Zango is a Django meta-framework for rapidly building enterprise-ready, multi-tenant Agentic AI business applications. It provides a vertically integrated platform encompassing backend, frontend, and operations, enabling developers to create complex business logic with integrated AI agents while significantly reducing infrastructure overhead.

How It Works

Zango leverages Django for Agentic AI application development. Its core design emphasizes multi-tenancy, allowing multiple distinct applications on a single deployment with strict data isolation per tenant, reducing operational costs. A first-class AI module is deeply integrated, enabling agents to operate within the correct tenant's data context, respect permissions, and log invocations with cost tracking. The platform uses essential packages like AppBuilder, CRUD, and Workflow as modular building blocks.

Quick Start & Requirements

The fastest start is via the zango-app-developer plugin for Claude Code. Install it using claude plugin marketplace add Healthlane-Technologies/zelthy-claude-skills and claude plugin install zango-app-developer@zelthy, then run /zango-app-developer in Claude Code to bootstrap a local environment and generate your app from a plain-English description. Manual setup options include Python Virtualenv or Docker. Official documentation is at https://zango.dev/docs.

Highlighted Details

• Native AI Module: Integrates agents, tools, prompts with per-tenant context, state, and cost tracking (OpenAI/Anthropic). Features policy-gated endpoints and automated logging of invocations.
• Advanced Multi-tenancy: Hosts multiple apps/microservices on one server, ensuring tenant data isolation and reducing infrastructure costs.
• Enterprise-Ready: Built-in compliance (logs, audit trails, policy management) and robust authentication (OTP, MFA, SAML 2.0, etc.).
• Modular Packages: Core building blocks: AppBuilder (React shell, auth UI), CRUD (data management), Workflow (lifecycle), Communication (SMS, email).

Maintenance & Community

Zango fosters community engagement via its Discord server. Contributions are welcomed through starring, awareness, issue reporting, and pull requests.

Licensing & Compatibility

The project's license is not explicitly stated in the README. This omission requires clarification for adoption decisions, especially concerning commercial use or integration into closed-source projects.

Limitations & Caveats

AI module supports OpenAI/Anthropic; more providers planned. Core packages (AppBuilder, CRUD, Workflow) require specific installation order. The absence of a clearly defined license is a significant adoption blocker.