PawFlow

Self-hosted AI agents and executable flows

4 followers

Self-hosted AI agents and executable flows

4 followers

PawFlow is a self-hosted runtime for AI agents and executable flows. It lets you wire agents, tools, files, relays, services, memory, conversations, and workflows together while keeping tool calls, provider calls, token usage, and failures visible.

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

Launch Team

Render: Get up to $100K in startup creditsThe fastest way to deploy and scale apps and agents

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Maker

📌

Hi Product Hunt, I’m Quentin, solo builder of PawFlow. I built PawFlow because most agent tools feel like black boxes. They call tools, spend tokens, touch files, fail silently, or get stuck, and you only see the result at the end. PawFlow is built around the opposite idea: agents, tools, files, relays, services, memory, conversations, and workflows should be visible, traceable, and composable. It is inspired by Apache NiFi, but built for AI agents. I’d love feedback from builders working with agents, automation, self-hosting, and developer tools.

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4mo ago

How does the self-hosted setup handle scaling when agent workloads spike, and is there any built-in observability for token usage across providers or do I need to wire that up myself?

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4mo ago

The self-hosted setup was smoother than I expected, and being able to watch token usage and tool calls live made debugging way less painful.

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4mo ago

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