SynkraAI

AIOS Dashboard

23
22
89% credibility
Found Feb 20, 2026 at 11 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web-based visual dashboard for monitoring AIOS development projects in real-time, displaying Kanban boards for stories, agent status, squads, and Claude Code events.

How It Works

1
📂 Add to your project

Place the dashboard folder inside your AI development project so it can see your stories, agents, and squads.

2
🔧 Set it up quickly

Follow simple steps to prepare it for watching your work, like gathering the pieces it needs.

3
▶️ Start the viewer

Turn on the live watcher and open your web browser to see the dashboard.

4
👀 Watch everything live

See your Kanban board with stories you can drag, active agents, squads, and real-time events from your AI tools.

5
🔌 Connect for full updates (optional)

Link it deeper to your AI assistant for instant event streaming like tool use and prompts.

🎉 Total project visibility

Enjoy a clear, real-time overview of your AI team's progress, stories, and activity across Kanban, monitors, and more.

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AI-Generated Review

What is aios-dashboard?

AIOS Dashboard is a TypeScript web app that provides real-time observability for projects built with the AIOS framework from SynkraAI/aios-core on GitHub. It scans your AIOS setup to display Kanban boards for stories with drag-and-drop, live event feeds from Claude Code tools and prompts, agent status lists, squad organograms, and Bob orchestrator pipelines—all without controlling the CLI. Run it via Next.js alongside a Bun event server after cloning into your project's apps folder.

Why is it gaining traction?

It bridges the gap between AIOS's CLI-first agent workflows and visual oversight, letting you track multi-agent executions, GitHub PRs/issues, and QA metrics in one spot. Real-time WebSocket streams and hooks capture tool calls, errors, and subagent stops, surfacing what's happening in Claude sessions. Developers dig the no-setup observability for squads and stories, especially with drag-and-drop Kanban on filesystem-backed markdown files.

Who should use this?

AIOS users running agent squads for dev, QA, or architecture tasks who want a glanceable view of story progress and live activity. Teams orchestrating Bob pipelines or managing Claude Code hooks will value the monitor feed and GitHub panels. Solo devs prototyping AI workflows need it to debug agent handoffs without digging through logs.

Verdict

Grab it if you're in the AIOS ecosystem—solid docs and TypeScript setup make early adoption straightforward despite 11 stars and early development phase. Credibility score of 0.9% reflects its niche freshness, but expect rough edges; contribute via issues for stability.

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