Customizing and Creating Derivative Applications

This document outlines how to develop applications derived from big-AGI.

Manual Customization

Application customization requires manual code modifications or the use of environment variables. Currently, there is no admin panel to "managed" deployment customization for enterprise use cases.

Required Code Alteration	Not Required
- Persona changes - UI theme customization - Feature additions or modifications	- Setting API keys in environment variables - Toggling features with environment variables
Apply these to the source code before building the application	Set these post-build on local machines or cloud deployment, before application launch

Code Alterations

Start by creating a fork of the big-AGI repository on GitHub for a personal development space. Understand the Architecture: big-AGI uses Next.js, React for the front end, and Node.js (Next.js edge functions) for the back end.

Add Authentication

This necessitates a code change (file renaming) before build initiation, detailed in deploy-authentication.md.

Change the Personas

Edit the src/data.ts file to customize personas. This file houses the default personas. You can add, remove, or modify these to meet your project's needs.

Modify src/data.ts to alter default personas

Change the UI

Adapt the UI to match your project's aesthetic, incorporate new features, or exclude unnecessary ones.

Adjust src/common/app.theme.ts for theme changes: colors, spacing, button appearance, animations, etc
Modify src/common/app.config.tsx to alter the application's name
Update src/common/app.nav.tsx to revise the navigation bar

Testing & Deployment

Test your application thoroughly using local development (refer to README.md for local build instructions). Deploy using your preferred hosting service. big-AGI supports deployment on platforms like Vercel, Docker, or any Node.js-compatible service, especially those supporting NextJS's "Edge Runtime."

deploy-cloudflare.md: for Cloudflare Workers deployment
deploy-docker.md: for Docker deployment instructions and examples

After deployment, share your project with the community. We will link to your project to help others discover and learn from your work.

Project	Features	GitHub
🚀 CoolAGI: Where AI meets Imagination	Code Interpreter, Vision, Mind maps, Web Searches, Advanced Data Analytics, Large Data Handling and more!	nextgen-user/CoolAGI
HL-GPT	Fully remodeled UI	harlanlewis/nextjs-chatgpt-app

For public projects, update your README.md with your modifications and submit a pull request to add your project to our list, aiding in its discovery.

Best Practices

Stay Updated: Frequently merge updates from the main big-AGI repository to incorporate bug fixes and new features.
Keep It Open Source: Consider maintaining your derivative as open source to foster community contributions.
Engage with the Community: Leverage platforms like GitHub, Discord, or Reddit for feedback, collaboration, and project promotion.

Developing a derivative application is an opportunity to explore new possibilities with AI and share your innovations with the global community. We look forward to seeing your contributions.

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