LLMStack: Build & Host AI Agents May 2026

Last updated: 2026-05-31

LLMStack is an open-source no-code platform for building AI agents and RAG workflows. Integrates 20+ LLMs (OpenAI, Hugging Face), supports self-hosting. Free...

LLMStack is an open-source, no-code platform for building AI agents, chatbots, and RAG workflows without coding. Integrates 20+ language models including OpenAI and Hugging Face. Self-host on Kubernetes or use managed cloud service. Free tier available; Pro $50/month. Built by Promptly for teams and enterprises.

About LLMStack

LLMStack is an open-source, no-code platform built by Promptly that enables users to rapidly create and deploy AI agents, workflows, and chatbots without writing code. The platform integrates major language model providers including OpenAI, Cohere, Stability AI, and Hugging Face, providing access to cutting-edge AI capabilities while abstracting away complex implementation details. The core architecture supports model chaining, allowing users to connect multiple LLM calls in sequence to create sophisticated multi-step workflows. Data integration is built-in, supporting PDFs, CSVs, TXT files, audio, presentations, and direct imports from Google Drive, Notion, and websites. The platform automatically preprocesses and vectorizes data, storing it in an integrated vector database for retrieval-augmented generation (RAG) workflows. LLMStack offers flexible deployment options: cloud-hosted via Promptly's managed service or self-hosted on your own infrastructure (Docker, Kubernetes, or on-premises servers). Applications built with LLMStack are accessed via HTTP APIs and can be triggered from Slack or Discord, enabling integration into existing business processes. The platform includes collaboration features supporting team development with role-based access controls (viewer and collaborator roles). Users can build chatbots, customer support agents, data analysis tools, document processing pipelines, and content generation workflows—all via visual drag-and-drop without touching code. Pricing follows a freemium model with a generous free tier for exploration and development. The Pro tier starts at $50/month. LLMStack is ideal for business analysts, product managers, and non-technical teams building custom AI applications powered by their proprietary data.

Pricing

Free tier: unlimited development with limited deployments and API calls. Pro tier: $50/month with higher API rate limits and production deployments. Annual plans available with discounts. Enterprise pricing available for self-hosted deployments.

Key Features

• Multi-Model Integration: Seamlessly connect OpenAI, Cohere, Stability AI, Hugging Face, and 20+ other LLM providers in a single workflow without vendor lock-in.
• Model Chaining & Workflows: Visually connect multiple LLM calls in sequence to create sophisticated multi-step workflows, reducing complex logic to simple drag-and-drop blocks.
• Data Integration & RAG: Import PDFs, CSVs, Google Drive, Notion, websites, and audio files. Platform auto-indexes and vectorizes data for retrieval-augmented generation with 10+ vector database options.
• Flexible Deployment Options: Deploy to Promptly's managed cloud or self-host on Kubernetes, Docker, or on-premises infrastructure with full data control.
• API-First Architecture: Export workflows as production-grade HTTP APIs. Integrate with Slack, Discord, Zapier, or custom webhooks for seamless business process automation.
• Collaborative Development: Build AI applications with teams using role-based access controls, shared workspaces, and version history for multi-user projects.

Pros

• No-code interface democratizes AI development: business analysts and PMs can build production AI applications without engineering dependencies, reducing time-to-value from months to days.
• Multi-model flexibility eliminates lock-in: switch between OpenAI, open-source Llama, Cohere, or custom models mid-project without rebuilding workflows.
• Self-hosting option provides data privacy: deploy on-premises or private cloud, critical for regulated industries handling sensitive customer data.

Cons

• UI performance degrades with scale: users report canvas lag and slowdown when flows exceed 20 blocks on mid-range laptops, limiting complexity of large workflows.
• Limited out-of-box integrations: native connectors for Slack and basic services, but Notion, Airtable, and other popular tools require custom setup.
• Learning curve for advanced features: basic usage is straightforward, but mastering model chaining, RAG tuning, and custom API development requires documentation study and experimentation.

Frequently Asked Questions

What is LLMStack and what does it do?

LLMStack is an open-source, no-code platform developed by Promptly that enables users to build AI agents, chatbots, and workflows by visually connecting language models (LLMs) to their business data without writing code. It supports 20+ LLM providers including OpenAI, Hugging Face, Cohere, and Stability AI. Users can create model chains, retrieval-augmented generation (RAG) workflows, and customer support agents that integrate with Slack, Discord, or custom APIs.

How much does LLMStack cost?

LLMStack offers a free tier for development and experimentation with limited API calls and deployments. The Pro tier starts at $50/month with higher API rate limits and full production deployment capabilities. Annual plans are available with discounts. Self-hosted deployments are free but require infrastructure costs for running Kubernetes, PostgreSQL, and vector databases. LLM token costs (OpenAI, Cohere, etc.) are passed through separately.

What are the main features of LLMStack?

Key features include: (1) Model chaining to visually orchestrate multi-step LLM workflows, (2) Data integration supporting PDFs, CSVs, Google Drive, Notion, and websites with automatic indexing and RAG, (3) Flexible deployment to cloud or on-premises infrastructure, (4) API-first architecture allowing export as production HTTP APIs, and (5) Collaboration tools with role-based access control for team development. The platform also integrates with Slack and Discord for workflow triggering.

Is LLMStack free to use?

Yes, LLMStack offers a free tier suitable for development, prototyping, and small-scale usage with unlimited development environments but limited API calls and deployments. The free tier is ideal for exploring the platform and learning how to build workflows. For production applications with higher throughput, the Pro tier starts at $50/month. Self-hosted deployment is also free but requires managing your own infrastructure.

What are the best alternatives to LLMStack?

Top alternatives include AnythingLLM (local-first, offline RAG), Dify (LLMOps-focused with visual RAG), LangChain (developer framework for Python/JavaScript), Flowise (open-source drag-and-drop UI), and crewAI (multi-agent orchestration). Choose AnythingLLM if you need local data privacy and offline operation. Choose Dify for enterprise-grade LLMOps features. Choose LangChain or crewAI for custom agent development with code.

Who is LLMStack best for?

LLMStack is ideal for business analysts, product managers, and non-technical teams building custom AI applications on proprietary data. It suits enterprises implementing AI-powered customer support agents, data teams rapidly prototyping RAG systems, and teams needing flexible deployment (cloud or on-premises) for data privacy. It is less suitable for ML engineers requiring fine-tuned model control or solo freelancers building simple chatbots.

Does LLMStack support multiple language models?

Yes, LLMStack integrates 20+ language model providers including OpenAI (GPT-4, GPT-4 Turbo, GPT-3.5), Cohere, Hugging Face, Stability AI, Anthropic Claude, and others. This multi-model flexibility allows users to switch between providers mid-project, avoid vendor lock-in, and experiment with different models without rebuilding workflows. Token costs for each model are passed through at actual provider rates.

Visit LLMStack Official Website