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LetMeDoIt AI

LetMeDoIt AI is a Python command-line agent built with the AgentMake AI SDK to plan and resolve complex tasks using available tools, including tasks that change files or device state.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

LetMeDoIt AI — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a task can be expressed in the terminal and can be handled by the available AgentMake AI tools, especially when the request involves planning or multiple steps.

Who it is for

  • People who want to delegate multi-step computing tasks through a command line.
  • Users who need a simpler task-oriented command as well as a complex-task command.
  • Developers interested in an AgentMake AI-based task agent or in extending available tools.

Documented uses

  • Submit a complex request for the agent to plan and resolve across multiple steps.
  • Ask a simpler task to be handled through the lightweight command.
  • Use or specify tools for actions such as search, file text extraction and local computing tasks.
  • Adjust the default tool choices for later requests or for a single invocation.
Before you choose

Requirements & limits

The project is distributed as a Python package installable with pip. Its public repository specifies the GPL-3.0 license.

  • Local task execution can create files or change a device, so consider the effects of each delegated action.
  • Supported tasks are bounded by the tools available through AgentMake AI; custom tools are described as an extension option.
  • The README identifies Ollama as the default backend and says configuration can be edited.
  • An extra genai package is documented for the Vertex AI backend via google-genai.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install LetMeDoIt AI and open its setup

Install the package in a Python virtual environment and launch its documented setup command.

Before you start

  • Python 3 and a terminal

Steps

  1. Create a virtual environment with the command below.

    Documented command
    python3 -m venv tm

  2. Activate it with source tm/bin/activate.

  3. Install or upgrade the package with the command below.

    Documented command
    pip install --upgrade letmedoit

  4. Run ai -m to open setup.

Expected outcome

The package is installed in the activated environment and its setup command has been launched.

Guide limitations

  • This is an installation and setup recipe; the README does not specify the subsequent configuration choices.
  • The project can only handle requests within the capabilities of its available AgentMake AI tools.
Documentation 1 ↗
Source-based practical guide

Submit a task through the command line

Use the documented complex-task or simple-task command pattern.

Before you start

  • LetMeDoIt AI installed and configured
  • A terminal

Steps

  1. For a complex request, use letmedoit followed by a quoted task, such as letmedoit "Tidy up my Desktop content.".

  2. For a simple request, use letmedoitlite followed by a quoted task, such as letmedoitlite "Create three folders, named 'test1' 'test2' 'test3', on my Desktop.".

Expected outcome

The task is submitted to the corresponding LetMeDoIt AI command.

Guide limitations

  • The result depends on the capabilities of the available AgentMake AI tools.
  • The README warns that tools can generate files or make changes on the device; use judgment when delegating local actions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
eliranwong/letmedoit · Official homepage title · retained in its source language
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