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
as a big n8n fan, i've honestly been looking for a long time for a solution where i could have the flexibility to write agents almost like writing code on frameworks like langchain.
when i first saw Volt, it looked really impressive at first glance. and after diving into the details, i was even more satisfied.
I think the lack of visual observability is one of the biggest shortcomings in the current "agent era," and they are clearly addressing this.
I really hope they achieve long-lasting success and continue contributing to open source. btw quite curious to see how their revenue model will take shape, mainly because I want it to be sustainable long-term, so the guys behind it can actually make money and keep going
We’re planning to roll out an open-core model in the coming days. The open source core part will always stay, that’s a main value for us but to keep things sustainable. we’ll be monetizing some advanced enterprise features on observability side.(as you said this is what helps open source projects stay alive)
VoltAgent: OpenSource AI Agent Framework
👋 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!
CastRecap
VoltAgent: OpenSource AI Agent Framework
@divyansh_tiwari7 Thank you so much.
Thinkbuddy AI
as a big n8n fan, i've honestly been looking for a long time for a solution where i could have the flexibility to write agents almost like writing code on frameworks like langchain.
when i first saw Volt, it looked really impressive at first glance. and after diving into the details, i was even more satisfied.
I think the lack of visual observability is one of the biggest shortcomings in the current "agent era," and they are clearly addressing this.
I really hope they achieve long-lasting success and continue contributing to open source. btw quite curious to see how their revenue model will take shape, mainly because I want it to be sustainable long-term, so the guys behind it can actually make money and keep going
VoltAgent: OpenSource AI Agent Framework
@yigitkonur
Thanks so much for the motivating feedback! 🙌
We’re planning to roll out an open-core model in the coming days. The open source core part will always stay, that’s a main value for us but to keep things sustainable.
we’ll be monetizing some advanced enterprise features on observability side.(as you said this is what helps open source projects stay alive)
Appreciate the support. It really means a lot. 💛