---
title: "LLMStack"
type: "tool"
slug: "trypromptly-llmstack"
canonical_url: "https://www.graphcanon.com/tools/trypromptly-llmstack"
github_url: "https://github.com/trypromptly/LLMStack"
homepage_url: "https://llmstack.trypromptly.com"
stars: 2304
forks: 347
primary_language: "Python"
license: "Other"
categories: ["ai-agents", "developer-tools"]
tags: ["agents", "ai-agents-framework", "no-code-ai", "llm-agents", "multimodal-generation"]
updated_at: "2026-07-07T19:48:06.202721+00:00"
---

# LLMStack

> LLMStack is a no-code platform for building generative AI agents, workflows and chatbots without coding experience.

A multi-agent framework in Python that enables users to build LLM-based applications and integrations via a no-code approach.

## Facts

- Repository: https://github.com/trypromptly/LLMStack
- Homepage: https://llmstack.trypromptly.com
- Stars: 2,304 · Forks: 347 · Open issues: 23 · Watchers: 24
- Primary language: Python
- License: Other
- Last pushed: 2024-12-11T19:59:51+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

agents, ai-agents-framework, no-code-ai, llm-agents, multimodal-generation

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## README (excerpt)

```text
<p align="center">
  <a href="https://llmstack.trypromptly.com/"><img src="https://docs.trypromptly.com/img/llmstack-logo-light-white-bg.svg" alt="LLMStack" width="500px"></a>
</p>
<p align="center">
    <em>LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes.</em>
</p>
<p align="center">
    <a href="https://docs.trypromptly.com/llmstack/introduction" target="_blank">Quickstart</a> | <a href="https://docs.trypromptly.com" target="_blank">Documentation</a> | <a href="https://trypromptly.com" target="_blank">Promptly</a>
</p>

## Overview

Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise.



<p align="center">
  <em>See full demo video <a href="https://www.youtube.com/watch?v=P9VoR8WPy7E" target="_blank">here</a></em>
</p>

## Getting Started

**_Check out our Cloud offering at [Promptly](https://trypromptly.com) or follow the instructions below to deploy LLMStack on your own infrastructure._**

LLMStack deployment comes with a default admin account whose credentials are `admin` and `promptly`. _Be sure to change the password from admin panel after logging in_.

### Installation

#### Prerequisites

LLMStack depends on a background docker container to run jobs. Make sure you have Docker installed on your machine if want to use jobs. You can follow the instructions [here](https://docs.docker.com/get-docker/) to install Docker.

#### Install LLMStack using `pip`

```sh
pip install llmstack
```

> If you are on windows, please use WSL2 (Windows Subsystem for Linux) to install LLMStack. You can follow the instructions [here](https://docs.microsoft.com/en-us/windows/wsl/install-win10) to install WSL2. Once you are in a WSL2 terminal, you can install LLMStack using the above command.

Start LLMStack using the following command:

```sh
llmstack
```

Above commands will install and start LLMStack. It will create `.llmstack` in your home directory and places the database and config files in it when run for the first time. Once LLMStack is up and running, it should automatically open your browser and point it to [localhost:3000](http://localhost:3000).

> You can add your own keys to providers like OpenAI, Cohere, Stability etc., from Settings page. If you want to provide default keys for all the users of your LLMStack instance, you can add them to the `~/.llmstack/config` file.

<div>
  <a href="https://www.tella.tv/video/clr16i2sl00000glahhue313b/embed?b=0&title=0&a=1&loop=0&autoPlay=true&t=0&muted=1">
    <p>LLMStack: Quickstart video</p>
  </a>  
  <a href="https://www.tella.tv/video/clr16i2sl00000glahhue313b/embed?b=0&title=0&a=1&loop=0&autoPlay=true&t=0&muted=1">
    <img style="max-width:828px;" src="https://www.tella.tv/api/stories/clr16i2sl00000glahhue313b/thumb.webp?version=2024-01-05T22:35:10.989Z&resolution=1920x1080">
  </a>
</div>

## Features

**🤖 Agents**: Build generative AI agents like AI SDRs, Research Analysts, RPA Automations etc., **without writing any code**. Connect agents to your internal or external tools, search the web or browse the internet with agents.

**🔗 Chain multiple models**: LLMStack allows you to chain multiple LLMs together to build complex generative AI applications.

**📊 Use generative AI on your Data**: Import your data into your accounts and use it in AI chains. LLMStack allows importing various types (_CSV, TXT, PDF, DOCX, PPTX etc.,_) of data from a variety of sources (_gdrive, notion, websites, direct uploads etc.,_). Platform will take care of preprocessing and vectorization of your data and store it in the vector database that is provided out of the box.

**🛠️ No-code builder**: LLMStack comes with a no-code b
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/trypromptly-llmstack`](/api/graphcanon/tools/trypromptly-llmstack)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_