Self-hosted platform for Claude Agent SDK agents. Container isolation, real-time execution tracking, and Web UI dashboard. Operations teams can deploy and manage AI agents in isolated environments, monitor performance, and integrate with existing workflows.
git clone https://github.com/whiteboardmonk/agcluster-container.gitSelf-hosted platform for Claude Agent SDK agents. Container isolation, real-time execution tracking, and Web UI dashboard. Operations teams can deploy and manage AI agents in isolated environments, monitor performance, and integrate with existing workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/whiteboardmonk/agcluster-containerCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Deploy a new agent cluster for [COMPANY] in the [INDUSTRY] sector. The cluster should use [CONTAINER_TECHNOLOGY] for isolation and include real-time execution tracking. Provide a Web UI dashboard for monitoring. Include [SPECIFIC_AGENT_NAMES] as initial agents.
# Agent Cluster Deployment Summary ## Cluster Configuration - **Company**: GreenTech Innovations - **Industry**: Renewable Energy - **Container Technology**: Docker - **Initial Agents**: EnergyForecastAgent, SupplyChainOptimizer ## Deployment Details - **Cluster Name**: GreenTech-Agents - **Nodes**: 5 - **CPU Allocation**: 4 cores per node - **Memory Allocation**: 16GB per node ## Real-Time Tracking - **Execution Metrics**: Latency, Throughput, Error Rates - **Alert Thresholds**: Configured for critical failures ## Web UI Dashboard - **Access URL**: `https://agents.greentech.com/dashboard` - **Features**: Agent Status, Performance Metrics, Logs ## Next Steps 1. Verify agent deployment 2. Configure additional monitoring as needed 3. Schedule regular performance reviews
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