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
This is brilliant @omeraplak & @necatiozmen . Looking at other agentic products (mainly coding agents) I have explored last few months, VoltAgent is bringing lots of disruptive thoughts ahead of their time. This is tremendous! 👏👏👏
Do you have plans to add features for defining custom providers for offline models run locally. For example, like for models running in LM Studio ?
Voltagent a smart tool platform to increase productivity! congratulations and have a great success with the team...
I plugged in my own LLM setup and everything worked smoothly. nice to not be tied to a single provider.
Awesome! Finally seeing a TS AI agent in open source! Really looking forward to future updates.
Huge congrats on the launch, Omer & team! VoltAgent looks like a game-changer for devs building serious AI agents. Love the open-source spirit and that sweet combo of flexibility + visual debugging.
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 looks like a smart tool for boosting productivity! Wishing you great success with the launch!
👋 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!