# charmbracelet/mods

AI on the command line

Repository: https://github.com/charmbracelet/mods
Canonical: https://ross.abutalabs.com/products/mods
Language: Go
License: MIT
License Family: permissive
Archived: true
Last push: 2026-03-09T15:06:08+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 16, longevity 89
- inputs: {"age_days": 1253, "days_push": 177, "days_rel": 419, "gap_med": 125, "n_releases_24m": 4}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4524, forks 231 (observed 2026-08-28T04:08:52.840504+00:00)

## What it is
Mods is a Go CLI tool that brings LLM-based AI to the command line, designed to work in shell pipelines by ingesting command output and formatting results as Markdown, JSON, or other text formats. It supports OpenAI, Cohere, Groq, Azure OpenAI, and locally running models via LocalAI.

## Use cases
- pipe command output through an llm from the terminal
- summarize logs or files with ai in shell scripts
- format ai responses as markdown or json in pipelines
- use local llms from the command line
- add ai to unix command pipelines
- quickly ask questions from the terminal

## When to choose
- you want a scriptable, pipeline-friendly LLM CLI in Go
- you need to mix AI output with standard unix tools
- you want to use local models via LocalAI or multiple cloud providers

## When to avoid
- you need an actively developed tool - the project was sunset and archived in March 2026 in favor of Crush
- you want an interactive coding agent rather than a non-interactive pipeline tool
- you need a GUI or chat interface

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: llm-inference, cli, developer-tools
- domain: large-language-models, developer-tools
- platform: cli, windows, cross-platform
- tags: llm, pipelines, openai, localai, sunset, charmbracelet, command-line, automation, linux, macos

## Member repositories
- charmbracelet/mods (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:52.840504+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:15.600373+00:00, confidence not recorded.
  - readme: https://github.com/charmbracelet/mods (fetched 2026-08-28T04:08:52.840504+00:00, sha 18b5b84936e6)
- Data as of 2026-08-30T08:39:29.467469+00:00.