zz-air

zz-air / AI-Conversational-Application-Service-Platform

Public

Supports AI dialogue and allows secondary development

14
0
69% credibility
Found Mar 30, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

A full-featured web app for AI conversations with multi-session management, model switching, web search, image recognition, and a polished user interface.

How It Works

1
👀 Discover the AI Chat Room

You find this cozy online space for talking to smart AI helpers that remember conversations and recognize pictures.

2
📧 Sign Up Easily

Enter your email, get a quick code sent to you, and create your personal spot in seconds.

3
🔑 Log In and Welcome

Use your details to step inside your dashboard, feeling right at home with a beautiful welcome screen.

4
📱 Pick Your Adventure

Choose between chatting with AI or uploading pictures to see what they are.

5
💬 Chat Like a Friend

Start a new talk, switch smart helpers, turn on web lookups for fresh info, and watch replies stream in real-time.

6
🖼️ Spot Pictures Instantly

Drag in a photo and get a clear label of what's in it, added right to your chat history.

7
📂 Organize Your Talks

Switch between saved conversations, rename them, or start fresh ones anytime.

🎉 Your AI Buddy Awaits

Now you have a personal AI companion for endless chats, picture insights, and organized thoughts, all in one welcoming place.

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AI-Generated Review

What is AI-Conversational-Application-Service-Platform?

This Go-based full-stack platform delivers a ready-to-run conversational AI service with user auth, multi-session chats, and Vue frontend for seamless dialogue management. Users get persistent chat history, model switching between OpenAI-compatible APIs and local Ollama, streaming responses, optional web search, and image recognition uploads—all configurable via TOML and deployable as a single app. It solves the hassle of bootstrapping a production AI chat app by bundling MySQL persistence, Redis caching, and RabbitMQ queuing into one package that supports secondary development.

Why is it gaining traction?

It stands out with built-in multimodal support—like image recognition via ONNX and web search integration—that most basic chat wrappers lack, plus self-hosted LLM options to dodge API costs. Devs dig the clean API endpoints for session CRUD, chat streaming, and auth (email captcha login), making it dead simple to extend or integrate. The Vue UI handles responsive session lists and real-time updates out of the box, hooking those tired of stitching together disparate tools.

Who should use this?

Backend devs prototyping internal AI assistants or custom bots needing user sessions and persistence. Indie hackers building SaaS chat features without vendor lock-in. Teams evaluating local LLMs like Ollama alongside cloud models for multilingual dialogue apps.

Verdict

Solid starter for secondary development in Go—fork it for quick wins on conversational services—but with only 14 stars and 0.7% credibility score, expect to add tests and polish docs before prod. Grab if you want a feature-packed base over bare Gin routers. (198 words)

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