Course
Give your AI a permanent memory of your business. A course for people who use ChatGPT or Claude daily.Compound Context
LLMStack logo

LLMStack

LLMStack AI lets you build and manage AI agents and chatbots without writing code. You can easily connect it to popular AI models and your own data, making it simple for any team to create smart, custom AI tools for their business.

Visit Website
OverviewFeaturesUse CasesFAQIntegrations

About LLMStack

Who It's For

This tool is for teams and businesses that want to build smart AI tools and chatbots without coding. It's also for organizations needing secure AI solutions that work with their specific data.

What You Get

You get to build many AI tools like chatbots, research helpers, and complex AI tasks. You can also make custom AI agents that connect to your internal systems or the internet. All without code, using various AI models.

How It Works

The platform collects input from you or your data. Then, AI models process it to create responses or actions. You use a simple drag-and-drop builder to connect AI tools and models. Easily add your own data like PDFs or Google Drive files.

Visit Website
LLMStack

Stay in the loop

Weekly roundup of new AI agents. No spam, unsubscribe anytime.

Subscribe and get the free 2026 AI Agents Field Guide

Join 1,500+ AI builders · weekly, no spam

Compound Context

Give your AI a memory

Build one knowledge base all your AI tools draw from, kept current with your review.

Course

Features & Capabilities

⚙️ Core AI Capabilities

Multi-Provider LLM Support

Integrates with major LLM providers such as OpenAI, Cohere, Stability AI, and Hugging Face to build powerful applications.

💾 Data Integration

Custom Data Ingestion

Connects your own data from various sources like web URLs, PDFs, Google Drive, and Notion to enhance generative AI applications.

🤝 Collaboration & Sharing

Granular Access Control

Manages app access by sharing publicly or restricting to specific users with detailed permission models.

Multi-User Collaboration

Allows multiple users to modify and build applications together using distinct viewer and collaborator roles.

Use Cases

Automating Customer & Sales Engagement with AI Chatbots

Businesses struggle to provide instant, personalized responses to customer inquiries or qualify sales leads at scale. LLMStack AI enables teams to quickly build and deploy AI-powered chatbots and AI SDRs, trained on their specific data from various sources like websites and PDFs, to deliver accurate information and automate engagement across channels like web, Slack, or Discord.

B2B SaaS, Customer Service, Sales & MarketingFor: Sales Development Representatives, Customer Support Managers, Marketing Managers

Enhancing Internal Research and Knowledge Management

Employees often spend excessive time sifting through internal documents, presentations, and various data silos to find critical information. LLMStack AI allows organizations to create custom AI research analysts and knowledge agents that can rapidly process and synthesize insights from diverse internal data sources (e.g., Google Drive, Notion, PDFs, PPTs), streamlining information retrieval and accelerating decision-making for teams.

Enterprise, Consulting, OperationsFor: Research Analysts, Project Managers, Knowledge Managers, Business Analysts

Building Complex AI-Powered Business Process Automation

Automating intricate business processes that require intelligent decision-making or dynamic content generation often demands extensive coding and integration efforts. With LLMStack AI's no-code drag-and-drop builder, users can construct multi-step generative AI workflows by chaining various LLMs and connecting to internal tools, enabling sophisticated RPA automations for tasks like intelligent document processing, dynamic content creation, or advanced data analysis.

Business Process Automation, Operations, MarketingFor: Process Automation Specialists, Business Analysts, Operations Managers, Marketing Technologists

Secure & Collaborative Enterprise AI Development and Deployment

Enterprises need to adopt generative AI but face challenges with data security, compliance, and providing collaborative environments for large teams. LLMStack AI offers multi-tenant architecture, granular access controls, and flexible deployment options (cloud or on-premise), allowing organizations to securely build, share, and manage custom AI agents and applications across departments while maintaining control over sensitive data and intellectual property.

Enterprise Software, Financial Services, HealthcareFor: IT Leaders, Security Architects, Enterprise Architects, Go-to-Market Leaders, AI/ML Teams

Frequently asked questions

LLMStack AI is a no-code platform that allows users to build, deploy, and manage generative AI agents, workflows, and chatbots. It enables integration with multiple large language models (LLMs) and connects to your own data sources, making it easy to create advanced AI applications without coding.

LLMStack AI is designed for teams and businesses looking to build smart AI agents and apps, for users who want to leverage AI without deep coding expertise, and for organizations needing secure, customizable AI solutions that understand their specific data.

You can build AI-powered chatbots and agents (e.g., AI SDRs, research analysts, RPA automations), multi-step workflows and complex generative AI applications, and custom agents that connect to internal tools, search the web, or browse the internet.

LLMStack AI uses a "sense-think-act" cycle where it collects input from users or data sources, processes input using LLMs and workflows, and generates responses or performs actions based on the processed data. A drag-and-drop builder allows you to connect AI models and tools, creating complex workflows with memory and multi-step task abilities.

LLMStack AI supports a wide range of data sources, including Web URLs and sitemaps, PDFs, audio files, and PowerPoint presentations, and Google Drive and Notion imports.

Yes, LLMStack AI supports integration with major model providers such as OpenAI, Cohere, Stability AI, and Hugging Face. You can also create custom processors and providers to extend its capabilities.

LLMStack AI can be deployed in the cloud, on-premise (self-hosted), or via HTTP API for app or chatbot access.

Yes, you can trigger your AI chains directly from Slack or Discord, making it easy to integrate with your existing workflows.

Yes, LLMStack AI is multi-tenant. You can create multiple organizations, add users, and control access to data and AI chains on a per-organization basis.

LLMStack AI provides strong security features to protect your data, including multi-tenant isolation, secure data handling and access controls, and regular updates and maintenance for security and performance.

To get started with LLMStack AI, you first install and start LLMStack using the command line, then access the platform via your browser (typically at localhost:3000), use the no-code builder to create your AI agents, workflows, or chatbots, and finally connect your data sources and deploy your applications.

Documentation for LLMStack AI can be found at https://docs.trypromptly.com/llmstack/introduction, the GitHub Repository is https://github.com/trypromptly/LLMStack, and a demo video is available on the official website and GitHub page.

Yes, you can adjust LLM settings such as temperature, frequency penalty, and presence penalty during agent creation for fine-tuning responses.

The key benefits of using LLMStack AI include no-code development for AI agents and workflows, seamless integration with multiple LLMs and data sources, multi-tenant support for team collaboration, flexible deployment options (cloud or on-premise), and strong security and access controls.

Tags

chatbotopenaidata ingestionllm agenthugging face

Specifications

Deployment
Browser
Cloud
Target Audience
Startup
Business
Complexity
Low-code

Integrations

OpenAI
Cohere
Stability AI
Hugging Face
Google Drive
Notion

Want your AI tool listed here?

Start with a free eligibility check.

Submit

Promote your AI tool here

Get featured placement in front of 25k+ monthly visitors actively searching for AI tools.

View sponsorship packages →

Links

Website GitHub

Similar Agents

StackAI

StackAI

Category mock

Build and deploy AI agents to automate tasks without coding.

Haystack

Haystack

Category mock

Build smart AI apps and agents with Haystack's open-source framework.

Langflow

Langflow

Category mock

Visually build, customize, and deploy AI apps with ease.

operators.dev

operators.dev

Category mock

Build and deploy AI agents easily, without complex coding.

See all LLMStack alternatives →