How do I deploy Llana (Open-Source LLM Management & AI Workflow Platform) on Railway?

You can deploy Llana (Open-Source LLM Management & AI Workflow Platform) on Railway by clicking the "Deploy Now" button on this page. Railway will automatically set up all the necessary services and configurations for you.

What are the system requirements?

Railway handles all the infrastructure requirements. You only need a web browser to deploy and manage your application.

Is this template free to use?

Yes, this template is free to use within your existing Railway account.

Can I customize this template?

Yes, you can fully customize this template. After deployment, you will have full control of what you've deployed in your Railway project.

How do I get support for this template?

You can get support through our community forum: llana-9980806a, or join our Discord community for more assistance.

![Llana open-source no-code API wrapper Image](https://res.cloudinary.com/dojdzamvk/image/upload/v1761389522/Image_15_ipkvut.jpg "Realtime Deployment of llana on Railway”)

Deploy and Host Managed Llana Service with one click on Railway

Llana is an open-source AI orchestration and workflow automation platform designed to simplify building, managing, and deploying LLM-powered applications. It acts as a bridge between large language models (like GPT, Claude, and Mistral) and real-world data, providing developers with a clean interface to manage prompts, memory, tools, and workflows. Llana enables users to prototype, test, and deploy AI agents faster - without wrestling with complex backend setups.

About Hosting Llana on Railway (Self Hosting Llana on Railway)

You can self-host Llana on Railway to run your own AI orchestration infrastructure securely and independently. Hosting Llana yourself ensures that all prompts, workflows, and API keys stay fully under your control, without relying on any external hosting provider. Railway makes this even easier by automating deployment, scaling, and updates.

Why Deploy Managed Llana Service on Railway

Deploying a managed Llana service on Railway offers the best of both worlds—the power and flexibility of open-source AI orchestration with the simplicity of a fully managed cloud environment. You don’t need to set up servers manually, configure Docker files, or worry about scaling. Everything runs securely on Railway with a single click.

Railway vs DigitalOcean

While DigitalOcean requires manual droplet configuration, Nginx setup, and ongoing updates for self-hosting Llana, Railway eliminates all of that with an instant deployment workflow. You can deploy Llana directly from GitHub, set environment variables via the dashboard, and Railway handles scaling, logging, and backups automatically.

Railway vs Vultr

Hosting Llana on Vultr involves creating and managing VPS instances, installing dependencies, and configuring firewalls. With Railway, these steps are automated. You can deploy Llana with pre-configured templates that spin up instantly and connect seamlessly to databases or APIs.

Railway vs Hetzner

Hetzner offers powerful servers but leaves system administration entirely to you. Railway offers a managed environment for Llana where scaling, monitoring, and system health are automated. This makes Railway ideal for teams that want to focus on AI orchestration, not infrastructure engineering.

Common Use Cases for Llana

Llana is built to orchestrate AI workflows and automate repetitive or multi-step processes involving large language models. Here are five common use cases:

AI Agent Management: Create multi-step agents that interact with APIs, databases, and other systems using LLMs for reasoning.
Customer Support Automation: Power chatbots and customer support flows that pull real-time data and respond intelligently.
Knowledge Base Search: Build semantic search systems that use vector embeddings to retrieve contextually relevant answers.
Business Process Automation: Automate report generation, email responses, and data extraction with AI-driven decision flows.
Custom AI Tools Integration: Connect Llana with tools like LangChain, OpenAI, or Hugging Face for advanced workflow automation.

Dependencies for Llana Hosted on Railway

To host Llana successfully on Railway, you need a few dependencies that Railway automatically provisions:

Runtime Environment: Node.js or Python (depending on your chosen Llana setup)
Database: PostgreSQL or MongoDB for storing workflow and session data
API Keys: For your connected LLMs (e.g., OpenAI API, Anthropic API)

Deployment Dependencies for Managed Llana Service

Railway provisions and manages the infrastructure needed to run Llana - from compute containers to networking. When deploying, you simply define your variables such as LLANA_DB_URL, OPENAI_API_KEY, and other model-specific keys.

Implementation Details for Llana (AI Workflow Orchestration Engine)

When you deploy Llana, set environment variables for your database and model keys. For example:

LLANA_DB_URL=postgres://user:password@host:port/dbname OPENAI_API_KEY=sk-xxxxx ANTHROPIC_API_KEY=ak-xxxxx

Once deployed, Llana automatically initializes its workflow engine, API endpoints, and dashboard, allowing you to design, test, and run AI pipelines right away.

How Llana Compares to Other AI Orchestration Platforms

Llana vs LangChain

LangChain is a Python-based library for LLM chaining, great for development but requires coding and manual server management. Llana provides a full-fledged orchestration platform with a graphical interface, workflow editor, and backend out of the box—ready to deploy.

Llana vs Dust

Dust focuses on collaborative AI apps but has a limited open-source core. Llana, being fully open-source, gives you flexibility to customize and extend workflows with code or no-code tools, all while hosting it yourself.

Llana vs Flowise

Flowise offers a visual node-based interface similar to Llana, but Llana emphasizes modular orchestration, database integrations, and scalable deployments. Llana also integrates directly with multiple LLM providers simultaneously.

Llana vs Hugging Face Spaces

Hugging Face Spaces is ideal for model demos. Llana goes beyond by orchestrating full workflows involving multiple models, APIs, and logic layers—perfect for production AI systems.

Llana vs LangFlow

LangFlow provides a frontend for LangChain. Llana, on the other hand, provides an entire orchestration backend - handling state, logic, APIs, and scheduling—ideal for enterprise-grade deployments.

How to Use Llana

Deploy Llana on Railway using the one-click template.
Access the Llana dashboard via your Railway project URL.
Connect APIs and models (e.g., OpenAI, Anthropic, Hugging Face).
Design workflows visually or via YAML/JSON configs.
Run and monitor executions from the dashboard in real-time.

Once configured, your Llana instance acts as a backend for your AI-powered apps or automations.

How to Self Host Llana on Other VPS

Clone the Repository

Download Llana from GitHub:

git clone https://github.com/llana-ai/llana.git

Install Dependencies

Ensure Node.js, npm, and PostgreSQL are installed.

npm install

Configure Environment Variables

Set up your database and model API keys:

export LLANA_DB_URL=postgres://user:password@localhost:5432/llana
export OPENAI_API_KEY=sk-xxxxx

Start the Llana Server

npm start

Access the Dashboard

Open your browser at http://localhost:3000 to access Llana’s dashboard and start creating workflows.

Features of Llana

Visual Workflow Builder: Create and manage AI workflows without writing complex code.
Multi-Model Support: Connect OpenAI, Anthropic, Hugging Face, and local models.
Data Integrations: Plug in PostgreSQL, Redis, or API connectors seamlessly.
Prompt Management: Store, version, and reuse prompts efficiently.
Secure API Handling: Manage API keys and tokens with environment variable encryption.
Open Source: Modify, extend, and self-host with full transparency.

Official Pricing of Llana Cloud Service

Llana is open-source and completely free to self-host. However, cloud-hosted enterprise plans are available for managed deployments, with pricing starting around $29/month for small teams. These include advanced logging, monitoring, and collaboration tools.

Self Hosting Llana vs Llana Cloud

Feature	Self-Hosted Llana	Llana Cloud
Cost	Free (only Railway costs)	Starts at $29/month
Control	Full control over data and setup	Managed by Llana team
Scaling	Automated on Railway	Included
Customization	Fully customizable	Limited to cloud options

Monthly Cost of Self Hosting Llana on Railway

Self-hosting Llana on Railway typically costs $5–$10 USD/month for the base app, plus extra if you add a managed PostgreSQL database. It remains a cost-effective choice compared to most managed AI platforms.

FAQs

What is Llana?

Llana is an open-source AI orchestration and workflow automation platform that helps developers build, manage, and deploy AI-powered workflows.

How do I self-host Llana?

You can deploy Llana directly on Railway with one click using the managed template, or manually install it on your VPS using Node.js and PostgreSQL.

What are Llana’s core features?

Llana offers visual workflow creation, model integrations, prompt management, and secure environment configuration.

How does Llana differ from LangChain?

LangChain is a library for chaining LLM calls, while Llana provides a complete orchestration backend and dashboard for managing AI workflows.

Is Llana free to use?

Yes, Llana is completely free and open-source. You only pay for hosting infrastructure (like Railway or your VPS).

How much does it cost to host Llana on Railway?

Usually $5–$10/month for the core app, depending on database and traffic usage.

Does Llana support multiple models?

Yes, Llana supports OpenAI, Anthropic, Hugging Face, and other model APIs simultaneously.

Can I integrate Llana with other tools?

Yes, Llana supports REST APIs, databases, and custom connectors, enabling integration with any external service.

Is Llana secure?

Yes, it uses environment variables to store sensitive data, and when hosted on Railway, security patches and SSL are handled automatically.

Where can I find Llana’s source code?

You can find Llana’s official open-source repository on GitHub: https://github.com/llana-ai/llana