VoltAgent is an open source TypeScript framework for building and orchestrating AI agents, with built-in observability. Escape the limitations of no-code builders and the complexity of starting from scratch.
We’re the team behind VoltAgent, an open-source TypeScript framework for building and orchestrating AI agents, with visual debugging built in.
🚧 Why did we build this?
We were building an AI app ourselves. At first, we tried existing frameworks and no-code tools.
No-code tools like n8n made agent flows easy to understand visually. But we quickly ran into limitations: lack of deep customization, difficulty adding complex logic, and that locked-in feeling.
So we switched to code-based frameworks. While we got flexibility back, we lost the clear visibility into what the agent was doing. AIOps tools like LangFuse helped, but they didn’t give us a real step-by-step view of how the agent was thinking.
We wanted both: code flexibility and n8n-style visual debugging.
⚡ What does VoltAgent do?
VoltAgent gives you the core building blocks to create powerful AI agents, including: • Agent and tool definitions • Memory and state management • LLM-agnostic architecture • Multi-agent orchestration
It also comes with a visual console. You can connect it to your agent and see each step of execution, including thoughts, tool usage, and message history.
🌟 What makes it special?
• TypeScript-first: Built for developers who want full control • Visual observability: Like n8n, but made for debugging AI agents • Modular by default: Bring your own LLMs, memory, and tools • Open source: MIT-licensed and easy to extend
We’re building in public and would love to hear what you think. Let us know if you try it or if there’s anything you’d like to see next!
About VoltAgent on Product Hunt
“Build TS AI agents with n8n-style observability”
VoltAgent launched on Product Hunt on May 12th, 2025 and earned 169 upvotes and 24 comments, placing #10 on the daily leaderboard. VoltAgent is an open source TypeScript framework for building and orchestrating AI agents, with built-in observability. Escape the limitations of no-code builders and the complexity of starting from scratch.
On the analytics side, VoltAgent competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how VoltAgent performed against the three products that launched closest to it on the same day.
Who hunted VoltAgent?
VoltAgent 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 VoltAgent including community comment highlights and product details, visit the product overview.
Omer Aplak
👋 Hey Product Hunt, I’m Omer, CEO of VoltAgent.
We’re the team behind VoltAgent, an open-source TypeScript framework for building and orchestrating AI agents, with visual debugging built in.
🚧 Why did we build this?
We were building an AI app ourselves.
At first, we tried existing frameworks and no-code tools.
No-code tools like n8n made agent flows easy to understand visually. But we quickly ran into limitations: lack of deep customization, difficulty adding complex logic, and that locked-in feeling.
So we switched to code-based frameworks. While we got flexibility back, we lost the clear visibility into what the agent was doing. AIOps tools like LangFuse helped, but they didn’t give us a real step-by-step view of how the agent was thinking.
We wanted both: code flexibility and n8n-style visual debugging.
⚡ What does VoltAgent do?
VoltAgent gives you the core building blocks to create powerful AI agents, including:
• Agent and tool definitions
• Memory and state management
• LLM-agnostic architecture
• Multi-agent orchestration
It also comes with a visual console. You can connect it to your agent and see each step of execution, including thoughts, tool usage, and message history.
🌟 What makes it special?
• TypeScript-first: Built for developers who want full control
• Visual observability: Like n8n, but made for debugging AI agents
• Modular by default: Bring your own LLMs, memory, and tools
• Open source: MIT-licensed and easy to extend
📌 Check it out here: https://github.com/voltagent/voltagent
🛣 Public roadmap: https://github.com/orgs/VoltAgent/projects/1
We’re building in public and would love to hear what you think. Let us know if you try it or if there’s anything you’d like to see next!