TERMy

Dev tools

terminal assistant

SHOW HN2026

225points
45comments
#234of 4,366 in 2026
Top 6%of 2026 by points

How HN took it

LovedMost comments that take a side are positive

12 positive, 12 neutral or asking, 0 mixed, 1 critical, out of 25 comments about the project. Thread score +0.40.

Idea: 9 for, 0 againstDesign: 1 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Deterministic, predictable design that suits a safe terminal tool

    From 3 comments
    • At first blush, it is a really persuasive compromise between full-on LLM inference and boring old fuzzy history search! I really like it, this flavor of specialization gives the…
      mpalmer on HN
    • I haven't evaluated it yet, but I love the fact that the output is (at least claimed to be) deterministic. I can't trust an LLM to do the right thing after I deploy it to…
      gurjeet on HN
    • This is a cool project; I think it's wonderful that traditional NLP methods are being used, rather than reaching straight for an LLM. One significant advantage of not using a…
      publlus_enigma on HN
  • Runs fast on CPU without LLM dependencies

    From 2 comments
    • This is a cool project; I think it's wonderful that traditional NLP methods are being used, rather than reaching straight for an LLM. One significant advantage of not using a…
      publlus_enigma on HN
    • At first blush, it is a really persuasive compromise between full-on LLM inference and boring old fuzzy history search! I really like it, this flavor of specialization gives the…
      mpalmer on HN
  • Clever, simple idea applied in a novel way

    From 2 comments
    • I'll be the first to admit I burn too many tokens on the command line. Some form of LLM harness has been my new shell for the past 3+ years, they are much better at *sh then me,…
      _superposition_ on HN
    • This is such a cool project. I can’t wait to try it out.
      asa123 on HN

Objections

  • Limited to predetermined responses, cannot generate text

    From 1 comment
    • Warp uses LLMs so it is slow and prone to hallucination. Using very colloquial terms TERMy is more or less a calculator that knows english :) so it can run on your CPU and…
      gioscarab on HN
  • Sentiment analysis is only a gimmick that adds an emoji

    From 1 comment
    • Ciao, yes for now the sentiment analysis is used only to provide an emoji related to the response. In the future I would like also to influence the choices of adjectives and…
      gioscarab on HN

Requests

  • Fallback to an LLM for unseen or low-confidence queries

    From 3 comments
    • It's kind of antithetical to the tool's deterministic positioning, but have you considered making TERMy leverage an LLM for unseen or low-confidence queries, and then generate…
      mbil on HN
    • I like the project. I see a lot of potential integrating it with LLM providers in an effort to lower token usage for repetitive tasks. Your solution becomes the "main model" and…
      paguasmar on HN
    • It would make sense to have this integrate with a self-learning routine for an agent: e.g. at night it looks through what it did and writes NPC-Forge recipes. Tomorrow it can…
      dmos62 on HN
  • Support for coding tasks

    From 2 comments
    • If you could get Termy to code, you'd be a rich man
      vegnus on HN
    • That would be so amazing. Even if it just helped with repetitive or hard to remember patterns.
      stefanka on HN
  • Ask for approval before running potentially destructive commands

    From 1 comment
    • is it supported to have it propose a command for approval rather than running autmatically? in the YT video it looks likw it ran the cpu temp command on its own love the…
      cyberclimb on HN
  • Find installed packages by task

    From 1 comment
    • what I would love to see along those lines is something that can answer "what packages do I have installed to do task $foo"; I keep installing things that I use for one thing and…
      zem on HN

Questions

  • Which dataset does step 5 rely on

    From 1 comment
    • What dataset does step 5 rely on? Is it from your own terminal history, man pages, scrapped dataset from e.g. StackOverflow, sth else?
      utopiah on HN
  • How does it differ from Warp's AI mode

    From 1 comment
    • Cool project! How does it differ from warp terminals ai mode where you can ask it questions and it responds back
      registereduser1 on HN
  • Are there similar datasets for coding

    From 1 comment

Alternatives named

  • Warp terminal AI mode

    From 2 comments
    • Cool project! How does it differ from warp terminals ai mode where you can ask it questions and it responds back
      registereduser1 on HN
    • Warp uses LLMs so it is slow and prone to hallucination. Using very colloquial terms TERMy is more or less a calculator that knows english :) so it can run on your CPU and…
      gioscarab on HN
  • tldr / tealdeer cheatsheets

    From 2 comments
    • So is this kind of like a super-powered tealdeer ?
      indigodaddy on HN
    • Yes tldr, navi cheatsheets are essentially a great set of how to do X using Y for terminal utilities. Pretty well curated set of commands for majority of the tasks, so are great…
      analog_daddy on HN
  • nl2bash dataset

    From 1 comment
    • cf. https://github.com/TellinaTool/nl2bash paper: https://arxiv.org/abs/1802.08979
      nateb2022 on HN
  • FunctionGemma and small LLMs

    From 2 comments
    • > Models like ornith:9b, mistral:7b or cogito:14b can get the job done sometimes, but they are not fast and reliable enough for general use, specially if you have only 4GB of…
      kouteiheika on HN
    • FunctionGemma never worked well for me (without fine tuning). Liquid has released 230M and 350M models that work far, far better in my testing:…
      coder543 on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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