shell_gpt
ShellGPT is a command-line tool that integrates LLMs (OpenAI GPT-4 by default, or open-source models via Ollama) to generate shell commands, code snippets, and documentation from natural language prompts. It supports multiple shells and operating systems, with optional shell integration for keyboard shortcuts.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | TheR1D/shell_gpt |
| Owner | TheR1D |
| Primary language | Python |
| License | MIT — OSI-approved |
| Stars | 12.2k |
| Forks | 976 |
| Open issues | 113 |
| Latest release | 1.5.1 (2026-05-06) |
| Last updated | 2026-07-02 |
| Source | https://github.com/TheR1D/shell_gpt |
What shell_gpt is
Python-based CLI that accepts prompts via arguments or stdin, maintains chat session history, and provides OS/shell-aware command generation with interactive execution modes. Defaults to OpenAI API but supports local LLM backends; documented limitations with local models.
Get the shell_gpt source
Clone the repository and explore it locally.
git clone https://github.com/TheR1D/shell_gpt.gitcd shell_gpt# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Installation via `pip install shell-gpt`; requires Python environment setup and management of OpenAI API keys or local Ollama instance.
- Shell integration modifies user's .bashrc or .zshrc files; automatic installation with `sgpt --install-integration` and terminal restart required.
- Chat session history stored locally at configurable CHAT_CACHE_PATH; users must manage disk space for conversation logs.
- Default uses GPT-4; model selection must be configured per user; no built-in cost controls or rate limiting.
- Windows, macOS, Linux support confirmed; PowerShell, CMD, Bash, Zsh compatibility mentioned but actual behavior varies.
When to avoid it — and what to weigh
- Cost-sensitive environments without local LLM setup — Default OpenAI API usage incurs per-token charges; no budget limits built in. Local Ollama setup requires additional infrastructure and is noted as not optimized in ShellGPT.
- Requires high-accuracy command generation in critical systems — LLM-generated commands may contain subtle errors; interactive execution mode (`--no-interaction` disables prompts) could lead to unintended system changes if used carelessly.
- Fully offline or air-gapped environments without Ollama — Requires internet connection for OpenAI API by default; local Ollama option exists but is unsupported and unreliable per README.
- Organizations with strict API key management policies — API keys stored in user home directory (~/.config/shell_gpt/.sgptrc); no enterprise credential management integration documented.
License & commercial use
MIT License permits commercial use, modification, and distribution with attribution; no copyleft restrictions. License is clear and permissive.
MIT License permits commercial use without restriction. However, reliance on OpenAI API means commercial deployments incur API costs; no licensed models bundled. Organizations must evaluate OpenAI's terms of service separately. Local Ollama alternative is not supported by maintainers.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
API keys stored in plaintext in user home directory (~/.config/shell_gpt/.sgptrc); no encryption at rest documented. Users should treat API key files with standard file permissions. Prompts sent to OpenAI API (or local Ollama) may include sensitive data; review corporate data policies before use. LLM-generated commands can execute arbitrary shell operations if executed without review; interactive mode mitigates risk but is not enforced. No built-in audit logging of executed commands.
Alternatives to consider
GitHub Copilot CLI
Similar LLM-driven command generation with GitHub ecosystem integration; proprietary but integrated into GitHub's security model.
Warp (terminal with built-in AI)
Full terminal replacement with native AI features; higher learning curve but unified experience; proprietary.
OpenAI CLI / custom ChatGPT integration
Direct OpenAI API integration; more control but requires custom scripting; no pre-built shell command or chat session management.
Build on shell_gpt with DEV.co software developers
Review API cost implications, audit key storage practices, and test with non-critical commands before rollout. Strong for developer productivity; requires discipline to avoid unreviewed command execution.
Talk to DEV.coRelated on DEV.co
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shell_gpt FAQ
Does ShellGPT work offline?
Can I use ShellGPT on Windows?
How are chat sessions stored?
What is the cost of using ShellGPT?
Work with a software development agency
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Evaluate ShellGPT for Your Team
Review API cost implications, audit key storage practices, and test with non-critical commands before rollout. Strong for developer productivity; requires discipline to avoid unreviewed command execution.