tanviet12

tanviet12 / chat-quality-agent

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Chat Quality Agent - Agent phân tích chất lượng CSKH bằng AI

tanviet12.github.iochat-quality-agent ai-agent facebook-messenger zalo
187
187
100% credibility
Found Mar 26, 2026 at 187 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A self-hosted tool that syncs customer service conversations from Zalo OA and Facebook Messenger, uses AI to evaluate chat quality against custom rules or classify them, and sends notifications via Telegram or email.

How It Works

1
🚀 Install your chat quality checker

Run a simple script to set up everything on your server with Docker.

2
👋 Create your account and company

Sign up once and set up your workspace for monitoring customer chats.

3
🔗 Connect chat channels

Link your Zalo or Facebook Messenger pages to pull in real conversations.

4
📝 Define quality rules

Write simple guidelines like 'greet politely' for AI to check your team.

5
🤖 Run AI analysis

Hit start and watch AI grade chats, spot issues, and classify topics instantly.

6
🔔 Set up alerts

Choose Telegram or email to get notified of problems right away.

📊 Monitor dashboard

See scores, trends, and improvements across your customer service team.

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Star Growth

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AI-Generated Review

What is chat-quality-agent?

Chat Quality Agent is a self-hosted Go app that automates CSKH quality analysis for chats from Zalo OA and Facebook Messenger. It syncs conversations, runs AI-powered scoring (Claude or Gemini) against custom rules for politeness, response time, and completeness, then dashboards violations, scores, and trends. Deploy via Docker or one-line install script—perfect for chat quality monitoring without SaaS fees.

Why is it gaining traction?

Stands out with native Zalo/FB sync, multi-tenant setup for teams, and scheduled jobs that batch-analyze chats cheaply via AI APIs. No vendor lock-in, unlike pricey enterprise tools; devs love the Vue dashboard for quick insights into agent performance and costs. Open-source chat GitHub AI agent hitting 187 stars for real-world chat quality parameters in emerging markets.

Who should use this?

Customer support leads at Vietnamese e-com or retail shops handling Zalo/FB volume, needing chat quality analyst metrics without manual reviews. Ops managers tracking agent KPIs via dashboards and exports. Small teams wanting chat quality standards enforcement before scaling to full QA platforms.

Verdict

Grab it if Zalo/FB chats dominate your workflow—solid niche tool with easy setup and low AI costs. 1.0% credibility score and 187 stars signal early maturity; docs are basic, so expect some tweaking. Promising for chat quality jobs, but production-test first.

(198 words)

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