Alternatives
Products that do what jarvish does
A new AI-integrated shell. Stop Googling CLI errors. ⚡
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Hi HN community, I’m Zach, founder and CEO of Warp, and am excited to show you Warp, a fast Rust-based terminal that’s easy to use and built for teams. As of today, Warp is in public beta and any Mac user can download it. It works with bash, zsh, and fish. The terminal’s teletype-like interface has made it hard for the CLI to thrive. After 20 years of programming, I still find it hard to copy a command’s output; I always forget how to use `tar`; and I always have to relearn how to move my cursor. To fix fundamental accessibility issues, I believe we need to start innovating on the terminal,…
2022 · warp.dev
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2022 · musings.yasyf.com
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I built this terminal native runtime for Fig's autocomplete to support Windows and Linux. Would appreciate any feedback on it!
2023 · github.com
- 6SA
2023 · github.com
- 7WM
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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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
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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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I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…
May 2026 · github.com
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2017 · bitbucket.org
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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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