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Guide

Lara MD WhatsApp Bot: Features, Session ID, Pairing and Deployment Guide

LARA-MD is a WhatsApp user bot project published on GitHub in the Lara-3V repository, developed by Sadeesha. It runs on Node.js with the Baileys library, takes its Session ID from a session service linked in the README, stores its settings in settings.js, and lists deployment routes for Heroku, Replit, Koyeb, Glitch, Codespaces, Render and Railway, with its main deployment section labelled DEPLOY ONLY PAY. This guide covers what the repository confirms, and it states the safety points openly: the project says it is not open source, its entry file is obfuscated and downloads more application files at startup, and the README warns that user bots can get a WhatsApp account banned.

By AHMED X · November 6, 2026 · Last verified November 6, 2026

About

What Is LARA-MD WhatsApp Bot?

What the project is, who develops it, and what its repository contains.

LARA-MD is a third party WhatsApp user bot project hosted on GitHub in a repository named Lara-3V, under the account tharumin. Its README describes it as a user bot that lets people perform many tasks through WhatsApp.

The project is developed by Sadeesha. The README developer team table names Sadeesha as founder and developer, and a comment in the settings.js file also credits Sadeesha as the developer. The application is written in JavaScript and runs on Node.js, using the Baileys library for its WhatsApp connection. Its package.json file lists the project at version 4.0.0, with Lara.js as the main entry file.

One point the README states clearly in its introduction is that LARA-MD is not an open source project. The repository is public, but the project says its complete source is not open for free modification or redistribution, and the entry file is obfuscated, as the safety section below explains.

The README is written partly in Sinhala and partly in English. It documents a Session ID process, a settings file and a set of deployment links rather than a full manual, and it publishes no command list, so this guide covers only what the repository files confirm and says plainly where the documentation stops.

Features

LARA-MD WhatsApp Bot Features

The README does not publish a full feature list. The cards below describe the components and abilities the repository itself confirms, including the short features line in the README. Anything beyond this, such as AI chat, anti delete tools or sticker commands, is not confirmed by the documentation and should not be assumed.

WhatsApp User Bot

LARA-MD connects to WhatsApp as a user bot through a linked account, using the Baileys library, so it runs with the abilities and the risks of an automated user account.

Media Downloads Listed

The features line in the README lists YouTube download, Facebook download, Instagram download and X (Twitter) download, and package.json includes downloader libraries for several platforms. The README gives no command names or usage details for these downloads.

Session ID Authentication

The bot connects with a Session ID generated on the project session service and placed in the application configuration, as explained in the Session ID section below.

Configurable Settings File

A settings.js file holds the bot settings, including the Session ID, the owner number and welcome and goodbye message toggles, and it can also read values from a config.env file.

PM2 Process Management

The package.json scripts run the bot under PM2, with npm start, npm stop and npm restart managing a process named lara.

Many Deployment Links

The README lists deployment routes for Heroku, Replit, Koyeb, Glitch, Codespaces, Render and Railway, a free Koyeb route, and a GitHub Actions workflow, as covered in the deployment section below.

Session ID

How to Get the LARA-MD Session ID

What the repository documents about getting a Session ID, and the current state of its session service.

A Session ID is authentication information a WhatsApp bot uses to establish or restore its connection. In LARA-MD you generate one on the project session service, then place it in the bot configuration. It is not the same as a pairing code: a pairing code is entered inside WhatsApp during a linking process, while a Session ID is a value the bot configuration consumes.

The README has a Get Your SESSION ID section with two buttons, labelled Server 1 and Server 2. Both buttons currently open the same session service, hosted on Koyeb, and that service was reachable when this guide was checked: it presents a LARA-MD pairing page where you connect your WhatsApp number and receive your session information. The README then tells you to check your inbox and copy the Session ID it gives you.

To set it up, open the repository on GitHub and find the Get Your SESSION ID section, open the session service, follow its pairing instructions with your WhatsApp number, then copy the Session ID it produces. Next, place that value in the SESSION_ID setting in settings.js, following the format the README shows, SESSION_ID || "paste_copy_text", replacing the placeholder text with your own value. The settings.js file reads the SESSION_ID value when the bot starts, and it can also take values from a config.env file.

Keep your Session ID private. It works like a password for the linked WhatsApp session, so never post it in public, never send it to strangers, and never enter it on a website that is not linked from the official repository. If the session service is unavailable when you try, check the repository for updated links rather than using an unofficial replacement site.

Deployment

How to Deploy LARA-MD WhatsApp Bot

The README groups its main deployment routes under a section labelled DEPLOY ONLY PAY, so do not assume the main routes are free. It also has a separate DEPLOY IN FREE section with a free Koyeb route and a GitHub Actions workflow. Several README buttons open the provider website or sign in page rather than a finished one click deployment, so expect to connect the repository and configure the app yourself. Check each provider for current pricing, availability and terms.

01

Fork the Repository

Open github.com/tharumin/Lara-3V and use the Fork button to create your own copy, as the README instructs first.

02

Get Your Session ID

Use the session service linked in the README to generate your Session ID, then place it in the SESSION_ID setting in settings.js.

03

Choose a Platform

Pick one of the platforms the README lists: Heroku, Replit, Koyeb, Glitch, Codespaces, Render or Railway. The Heroku route has a deploy button that opens Heroku with this repository as the template.

04

Connect the Repository

On your chosen platform, connect your forked repository and create the application, following the provider instructions the README button leads to.

05

Configure and Start

Make sure the Session ID and the other settings are in place, install the dependencies with npm install where the platform asks you to run commands yourself, and start the application. On your own computer or server you can run npm start, which manages the bot with PM2.

06

Check the Logs

Review the application logs for installation errors, authentication problems or missing configuration, and confirm the bot process stays running.

07

Free Routes in the README

The README also documents a free Koyeb route and a free GitHub Actions workflow that installs dependencies with npm install and starts the app with npm start on Node.js 20. GitHub Actions is built for automation jobs, so a workflow start does not guarantee continuous hosting.

Commands

LARA-MD WhatsApp Bot Commands

Why this guide does not list commands for LARA-MD.

The README does not publish a verified list of user facing WhatsApp commands for LARA-MD: no command names, no prefixes and no categories. The package.json file includes libraries for downloading, text to speech, image work and other utilities, but a library in the dependency list does not confirm that a matching user facing command exists or what it is called.

One exception is visible in the README warning, which mentions WhatsApp setting management commands and cautions against using them too much. Beyond that mention, treat any command list copied from another MD bot as unverified, because command names and behaviour differ between projects. For accurate information, use the official resources linked from the repository.

Troubleshooting

Common LARA-MD Session ID and Deployment Problems

General checks for the problems readers hit most often with this kind of setup.

Session Service Not Opening

Refresh the page and try again, then check the repository README in case the link has changed. Use only session services linked from the official repository, and if the service stays unavailable, contact the developer through the official support group linked in the README.

Session ID Not Working

Confirm you copied the complete Session ID, that it sits in the SESSION_ID setting in settings.js in the format the README shows, and that the session is still valid. Then review the application logs for authentication errors.

Deployment Failed

Check that the platform supports a long running Node.js process, that the repository is connected correctly, that dependencies installed without errors, and that the required configuration values are present. Review the deployment logs for the exact failure.

Bot Not Starting

The package.json scripts manage the app with PM2. Check that dependencies are installed, that settings.js has the values the bot needs, and read the PM2 and startup logs for missing modules or errors.

Bot Not Responding

Confirm the process is still running, review the logs, and check that the session credentials are still valid. The README documents no command list, so first confirm the feature you are trying exists in this project through its official resources.

Official Links

LARA-MD Official Links

The resources checked for this guide: the GitHub repository, its README, the session service its buttons open, and the support group and updates channel linked from the README. Availability checked on the last verified date.

Safety

Is LARA-MD WhatsApp Bot Safe?

The precautions that apply to LARA-MD and to any unofficial bot, including the warnings from its own README.

LARA-MD is an unofficial third party WhatsApp user bot project. It is not an official WhatsApp or Meta product. The README carries its own warning, which says that because of user bots your WhatsApp account can be banned, that you are responsible for everything you do, and that using WhatsApp setting management commands too much may cause a ban. The project team does not take responsibility for bans.

The entry file is obfuscated and downloads more code at startup. The Lara.js entry file is obfuscated, so its code cannot be read directly. When it starts, it downloads additional application files, a Mega zip archive, from an external source and extracts them before the bot runs. That means the code that actually runs is not fully visible in this repository, and it can change outside the repository at any time. Only run this bot if you trust its developer.

The project also states that it is not open source, and the repository contains no license file, so no open source license grants you rights to copy, modify or redistribute its code. Treat the code as belonging to its developer and follow the project terms.

Protect your Session ID like a password: never share it publicly and never enter it on a site that is not linked from the official repository. Consider using a separate WhatsApp number for testing instead of your main account, avoid spam and abusive automation, and if you stop using the bot, remove its connection from WhatsApp Linked Devices.

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FAQ

LARA-MD FAQs

Short answers to the questions readers ask most about LARA-MD.

LARA-MD is a third party WhatsApp user bot project in the Lara-3V repository on GitHub, developed by Sadeesha. It runs on Node.js with the Baileys library, connects with a Session ID, and its README lists several deployment platforms.

The repository names Sadeesha as the founder and developer of LARA-MD, in the README developer team table and in a comment inside settings.js. The repository sits under the GitHub account tharumin.

Open the Lara-3V repository, find the Get Your SESSION ID section, and open the session service its buttons lead to. Follow the pairing instructions there, copy the Session ID it gives you, and place it in the SESSION_ID setting in settings.js. The service was reachable when this guide was checked, but availability can change.

The README lists Heroku, Replit, Koyeb, Glitch, Codespaces, Render and Railway in a main section labelled DEPLOY ONLY PAY, plus a free Koyeb route and a GitHub Actions workflow in its free section. Pricing and availability depend on the provider.

No. The README states plainly that LARA-MD is not an open source project, even though the repository is public. The repository also contains no license file, and its entry file is obfuscated, so the full running code is not open for inspection or reuse.

Disclaimer

About This Guide

How this guide was prepared.

This article is based on the official LARA-MD GitHub repository, its README, and the settings.js, package.json and Lara.js files in that repository, checked on the last verified date. The repository contains no license file, and the project states that it is not open source.

AHMED X provides this article for educational and informational purposes only. AHMED X is not the developer or owner of LARA-MD and does not claim any partnership or official affiliation with Sadeesha or the project.

AHMED X is not affiliated with, endorsed by, or sponsored by WhatsApp or Meta. WhatsApp is a trademark of its respective owner. Use unofficial WhatsApp automation at your own risk.

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