Alternatives
Products that do what Ask does
Talk to your shell in natural language. 100% local AI.
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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
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Hi HN, I just released a very simple AI Shell / CLI tool that lets you convert natural language directly into executable shell commands. Built with python to simplify terminal workflows and help you quickly run commands without memorizing syntax. It has two main usage modes: One-shot mode: Quickly execute commands using natural language. Example: ai "find all PNG files larger than 5MB" The AI responds with the appropriate command and asks if you want to execute it. Interactive chat mode: Start a terminal chat session with the AI (ai -i) to iteratively build commands or scripts. Some…
2025 · github.com
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2022 · musings.yasyf.com
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I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com
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We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com
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I originally was just messing with pi-autoresearch. Gave it a sample task to build the most portable coding agent. First cut was 6 KB of shell. Great for one-shots, unusable interactively. I was shocked it actually worked. Started building up -- adding features — but with a self-imposed rule: no new dependencies, and sub 500 LOC. This thing had to be truly portable. Just sh, curl, awk. System primitives only. Which means I did some genuinely disgusting things in awk, including JSON parsing and the OpenAI Responses tool loop with reasoning items carried across turns. It's now ~400 lines. In…
Apr 2026 · pu.dev
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2023 · github.com
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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…
Oct 2025 · github.com
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Hi HN! I built a CLI tool called ShellTalk for macOS, Linux, and web (WebAssembly) that maps English text to the corresponding Bash commands. ShellTalk is written in Swift and available under the Apache 2.0 license on GitHub. I was inspired a few weeks ago after reading the Meta-Harness paper and seeing a tool called Hunch that did something similar using the Apple Foundation model. I often forget flag names and orders, but I wanted something that worked consistently. The 3B AFM worked surprisingly well with Hunch, but it felt slow and sometimes slight changes in what I wrote would result in…
Apr 2026 · barrasso.me
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Hi all! I don’t think CHATGPT has gone unnoticed by anyone here on Hackernews. I’ve myself played around a bit with it, but felt it was annoying to always have to log into their GUI to ask the questions. To scratch my own itch and at the same time learn more about how to write my own command line interface, I created 'askai'. 'askai' is a simple CLI integration with OpenAI’s GPT3 models. I’ve primarily used it to get quick answers to technical questions, like: > askai "How to mock user input when writing a Python pytest test?" > askai "How do I remove a conda environment?" As I've found it…
2022 · github.com
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Hi HN! I develop Monadic Chat, an open-source framework that connects language models to a Linux environment via Docker. It allows AI agents to execute code, run Jupyter notebooks, and perform web scraping in a secure, sandboxed environment. Key features: - Sandboxed environment for AI code execution - Support for multiple language models - Easy integration with existing Docker workflows I built this because I needed a reliable way to let AI agents interact with a real computing environment while maintaining security and reproducibility. Some possible use cases include: - Helping developers…
2024 · yohasebe.github.io
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
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