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LLMStack

AI AssistantPricing model

LLMStack: build AI agents, workflows and data-connected apps

Last updated Sep 12, 2026

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What is LLMStack?

LLMStack is a source-available builder for AI agents, workflows and chatbots that combine model calls with your own data. Its visual builder can chain multiple models and connect data sources, making it more suitable for assembling an application or process than for simply opening a personal chat app. The project documents deployment on your own infrastructure and points to Promptly as its hosted offering. Supported data inputs include documents, websites and connected sources such as Google Drive and Notion. The builder provides preprocessing and vectorization for retrieval workflows. Apps can be shared publicly or with selected people, and viewer and collaborator permissions control access to shared work. The repository also documents HTTP API access and Slack or Discord triggers. Plan for infrastructure, model-provider usage, credentials and permissions as separate decisions. Installing a self-hosted builder does not make externally hosted models free or keep every data request local. Start with a limited workflow and representative documents, review the generated output, and confirm the permissions required by each connected source before expanding access. Compare AnythingLLM when a document-chat workspace is the main need; LLMStack is oriented toward composing the application and its workflow.

LLMStack's Top Features

Key capabilities that make LLMStack stand out.

Visual AI workflow and model-chain builder

Data imports from documents, websites and connected services

Document preprocessing and vectorization

Viewer and collaborator permissions

Self-hosted deployment instructions

Hosted offering through Promptly

HTTP API access for apps and chatbots

Slack and Discord workflow triggers

Use Cases

Who benefits most from this tool.

AI Developers

Developers looking to build advanced AI applications with multiple model support.

Data Scientists

Data scientists needing to integrate various data sources for comprehensive AI analysis.

Collaborative Teams

Teams collaborating on AI projects with role-based access and permissions.

Businesses

Companies aiming to deploy AI workflows quickly using a cloud platform.

Educators

Educators building educational tools and applications using AI models.

Researchers

Researchers needing to chain models for complex projects and studies.

Freelancers

Freelance developers requiring an open-source solution for client AI projects.

Tech Enthusiasts

Hobbyists interested in experimenting with AI models and data integration.

Startup Founders

Startups needing a robust platform to build and deploy AI-driven products.

Content Creators

Creators looking to enhance content with AI-generated data and applications.

Explore Top AI Use Cases

Tags

Open sourceAI agentsWorkflowsApplicationsDataMajor model providersOpenAICohereStability AIHugging FaceSeamless integrationWeb URLsPDFsGoogle DriveReactCollaborative app-buildingGranular permission settingsCloud offeringSelf-deployment

LLMStack's Pricing

Pricing model

LLMStack documents self-hosting and a hosted offering through Promptly. Compare infrastructure and model-provider charges with the current hosted plan. No numeric hosted rate or unlimited free API allowance is established here.

Self-hosted LLMStack

Supply infrastructure and any paid model providers

Promptly hosted service

Check current hosted plans and included usage

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User Reviews

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Frequently Asked Questions

What does LLMStack build?
The project describes a visual builder for generative AI agents, workflows, applications and chatbots. A workflow can chain model calls and connect the results to your data or business processes.
Is LLMStack the same as Promptly?
The LLMStack repository points to Promptly as its cloud offering. Self-hosted LLMStack and an account on the hosted service are different access paths; compare the current hosting terms and limits before choosing.
What does running LLMStack cost?
Self-hosting means supplying and maintaining the infrastructure and configuring any paid model providers. Current hosted pricing should be checked with Promptly. A free software or account entry path is not an unlimited allowance for external model APIs.
Which data sources can LLMStack use?
The official website and repository list document formats such as PDF, DOCX and PPTX, websites, direct uploads and connectors including Google Drive and Notion. Confirm the connector and access requirements for your specific deployment.
Can a team collaborate on an app?
Yes. The website describes public or restricted app sharing with viewer and collaborator roles. Review who can view and modify an app and which underlying data sources it can access.
Can LLMStack workflows be triggered outside the builder?
The repository documents HTTP API access for built apps and chatbots, plus Slack and Discord triggers. Configure the relevant credentials and test the trigger with the permissions intended for production.