results: summaries, extracted fields, or cross-references.

Web development with live preview​

The AI builds HTML/CSS/JS projects, starts a preview server, and renders the result inside Hrida.ai. Iterate by describing changes in chat.

Software development​

Clone repos, run test suites, debug failures, refactor code, and work with Git, all through natural language.

File and system automation​

Bulk rename, sort, deduplicate, convert, compress, and organize files. Manage disk space, schedule backups, process logs.


Key Features​

🖥️ Code runRuns real commands and returns output
📁 File browserBrowse, upload, download, and edit files in the sidebar
📄 Document readingPDF, Word, Excel, PowerPoint, RTF, EPUB, email
🌐 Website previewLive preview of web projects inside Hrida.ai
🔒 Isolation optionalRun in a Docker container for sandboxing, or bare metal for full access

Get Started​

Installation → · Connect to Hrida.ai →

Model requirements

Hrida Terminal requires models with native function calling support. Frontier models (GPT-5.4, Claude Sonnet 4.6, Gemini 3.1 Pro) handle complex multi-step tasks well. Smaller models may work for simple commands but can struggle with longer workflows. Enable native function calling on your model.


Use Cases​

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