Ainiro
AINIRO Magic Cloud is an open-source AI-driven low-code/no-code platform that generates full-stack applications, AI agents, chatbots, APIs and workflows from plain English, and can be self-hosted for secure, production-grade deployments.
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Best for: NoCode / LowCode
What it does
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Best fit
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Pricing snapshot
Freemium from $29 per month
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Ainiro
AINIRO Magic Cloud is an open-source, AI-based low-code and no-code software development platform that lets teams create full-stack apps, AI agents, web APIs, databases and automation workflows using natural language. The platform uses an internally built Hyperlambda generator and an AI "vibe coding" approach to assemble backend logic, frontend UI, authentication, RBAC and APIs automatically.
Magic Cloud is designed for professional and enterprise use: it is self-hostable (Docker-ready), includes sandboxed execution via Hyperlambda, and supports security features such as RBAC, cryptography and SSO/OIDC. The project is mature and actively developed (noted on GitHub with ~1,100 stars and thousands of commits) and is positioned for teams that need production-grade control, auditability and the option to run models on-premises.
AINIRO Magic Cloud is an open-source AI-driven low-code/no-code platform that generates full-stack applications, AI agents, chatbots, APIs and workflows from plain English, and can be self-hosted for secure, production-grade deployments.
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Natural language full-stack generation
Generate frontend, backend, database schemas, CRUD UIs and secured APIs from plain English prompts; the machine assembles complete starter apps automatically.
AI Agents & Chatbots
Create custom AI agents and website chatbots based on company data, including visual agents that render micro-apps inside the chatbot; embedable on websites and integratable with existing systems.
Hyperlambda generator & workflows
AI-based Hyperlambda code generation for backend APIs and workflows—structured, reviewable source suitable for engineering teams.
Open source & self-hostable
The platform is open source, can be self-hosted via Docker, and allows swapping the internal LLM for on-prem models to satisfy compliance or data-residency requirements.
Security & enterprise features
Built-in RBAC, cryptography, sandboxed runtime, and support for OAuth / OpenID Connect (SSO) to meet enterprise security and access control needs.
Headless browser & automation
Includes a headless browser enabling AI agents to browse the web, fill forms and perform complex browser-based automations.
Language & runtime support
Can generate, persist, compile and execute C# and Python code; includes terminal bindings for CLI-based automations and legacy integrations.
Git and GitHub integration
Native Git and GitHub integration for source control and team workflows, including versioning of generated code and Hyperlambda workflows.
White-label & SaaS support
White-label offering with custom domains, integrated subscriptions and SSO/OIDC to launch fully branded SaaS products.
Pricing
7-Day Free Trial available for plans; no permanent free tier described.
Mini One
$29 per month- AI chatbot (1 chatbot)
- 50 web pages max
- 7-Day Free Trial
- 30-Day Money Back Guarantee
Developer
$98 per month- 10 AI agents
- 30,000 facts
- Private Cloudlet
- 7-Day Free Trial
Professional
$298 per month- 10 AI agents
- 30,000 facts
- Private Cloudlet
- 7-Day Free Trial
Enterprise
$498 per month- 30 AI agents
- 100,000 facts
- Private Cloudlet
- 7-Day Free Trial
Use Cases
Customer service chatbots
Build website-embedded chatbots that automate customer support, answer frequent questions and integrate with backend systems and knowledge bases.
SaaS white-label solutions
Create white-labeled AI chatbot SaaS products with subscriptions, custom domains and integrated SSO for resellers and product teams.
Internal business applications
Rapidly generate internal admin tools, ops dashboards and CRUD apps connected to real data and internal services.
Vertical AI assistants
Industry-specific agents such as HR advice systems, financial Q&A bots, and hospitality/e-commerce assistants that interact with customers in multiple languages.
Full-stack product development
Use natural language to produce complete full-stack applications (frontend + backend + DB + auth) to accelerate prototyping and production delivery.
Automation & web interaction
Automate tasks that require browser interaction using the headless browser (form filling, browsing, scraping) and orchestrate workflows with Hyperlambda.
Integrations
Git / GitHub
Native Git and GitHub support for source control and versioning of generated code and workflows.
Databases & external APIs
Connect to any existing databases or APIs to generate agents and apps that interact with real data.
SSO / OAuth / OpenID Connect
Supports enterprise authentication and single sign-on via OAuth and OpenID Connect.
On-premises LLMs
Option to exchange the internal LLM for locally hosted or on-premises models to meet security and compliance needs.
Headless browser
Integrates browser automation capabilities for AI agents to browse, fill forms and interact with web content.
Benefits
Limitations
Frequently Asked Questions
Is Magic Cloud basically Lovable — but for serious companies?
Can Magic Cloud build real full-stack apps (frontend + backend), not just prototypes?
Do I need many external services (Zapier/connectors) to make real apps?
Is Magic Cloud open source and self-hostable?
Can Magic Cloud generate backend APIs from natural language?
Can I launch a fully branded SaaS under my own domain?
Getting Started
- 1 Request a free demo or submit your website for an automated demo agent (the demo generation scrapes your site and emails a test link).
- 2 Sign up for a hosting plan or download the open-source project and install via Docker (installation advertised as a 5-minute Docker install).
- 3 Use plain English prompts in Magic Cloud to generate apps, agents or APIs; review and adjust generated Hyperlambda workflows and deploy to your environment.
Support
Email support via [email protected] for inquiries and sales.
phone
Phone contact available at +357 96 69 73 40.
docs
Product documentation and Magic docs referenced on the site (installation via Docker and platform docs).
community
Open source project and GitHub presence for issues, contributions and community support (GitHub repo referenced on the site).
API
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