DEEIX-AI

DEEIX-AI / DEEIX-Chat

Public

An enterprise AI workspace for model routing, multimodal chat, files, tools, billing, identity, and operations.

88
9
85% credibility
Found May 22, 2026 at 110 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Go
AI Summary

DEEIX Chat is an enterprise AI workspace that lets teams collaborate with multiple AI models simultaneously. It provides a unified chat interface where users can switch between different AI providers (OpenAI, Anthropic, Google, xAI, and others), handle files and documents, use AI-powered tools, and track usage and billing. The system includes robust security features like two-factor authentication, role-based access control, and encrypted data storage. It's designed for organizations that want to give their teams easy access to various AI capabilities while maintaining control over costs and security.

How It Works

1
💬 You hear about DEEIX Chat

A colleague mentions this enterprise AI workspace where teams can collaborate with multiple AI models in one place.

2
🚀 You launch your workspace

With just a few commands, you get your own AI assistant up and running on your server or in the cloud.

3
🔐 You create your first account

You sign up with your email, set a secure password, and optionally enable two-step verification to protect your account.

4
🔌 You connect your AI models

As an administrator, you set up connections to different AI providers like OpenAI, Anthropic, or Google so your team can choose which model to use.

5
💭 Your team starts chatting with AI

Everyone opens the chat window, picks their favorite AI model, and has rich conversations with images, files, and documents all in one place.

6
You explore what else you can do
📄
Upload files and ask questions

You drag in a PDF report and ask the AI to summarize it, extract key numbers, or compare it with other data.

🔧
Build custom AI tools

You connect a tool catalog so the AI can look up information from your database or interact with your internal systems.

7
📊 You monitor usage and costs

The built-in dashboard shows you how much each team member is using AI, with clear pricing so you stay on budget.

Your team works smarter together

Everyone has a unified place to brainstorm with AI, share conversation threads, and get consistent results across projects.

Sign up to see the full architecture

6 more

Sign Up Free

Star Growth

See how this repo grew from 110 to 88 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is DEEIX-Chat?

DEEIX-Chat is an enterprise AI workspace built in Go with a Next.js frontend. It gives teams a unified hub for working with multiple AI models and providers simultaneously. The platform handles model routing, multimodal conversations, file processing with RAG capabilities, MCP tool integration, usage billing, and enterprise identity management all in one place. Think of it as a control plane for AI that your entire team shares instead of everyone managing their own API keys.

The backend runs as a single Go service that can serve the frontend statically, while the admin console lets you configure upstream channels, pricing, routing priorities, and user policies without touching infrastructure code.

Why is it gaining traction?

The hook is the model routing layer. Instead of hardcoding which model handles which task, you configure route bindings with priority and weight-based distribution. This matters for teams running mixed provider setups who want cost optimization without rewriting integrations.

The billing system is surprisingly complete for an open source project. It handles subscription plans, prepaid balances, tiered pricing per model, and integrates with Stripe and EPay for payments. If you need to charge end users or track internal spend across models, you get that out of the box rather than building it yourself.

The MCP tool support is another differentiator. Admin-managed MCP servers with per-tool enablement and execution controls means you can wire up external capabilities without exposing them to all users by default.

Who should use this?

Development teams running multiple AI providers who want centralized cost tracking and routing logic. SaaS operators needing to offer AI chat features with built-in billing and user management. Organizations with SSO requirements who need enterprise identity controls without rolling their own auth layer.

If you just want a simple chat UI for one model, this is overkill. But if you're building a multi-tenant AI platform or managing a team that burns through API credits across different providers, the routing and billing features alone justify evaluation.

Verdict

DEEIX-Chat is a legitimate option for teams that need model routing with billing built in, though the 88-star count and recent activity suggest it's early-stage. The documentation is thorough and the feature set is enterprise-grade in scope, but real-world production hardening is unknown. The 0.85% credibility score reflects a young project with limited community signal. Worth a proof-of-concept if your requirements map to the routing and billing features, but budget time for evaluating operational maturity before committing to production use.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.