ShortGPT: review, pricing, security and alternatives

What ShortGPT does

ShortGPT belongs to the automation family: platforms, often visual, that chain steps, apps and models into workflows with or without an agent. On our grid it ranks #22 of the 26 projects of this family listed in the directory.

A framework is not used as is: it is a library developers build into their own code to describe the agent's tools, decision loop and memory. It requires programming skills, but leaves control over every detail.

You use it from: developer SDK and web app. Usable models: GPT (OpenAI). It can run on your own machine or server.

Who is ShortGPT for?

It is for teams that want to connect their tools (CRM, e-mail, spreadsheets) and hand the AI the steps that require reading or deciding. Typical tasks people give it:

• qualify incoming requests and route them
• extract data from documents into a spreadsheet
• generate periodic reports

It is a good candidate if you prefer doing everything in a browser, with no install and your data must stay on your machines.

Access and human control

A framework has no access of its own: the tools you plug in define what the agent can do. Start with read-only tools.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

ShortGPT pricing

The code is free, under the MIT licence.

Getting started with ShortGPT

1. Install it: the project ships as a Python package (install with pip or uv). The exact command is in the repository README.
2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
3. Start with the minimal example from the docs, then add one tool at a time and check what the agent does with it.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

A workflow runs unattended: limit the credentials it holds and log what it sends.

Points found for ShortGPT:

• Maintenance: no commit for 20 months, flaws are no longer fixed.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on June 27, 2023, the RayVentura/ShortGPT repository has 8,066 stars, 1,168 forks and 74 open issues, with 298 commits in total. Last change 20 months ago.

Over the last 52 weeks: 0 commits, an average of 0 per week.

6 releases in total; 0 in the last twelve months. Latest release: v0.3.0, on February 10, 2025.

ShortGPT vs other automation

GitHub stars of the best-rated open-source projects in the automation family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

ShortGPT and other automation at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 43/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 23/40: 8,066 stars on a log scale (40 points from about 200,000).
• Activity 0/30: last commit 20 months ago, 0 releases in six months, 0 commits in a year.
• Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.