claude-skill

gptme – Turn your terminal into a code‑writing AI assistant

For founders who code fast, gptme brings an autonomous LLM agent to the CLI that writes code, runs commands and browses the web—all locally. 4.4k+ GitHub stars.

From the repo · “Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!”

4,458 stars+10★ this week454 forksPythonGuide quality 9/10 · reviewed Oct 14Updated 10/21/2026100% free · open source
What it does

Gptme allows you to create a persistent autonomous agent that can write code, use the terminal, and browse the web, automating workflows and tasks

When to use it
  • •When you need to automate repetitive tasks in your workflow
  • •When you want to create a custom autonomous agent that can interact with local tools and the web
  • •When you need to automate code writing or data processing tasks
Ready-to-paste prompt
python gptme.py --task write_code --lang python --prompt 'Write a Python script to scrape a website'
Heads up: Make sure you have the correct version of Python installed, as gptme requires Python 3.8 or later, and also be aware that gptme uses local tools and may require additional setup or configuration to work properly
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/gptme && curl -fsSL https://workflowstacks.com/api/skills/gptme/claude-skill -o ~/.claude/skills/gptme/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How gptme – Turn your terminal into a code‑writing AI assistant works
Codeflow
Free to inspect

Gptme – Turn your terminal into a code‑writing AI assistant is a very large Python project (~222k lines across 794 code files, plus 521 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~222k lines · 794 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python · Docker
Needs API keys (.env)
Python 85%TypeScript 13%JavaScript 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    gptme/__main__.py
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
gptme/Core code — the actual logic497 files
site/Frontend / UI32 files
packages/Sub-packages / plugins3 files
docs/Documentation202 files
webui/Folder375 files
tauri/Folder112 files
scripts/Helper scripts53 files
tests/Tests — proof it works415 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
gptme
Language
Python
Category
claude-skill
Published
3/24/2023

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/gptme.svg)](https://workflowstacks.com/skills/gptme?utm_source=github&utm_medium=badge)
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