sunxi1993-a11y

sunxi1993-a11y / AgentTeamsBI

Public

多Agent团队运营看板

19
2
100% credibility
Found Mar 18, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A user-friendly dashboard that monitors AI agent teams in real-time, tracks token usage via calendars, logs tasks, and shows performance stats.

How It Works

1
🔍 Discover the dashboard

You hear about a simple screen to watch your AI helpers work together as a team.

2
📥 Get it on your computer

Download the files and start it with a few easy steps, no tech skills needed.

3
🚀 Watch your team in action

Open your web browser and see all your AI agents' live statuses, rankings, and who's busy or idle.

4
📅 Track daily spending

Check the colorful calendar to see how much 'thinking power' your team used each day.

5
📋 Follow task updates

Review the log of tasks being assigned, worked on, and finished by your team.

✅ Full team oversight

You now have a clear view of your AI team's performance, spending, and progress anytime.

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Star Growth

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AI-Generated Review

What is AgentTeamsBI?

AgentTeamsBI delivers a real-time BI dashboard for multi-agent AI teams built in Python with React frontend. It tracks agent statuses (busy/idle/offline) with rankings, visualizes daily/monthly token usage via color-coded calendars, logs task assignments/progress/completions, and aggregates stats like work volumes and costs. Users get instant ops visibility into agent github action runs, claude/copilot/openai agent github repos without manual log parsing.

Why is it gaining traction?

The imperial "three provinces six ministries" theme turns monitoring into an engaging kanban, with Docker one-command deploys for instant demos. Precise token tracking across agent github copilot intellij, microsoft/openai integrations beats generic dashboards. Python scripts auto-sync from runtimes, delivering live updates without complex setup.

Who should use this?

Python devs managing agent github code swarms or agent github copilot reddit experiments needing cost/task oversight. Suited for indie hackers prototyping agent github claude agents, or small teams running agentteamsbi fleets where token burn and bottlenecks kill margins.

Verdict

Worth forking for agent github repo monitoring – deploys fast via Docker, covers essentials. At 19 stars and 1.0% credibility, it's raw: sparse docs, no tests visible, but functional for Python agent ops today.

(187 words)

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