Autonomous monitoring, diagnostics, and remediation — your infrastructure stays healthy without constant human attention.
Proactive system care that catches issues before they become problems.
CPU, memory, disk, and network tracked 24/7. Anomaly detection catches problems before they escalate.
Deep system analysis with actionable recommendations. Know exactly what needs attention and why.
Configurable automatic fixes. Set it and forget it — or review every action before it runs.
Severity-based alerts with multi-channel delivery. Get paged for critical issues, emailed for warnings.
Beautiful web dashboard with live metrics, charts, and system health at a glance. Dark mode included.
Automated log rotation, disk cleanup, security scans, and backups. CI/CD via GitHub Actions.
Multi-chain portfolio tracking, PnL monitoring, and token search powered by Bankr. All in the dashboard.
Three steps to never worrying about routine maintenance again.
Install via npm, configure your environment, and start the agent. Works on any Node.js server.
System metrics are collected every 30s. The diagnostic engine builds a baseline of normal behavior.
Issues are detected, diagnosed, and remediated automatically. You get a daily report via dashboard.
Watch the dashboard live — monitoring, diagnostics, and AI-powered chat in under 2 minutes.
A modular agent architecture that monitors, diagnoses, and remediates — all with configurable safety boundaries.
Collects CPU, memory, disk, and network metrics every 30s. Detects anomalies against configurable thresholds.
Analyzes metrics against baselines, identifies root causes, and recommends remediation actions.
Executes fixes with configurable safety — auto-approve, require approval, or dry-run only for destructive actions.
From Node.js orchestration to AI-powered multi-agent systems.
Core agent orchestration, monitoring loops, and event-driven architecture.
Dashboard server, REST API endpoints, and WebSocket streaming.
Multi-agent AI orchestration — Senior Researcher, Coder, and Reviewer agents working together.
Real-time interactive charts for system metrics, health scores, and performance analytics.
CI/CD pipeline runs daily maintenance at 3 AM UTC. Automated tests and deployment.
Serverless Flask deployment with Python runtime. Global edge network for low-latency API access.
One command to start monitoring. A few more to unlock the full stack.
Dashboard at http://localhost:8080
Set AUTO_REMEDIATION=false for read-only mode
AutoMend is open source and free to use. Contributions, issues, and stars are welcome.
Star the repo, open issues, submit PRs. All contributions are valued.
github.com/kenGucci/automatic-maintenance →Follow for updates, release notes, and community highlights.
@Auto_Mend →Free to use, modify, and distribute. Open source from day one.
Fully permissive licenseThree specialized AI agents working together to keep your systems healthy.
Researches deployment processes, best practices, and emerging patterns. Keeps your infra current.
Writes and fixes maintenance code on the fly. Patches vulnerabilities and optimizes performance.
Reviews all code changes for bugs, security issues, and style violations before deployment.
Everything you need to know about AutoMend.
AUTO_REMEDIATION=false), dry-run sandboxing, an audit trail, and rollback capability. You control the safety boundaries.Deploy the agent in one command, then watch the dashboard light up. No credit card required.