what is gitingest fr?

coderamp-labs/gitingest — explained in plain English

Analysis updated 2026-06-24

★ 14,650PythonAudience · vibe coderComplexity · 2/5Setup · easy

vibe map

mindmap
  root((gitingest))
    Inputs
      Git URL
      Local directory
      GitHub token
      Subdirectory path
    Outputs
      Single text digest
      File tree
      Token count
      Summary stats
    Use Cases
      Feed repo to LLM
      Audit a codebase fast
      Bundle docs for prompts
      Self host a digest server
    Tech Stack
      Python
      CLI
      Docker
      Browser extension

mindmap root((gitingest)) Inputs Git URL Local directory GitHub token Subdirectory path Outputs Single text digest File tree Token count Summary stats Use Cases Feed repo to LLM Audit a codebase fast Bundle docs for prompts Self host a digest server Tech Stack Python CLI Docker Browser extension

what do people make with this?

VIBE 1

Paste a whole GitHub repo into Claude or ChatGPT by running gitingest on the URL first

VIBE 2

Generate a digest of a private repo using a GitHub token for AI code review

VIBE 3

Self host the digest service with Docker so internal repos never leave the network

VIBE 4

Use the Python ingest function inside a notebook to feed code context to an LLM pipeline

what's the stack?

PythonCLIDockerPyPI

how it stacks up fr

	coderamp-labs/gitingest	shangtongzhang/reinforcement-learning-an-introduction	comfy-org/comfyui-manager
Stars	14,650	14,646	14,634
Language	Python	Python	Python
Setup difficulty	easy	moderate	moderate
Complexity	2/5	4/5	2/5
Audience	vibe coder	researcher	vibe coder

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min

Needs Python 3.8+ and, for private repos, a GitHub Personal Access Token in GITHUB_TOKEN.

in plain english

Gitingest is a tool for turning a Git repository into a single text file that is easy to paste into a large language model prompt. The basic idea is to take all the readable code and structure of a repo and pack it into one tidy dump, with statistics and a tree view, so an AI assistant has the full context. A neat trick the project advertises: you can replace hub with ingest in any GitHub URL (so github.com becomes gitingest.com) and get the digest for that repository from the hosted website. It comes in several forms. There is the hosted site at gitingest.com, browser extensions for Chrome, Firefox, and Microsoft Edge, a command line program, and a Python package. The README lists the main features as easy code context from either a Git URL or a local directory, an output format chosen to suit LLM prompts, and statistics about file and directory structure, the size of the extract, and the total token count. It requires Python 3.8 or newer, and a GitHub Personal Access Token is needed for private repositories. You can install gitingest from PyPI with pip, or with pipx if you prefer an isolated install. There is an optional server install for self hosting. The command line tool is called gitingest, and basic use is gitingest followed by a local path or a GitHub URL. It writes the digest to digest.txt by default. You can point it at a specific subdirectory, pass a token for private repos via a flag or the GITHUB_TOKEN environment variable, include git submodules, and include files normally ignored by .gitignore. The output destination can be changed with the --output flag, including writing to standard output for piping into other tools. In Python code, you import an ingest function from the gitingest package and call it on a path or URL. It returns three things: a summary, a tree, and the content. There is also an asynchronous version called ingest_async for use inside async code or Jupyter notebooks, where you can await it directly. Both forms accept a token argument for private repositories and an option to include submodules. The README also points to a separate self host section using Docker and to the open source browser extension repo at lcandy2/gitingest-extension for issues and feature requests.

prompts (copy fr)

prompt 1

Use gitingest to dump a GitHub repo into a single text file and pipe it into a Claude API call

prompt 2

Write a Python script that calls gitingest.ingest_async on a list of repos and saves each digest to disk

prompt 3

Show me how to gitingest only the src/ subfolder of a private repo using a GITHUB_TOKEN env var

prompt 4

Self host gitingest with Docker behind nginx so my team can hit it at digest.internal

prompt 5

Compare the gitingest CLI output to a manual concatenation and explain what tokens it strips

Frequently asked questions