AI · alternatives · 2026
24 alternatives to shell-pilot
Shell with LLM
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. shell-pilot launched in 2024; newer entries below may have overtaken it.
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Code interpreter with API, internet, multiplayer, open LLMs
2023 · its alternatives →
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LLM-CLI▲13Cloud and local LLM AI assistant for the command line
2025 · github.com · its alternatives →
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A delightfully minimal, yet remarkably powerful AI Shell Assistant. - ibigio/shell-ai
2023 · github.com · its alternatives →
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This is my take on the common "use llms to generate shell commands" utility. Emphasis is placed on good CLI UX, simplicity, and flexibility. `llm2sh` supports multiple LLM providers and lets LLMs generate multi-command sequences to handle complex tasks. There is also limited support for commands requiring `sudo` and other basic input. I recommend using Groq llama3-70b for day-to-day use. The ultra-low latency is a game-changer - its near-instant responses helps `llm2sh` integrate seamlessly into day-to-day tasks without breaking you out of the 'zone'. For more advanced tasks, swapping to…
2024 · github.com · its alternatives →
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LLMWare▲358Dev tool to make AI apps to deploy privately or locally
2024 · llmware.ai · its alternatives →
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Hey HN, I’ve built Open Codex, a fully local, open-source alternative to OpenAI’s Codex CLI. My initial plan was to fork their project and extend it. I even started doing that. But it turned out their code has several leaky abstractions, which made it hard to override core behavior cleanly. Shortly after, OpenAI introduced breaking changes. Maintaining my customizations on top became increasingly difficult. So I rewrote the whole thing from scratch using Python. My version is designed to support local LLMs. Right now, it only works with phi-4-mini (GGUF) via…
2025 · github.com · its alternatives →
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opencode▲393Your terminal's AI agent, with any model you want
2025 · opencode.ai · its alternatives →
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LM Studio▲209Discover, download, and run local LLMs (incl. DeepSeek R1)
2025 · lmstudio.ai · its alternatives →
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I was constantly googling CLI commands so I built this small CLI tool with GPT3. You can ask for shell commands right from the CLI. You'd need to use your own API KEY for this but it's pretty simple, instructions are in the README Not perfect but not bad either.
2022 · github.com · its alternatives →
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WASM sandbox for running LLM-generated code safely. Agents get a bash-like shell and can only call tools you provide, with constraints you define. No Docker, no subprocess, no SaaS — just pip install amla-sandbox
Jan 2026 · github.com · its alternatives →
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https://github.com/elijah-potter/ofc
2025 · elijahpotter.dev · its alternatives →
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Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com · its alternatives →
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I built qqqa as an open-source project, because I was tired of bouncing between shell, ChatGPT / the browser for rather simple commands. It comes with two binaries: qq and qa. qq means "quick question" - it is read-only, perfect for the commands I always forget. qa means "quick agent" - it is qq's sibling that can run things, but only after showing its plan and getting an approval by the user. It is built entirely around the Unix philosophy of focused tools, stateless by default - pretty much the opposite of what most coding agent are focusing on. Personally I've had the best experience…
Nov 2025 · github.com · its alternatives →
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Since I mostly work within the terminal, I wanted an AI coding assistant that integrates seamlessly with it. Something I could call from SSH, integrate into scripts or just invoke quickly without leaving the shell. Most existing tools (at the time) were either closed, required various dependencies, or tied to a specific vendor. I wanted a free, open-source alternative that: - installs with a single binary (useful on bare servers) - talks to any LLM endpoint and especially self-hosted open weight model - could run headless, composable, and Unix-like SHAI stands for SHell AI! Along the way I…
2025 · github.com · its alternatives →
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Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com · its alternatives →
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AI CLI▲17ai tool sends your requests to a local LLM and executes directly returned actions in your shell. Source is single C file - vkataev/ai-cli
2025 · github.com · its alternatives →
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Bash4LLM is a single-file Bash wrapper for interacting with LLMs from the terminal. I created it because I wanted something simple that worked without installing Python, Node, or any other runtime. It uses only Bash, curl, and jq. You can send prompts, start a small chat, process files line by line, stream output, and save session metadata in JSON format. I tried to make it safe and predictable: no use of the system /tmp, no use of eval. Groq is supported by default, and other providers can be added with dedicated Bash scripts in the extras/providers/ folder. Example: echo…
Jun 2026 · github.com · its alternatives →
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llmd▲7Talk to your terminal. Let AI write the commands. BYOK
Jan 2026 · github.com · its alternatives →
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G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
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Please forgive the sign up. It means we can give away and keep track of free inference usage/no API keys needed. Happy to send sign in credentials on request if you prefer.
2025 · enginelabs.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →