opsrobot-observability

opsrobot-observability / openclaw-observability-platform

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Observability platform for OpenClaw agents, providing real-time tracing, session insights, and cost analysis for multi-agent workflows.

19
2
100% credibility
Found Apr 03, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A web dashboard that monitors AI agent sessions for performance, security audits, cost breakdowns, and full traces using log data.

How It Works

1
🔍 Discover the tool

You hear about a helpful dashboard that watches your AI assistants to spot issues, track costs, and ensure security.

2
🚀 Launch the dashboard

With one simple click, you start up the monitoring system right on your computer.

3
🔗 Connect your AI assistants

You point the dashboard to where your AI agents save their activity notes, so it can start learning from them.

4
📊 See everything at a glance

The colorful screens light up with charts showing costs, risks, and agent performance, making problems easy to spot.

5
🔍 Dive into details

Click on a busy agent or risky session to explore timelines, chats, and what went right or wrong.

✅ Gain full control

Now you have clear insights to fix issues, cut costs, and keep your AI business running smoothly and safely.

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Star Growth

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AI-Generated Review

What is openclaw-observability-platform?

This JavaScript-based observability platform monitors OpenClaw AI agents, delivering real-time tracing, session insights, and cost analysis for multi-agent workflows. It turns black-box agent executions into transparent dashboards via a React web UI, pulling data through OTel protocols for full-link visibility. Users get quick Docker Compose spins up at localhost:3000, covering security audits, config changes, and LLM token breakdowns—ideal for ai observability github setups.

Why is it gaining traction?

In the observability platform open source space, it stands out with agent-specific views like per-session token costs and risk scoring, skipping generic tools' bloat. The one-command Docker deploy and OTel+eBPF data ingestion make it a fast observability demo github win for OpenClaw users, while cost ROI charts appeal amid rising observability platforms 2025 demands. Compared to broader observability platforms gartner quadrant picks, it's laser-focused on agents analysis without steep setup.

Who should use this?

DevOps engineers running OpenClaw fleets for production tracing and compliance audits. AI platform teams tracking multi-agent costs and security risks, especially those eyeing network observability github integrations. Ops leads in observability engineering github workflows needing quick session audits over heavyweight observability platform azure alternatives.

Verdict

Grab it if you're deep in OpenClaw—solid for observability tools github niches, with intuitive UIs and Apache-licensed extensibility. At 19 stars and 1.0% credibility, it's early (thin docs, no tests shown), so treat as a starter for custom observability platform architecture rather than enterprise-ready.

(198 words)

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