Trace, debug, and monitor AI agents apps in n8n-style
VoltOps is a developer-first observability platform for AI agents. Built to trace, debug, and monitor agent workflows with full context. Gain complete visibility into your AI systems with structured traces, rich logs, and an n8n-style visual interface.
👋 Hey Product Hunt, I’m Omer, co-creator of VoltOps.
We’re the team behind VoltAgent, and today we’re excited to launch VoltOps. A framework-agnostic observability and monitoring infrastructure for AI agents & LLM apps.
🎯 Why did we build this?
After building AI agents with VoltAgent and other frameworks, we kept running into the same problem: we had little visibility into what was happening inside the agents.
Traditional observability tools were built for web apps not for AI agents running long chains of thought, RAG pipelines, or tool calls. So we built VoltOps to give AI teams clear, visual insight into their agents' inner workings.
⚙️ What does VoltOps do?
VoltOps adds real observability to your AI stack: • Trace and debug every agent step, like thoughts, tools, and memory reads • View live logs and context-aware metrics • View dashboards your team can actually understand
VoltOps is framework-agnostic, it can be used with or without VoltAgent.
Supported Framework Integrations: • VoltAgent • Vercel AI SDK
Available SDKs: • JavaScript/TypeScript SDK • Python SDK
✨ What makes it special? • Designed specifically for AI agents, not generic app telemetry • Natively supports multi-step chains, tools, thoughts, memory • Lightweight, easy to drop in
We’d love to hear what you think, feel free to comment, try it out, or share what observability features you wish existed for agents!
About VoltOps on Product Hunt
“Trace, debug, and monitor AI agents apps in n8n-style”
VoltOps launched on Product Hunt on July 1st, 2025 and earned 118 upvotes and 6 comments, placing #16 on the daily leaderboard. VoltOps is a developer-first observability platform for AI agents. Built to trace, debug, and monitor agent workflows with full context. Gain complete visibility into your AI systems with structured traces, rich logs, and an n8n-style visual interface.
On the analytics side, VoltOps competes within Developer Tools, Artificial Intelligence, GitHub and Data & Analytics — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how VoltOps performed against the three products that launched closest to it on the same day.
Who hunted VoltOps?
VoltOps was hunted by Omer Aplak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of VoltOps including community comment highlights and product details, visit the product overview.
Omer Aplak
👋 Hey Product Hunt, I’m Omer, co-creator of VoltOps.
We’re the team behind VoltAgent, and today we’re excited to launch VoltOps. A framework-agnostic observability and monitoring infrastructure for AI agents & LLM apps.
🎯 Why did we build this?
After building AI agents with VoltAgent and other frameworks, we kept running into the same problem: we had little visibility into what was happening inside the agents.
Traditional observability tools were built for web apps not for AI agents running long chains of thought, RAG pipelines, or tool calls. So we built VoltOps to give AI teams clear, visual insight into their agents' inner workings.
⚙️ What does VoltOps do?
VoltOps adds real observability to your AI stack:
• Trace and debug every agent step, like thoughts, tools, and memory reads
• View live logs and context-aware metrics
• View dashboards your team can actually understand
VoltOps is framework-agnostic, it can be used with or without VoltAgent.
Supported Framework Integrations:
• VoltAgent
• Vercel AI SDK
Available SDKs:
• JavaScript/TypeScript SDK
• Python SDK
✨ What makes it special?
• Designed specifically for AI agents, not generic app telemetry
• Natively supports multi-step chains, tools, thoughts, memory
• Lightweight, easy to drop in
📌 Check it out here: https://github.com/VoltAgent/vol...
📍 Live demo: https://console.voltagent.dev/demo
📎 Docs: https://voltagent.dev/voltops-ll...
👋 Discord: https://s.voltagent.dev/discord
We’d love to hear what you think, feel free to comment, try it out, or share what observability features you wish existed for agents!