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
👋 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!