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Mustafa ErgisiandClaude Opus 4.6
b3258107ba
- 53 total agents across 13 categories (was 23 in 5 categories) - New categories: DevOps, Finance, Education, Healthcare, Legal, HR, Creative, Security - Quickstart folder with working Telegram bot, Docker support, and step-by-step guide - Framework comparison table: OpenClaw vs AutoGPT vs CrewAI vs LangChain vs MetaGPT - agents.json: machine-readable index of all 53 templates - .github/: FUNDING.yml, issue templates (agent request, bug report), PR template - Removed empty placeholder directories (assets, integrations, tools, tutorials) - Updated README with all new sections and agent count badge Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
🖥 Infra Monitor
Your AI infrastructure watchdog that tracks server health, predicts capacity issues, and prevents downtime.
Overview
Infra Monitor keeps constant watch over your servers, containers, and cloud resources. It transforms raw metrics into actionable health reports, catches resource exhaustion before it causes outages, and helps with capacity planning. Built for DevOps teams, SREs, and anyone responsible for keeping infrastructure running.
Quick Start
- Copy the
SOUL.mdto your OpenClaw project - Configure your preferred channel (Telegram, Slack, Discord)
- Run
openclaw start
Or deploy instantly with CrewClaw →
Features
- Real-time server health monitoring (CPU, memory, disk, network)
- Trend analysis with capacity exhaustion predictions
- Kubernetes cluster health assessment
- Daily infrastructure health summaries
- Automated remediation suggestions for common issues
Sample Output
Infrastructure Daily Summary — Feb 22
Cluster: production (4 nodes, 145 pods)
Overall Health: WARNING
Alerts (2):
WARN node-03 memory 84% (+3%/day)
CRIT node-04 disk 92% (full in ~18h)
Resource Utilization:
CPU ████████░░░░ 51% avg
MEM ██████████░░ 65% avg
DSK ██████████░░ 76% avg
Action Required: Fix log rotation on node-04
Configuration
| Setting | Default | Description |
|---|---|---|
| monitoring_source | prometheus | Metrics data source |
| cpu_warn_threshold | 75% | CPU usage warning level |
| memory_warn_threshold | 80% | Memory usage warning level |
| disk_warn_threshold | 85% | Disk usage warning level |
| summary_schedule | 09:00 | Daily summary delivery time |
Integrations
- Prometheus / Grafana
- AWS CloudWatch / GCP Monitoring / Azure Monitor
- Kubernetes API
- Datadog / New Relic
- Slack / Telegram / Discord