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Alternatives

Products that do what I'm 15 and built Gofer, an AI that gets actual terminal work done does

Gofer is a side-project I wrote at 15 because I was sick of these so-called CLI agents. Claude Code, Codex, Gemini CLI, they're all wonderful if you're coding. But for those just wanna automate their stuff, it's a dud. Gofer solves this by being terminal-first, meant to accomplish any task a command line can. It can also watch your desktop so you can avoid waiting for downloads to finish, and can text you via. Telegram! Happy to answer any questions :D! -J

  1. 1
    Warp AI494

    AI, fully integrated with your terminal

    2023

  2. 2
    opencode395

    Your terminal's AI agent, with any model you want

    2025

  3. 3OA

    Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%. Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things 1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever 2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts) 3. The full terminal bench run was done using the fully open source version of the agent, no…

    Apr 2026 · github.com

  4. 4

    A Mac terminal productivity tool powered by OpenAI

    2024

  5. 5

    A command center for working with agents

    Feb 2026

  6. 6

    AI pair programming directly in your terminal

    Sep 2025

  7. 7
    Godmode98

    An AGI in your browser

    2023

  8. 8

    Bring the power of Grok into your terminal

    2025

  9. 9
    jebi140

    A supercharged terminal for Mac with built-in local AI

    Jun 2026 · jebi.sh

  10. 10TB

    After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…

    2025 · github.com

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    Kuulto116

    Use /ai to organize files, convert image formats, and more

    Jan 2026

  12. 12

    The CLI your coding agent uses to ship agents

    Jul 2026 · github.com

  13. 13
    Orca89

    Your control center for parallel AI agents

    Apr 2026

  14. 14TI

    Hey HN, Small OSS project that i created for myself and want to share with the community. It's a declarative, scriptable, terminal-based IDE focussed on agentic engineering. That's a lot of jargon, but essentially its a multi-agent IDE that you start in your terminal. Why is that relevant? Thanks to tmux and SSH, it means that you have a really simple and efficient way to create your own always-on coding setup. Boot into your IDE through ssh, give a prompt to claude and close off your machine. In tmux-ide claude will keep working. The tool is intentionally really lightweight, because I think…

    Mar 2026 · tmux.thijsverreck.com

  15. 15AD

    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

  16. 16UF

    Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…

    2024 · nexa4ai.com

  17. 17TU
  18. 18

    Agent-first CLI for PostHog analytics and feature flags

    May 2026 · github.com

  19. 198S

    We made a dumb terminal for AI! Type \ to see commands you can use.

    2025 · vt320.odai.chat

  20. 20TA

    Hi HN, Up to the middle of 2025, I was the CEO/CTO of a startup called Textualize. Somehow I had managed to land seed funding for my Python libraries for fancy terminal output. We wrapped up after three years because the funding ran dry. I honestly thought I was sick of coding at that point. But it turns out I was sick of the stress and working all hours. A few weeks rest was all I needed. It was about that time that coding agents exploded, and I could no longer ignore them. I wasn't impressed with the UI these tools offered. Having worked in the terminal for a few years, I knew you…

    Dec 2025 · github.com

  21. 21

    One terminal. Every agent. Total clarity.

    May 2026 · github.com

  22. 22TC

    Hi HN, I'm thrilled to share with you think, a command-line tool that I developed while diving back into the programming scene. For the past few years, my focus had shifted from hands-on programming to managerial roles, my last one being at Affirm (I started Affirm's Polish office). However, I recently left my job to revisit my passion for coding and see if I could still write code that works. Not to mention that with what is currently going on in AI if you are a developer this probably the best possible time for a sabbatical in human history :) My first attempt was with LangChain, but I…

    2023 · github.com

  23. 23
    aish4

    the terminal your agent can afford to read

    Jul 2026 · yakshithk.github.io

  24. 24IA

    1. Headless mode Headless mode allows you to use the AI as a command-line utility for automation and scripting. In Claude Code you run it with the -p flag: claude -p, in codex - exec, opencode - run. 2. Ask human The traditional communication channel with the operator won't work in headless mode - we need to implement a dedicated tool. Here is an example of how this can be done https://github.com/sermakarevich/claude/tree/main/mcp/ask_hu... 3. Tasks queue Beads is a lightweight distributed graph issue tracker for AI agents, powered by Dolt. You can…

    Jun 2026

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