What Zango Is
Zango is the platform for building Agentic AI business applications. Underneath it is an open-source Django meta-framework, strongly opinionated toward business apps, that ships the batteries those apps always need. The point of that foundation is the agent on top: because tenancy, security, workflows, and audit are already solved, an AI agent can act on real data safely instead of sitting on a blank stack.
What an Agentic AI business application is
Start with an ordinary business application: the internal tools and client portals that off-the-shelf ERPs, CRMs, and SaaS never quite fit, because the workflow is unique to the business. They share a common shape:
- They exist to support a business operation or workflow.
- One or more roles collaborate on a shared set of records.
- Their foundation is CRUD interfaces and workflows on those records.
- The data is confidential, so security and compliance are not optional.
An Agentic AI business application is that, plus AI agents that take part in the work: triaging records, drafting documents, summarising history, and taking actions, all through the same roles, rules, and audit trail as the people using the app. On a generic stack you would rebuild tenancy, auth, access control, and audit before an agent could safely touch anything. Zango treats all of that as solved, so your time goes to the domain and the agent's job.
Why Zango instead of the alternatives
| Approach | The catch Zango removes |
|---|---|
| Proprietary platforms (e.g. Salesforce Apex) | Vendor lock-in |
| Low-code / no-code builders | A ceiling on customizability |
| Raw web frameworks (Django, Express, Laravel) | You reinvent security, compliance, and tenancy, and the AI has no safe context to act in |
Zango keeps the full flexibility of code while giving you the shared foundation of a platform, and a native place for agents to live.
What you get off the shelf
Foundational platform
App lifecycle management, user management, role-based access control, and a detailed permissions framework, all available immediately and governed by one compliance model.
Native AI module
Providers, prompts, tools, and agents that inherit the platform's tenancy, permissions, and audit, so an agent acts on real data with the same guardrails as a user.
Data isolation by design
Multiple tenants run independently in one deployment, each in its own schema, so confidentiality holds without any tenant-filtering code.
Package ecosystem
Reusable packages (AppBuilder, CRUD, Workflow, Communication) accelerate the parts every app shares.
Dynamic management
Routes, menus, themes, and policies change at runtime from the App Panel, with no redeploy.
Built for the AI era
Zango's guiding bet is that, with capable models, building software by describing intent beats clicking through configuration. Because the framework is consistent and opinionated, the zango-app-developer plugin generates correct, idiomatic code from a plain-English description, and that same consistency is what lets an AI agent act safely on the app's data once it is running. You describe the Agentic AI app you want; the platform makes it real, and these pages are the mental model behind it.