zep-us

zep-us / zeude

Public

Enterprise monitoring for Claude Code

zep-us.github.iozeude
76
14
100% credibility
Found Feb 18, 2026 at 38 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Zeude is an enterprise platform that monitors Claude Code usage, centrally manages shared skills and tools, and provides analytics dashboards to boost team AI adoption.

How It Works

1
👥 Join your team's AI helpers

A teammate shares an invite link to boost your coding with shared AI tools and insights.

2
🔑 Claim your spot

Enter your name and email on a simple form to get a personal access code.

3
💻 Add it with one command

Paste the code into your terminal for a quick setup that connects everything.

4
✨ AI gets team smarts

Your coding assistant now pulls in team skills, tools, and tips automatically each time you start.

5
💡 Smart hints appear

While chatting with AI, get friendly nudges like 'Try the Slack tool here!' based on your words.

6
📊 Check your dashboard

Visit the colorful screen to see your stats, efficiency score, and team leaderboard.

🚀 Code better together

Your team uses AI 3x more, shares knowledge easily, and everyone codes smarter and faster.

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Star Growth

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AI-Generated Review

What is zeude?

Zeude is an enterprise monitoring and configuration management platform for Claude Code, turning scattered AI usage into measurable team capability. It wraps the Claude CLI with a transparent shim that captures OpenTelemetry traces for prompt analytics, token costs, and efficiency metrics stored in ClickHouse, while a TypeScript dashboard (Supabase-backed) lets admins centrally deploy MCP servers, hooks, and reusable skills. Developers get auto-synced configs and context-aware nudges like "Try /slack!" on relevant prompts, bridging the intention-action gap without mandates.

Why is it gaining traction?

In the enterprise monitoring market crowded with general tools, zeude specializes in AI dev workflows—tracking cache hits, retries, and context growth to spot waste, plus zero-touch deployment via dashboard APIs that push updates on every claude run. Unlike siloed GitHub Copilot setups, it delivers 3x adoption via data-driven insights and keyword-matched suggestions, appealing to teams eyeing enterprise GitHub Copilot pricing but needing custom monitoring solutions.

Who should use this?

Engineering leads at mid-sized firms rolling out Claude Code across teams, enterprise monitoring specialists auditing AI spend, or devops managing MCP servers centrally. Ideal for orgs with enterprise GitHub accounts integrating AI tools, where devs need guidance on skills without constant retraining.

Verdict

Early but promising for enterprise monitoring of AI code tools—38 stars and 1.0% credibility score signal pioneer territory, with solid docs and Docker setups. Try if scaling Claude Code; skip for production without self-hosting tests.

(198 words)

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