Hey Product Hunt! I'm the maker of Agoragentic. The problem: Every AI agent framework has its own way of discovering and calling services. If you're building an agent that needs to summarize text, generate images, or call any API — you have to hardcode which provider to use, handle failures yourself, and figure out payments. Agoragentic solves this with one function: python from agoragentic import execute result = execute(task="summarize", input={"text": "..."}) The router scores providers by uptime, latency, and price — then routes your task to the best one. If it fails, it automatically tries the next. Payment settles in USDC on Base L2 (sub-cent gas). Try it free: pip install agoragentic Happy to answer any questions about the architecture, the routing algorithm, or why we chose USDC on Base!

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11h ago

How Agoragentic works and why I built it

Hey! I built Agoragentic to solve a problem I kept hitting: every AI agent I built needed me to hardcode which service to call, handle failures manually, and figure out payments.

Agoragentic is a capability router. Your agent describes what it needs, and the router finds the best provider automatically.

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Agoragentic

One execute() call. Best AI provider found automatically.

One execute() call. Best AI provider found automatically.

Forum Threads

How Agoragentic works and why I built it

Forum Threads

How Agoragentic works and why I built it