Examples
For more examples, visit our examples repository.
- Airtable Agent - React to new records and write updates back into Airtable with VoltOps actions.
- Slack Agent - Respond to channel messages and reply via VoltOps Slack actions.
- ChatGPT App With VoltAgent - Deploy VoltAgent over MCP and connect to ChatGPT Apps.
- WhatsApp Order Agent - Build a WhatsApp chatbot that handles food orders through natural conversation. (Source)
- YouTube to Blog Agent - Convert YouTube videos into Markdown blog posts using a supervisor agent with MCP tools. (Source)
- AI Ads Generator Agent - Generate Instagram ads using BrowserBase Stagehand and Google Gemini AI. (Source)
- AI Recipe Generator Agent - Create personalized cooking suggestions based on ingredients and preferences. (Source | )Loading video…0:00 / 0:00
- AI Research Assistant Agent - Multi-agent research workflow for generating comprehensive reports. (Source | )Loading video…0:00 / 0:00
VoltOps Console: LLM Observability - Automation - Deployment
VoltOps Console is the platform side of VoltAgent, providing observability, automation, and deployment so you can monitor and debug agents in production with real-time execution traces, performance metrics, and visual dashboards.
Observability & Tracing
Deep dive into agent execution flow with detailed traces and performance metrics.
Dashboard
Get a comprehensive overview of all your agents, workflows, and system performance metrics.
Logs
Track detailed execution logs for every agent interaction and workflow step.
Memory Management
Inspect and manage agent memory, context, and conversation history.
Traces
Analyze complete execution traces to understand agent behavior and optimize performance.
Prompt Builder
Design, test, and refine prompts directly in the console.
Deployment
Deploy your agents to production with one-click GitHub integration and managed infrastructure.
📖 VoltOps Deploy Documentation
Triggers & Actions
Automate agent workflows with webhooks, schedules, and custom triggers to react to external events.
Monitoring
Monitor agent health, performance metrics, and resource usage across your entire system.
Guardrails
Set up safety boundaries and content filters to ensure agents operate within defined parameters.
Evals
Run evaluation suites to test agent behavior, accuracy, and performance against benchmarks.
RAG (Knowledge Base)
Connect your agents to knowledge sources with built-in retrieval-augmented generation capabilities.
Source captured: 2026-10-11