What is RunAIAgents?

RunAIAgents is a self-serve studio for building, running, and observing autonomous AI agents. You design your own agents, wire the tools they can use, and watch exactly what they do at every step.

Who it's for

RunAIAgents is built for teams and individual developers who want to ship an AI agent that does real work — calling APIs, searching a knowledge base, acting on a connected service — without standing up their own agent infrastructure. You bring the model keys (or use platform credits), describe or wire the agent, and RunAIAgents runs it, meters it, and shows you the trace.

The mental model

There are three things to hold in your head:

1. You build the agent. Use the conversational builder to describe what you want in chat, or the canvas builder to wire nodes and tools by hand on a React Flow graph.
2. It runs on an agentic tool-calling loop. A run is not a single model call — it's a bounded, multi-turn loop. The model picks a tool, the tool's arguments are validated against a JSON Schema, the tool executes (or, if it's destructive, waits for your approval), and the result goes back to the model for the next step. This repeats up to a fixed step limit.
3. You observe every step. Every run records a full execution trace — each tool called, its arguments, and its output — streamed live and browsable after the fact.

What makes it distinctive

• BYOK and BYOC. Bring your own OpenAI or Anthropic key and runs bypass platform metering entirely — you pay the provider directly. Or bring your own cloud and deploy a released agent version onto infrastructure you control.
• A real conversational builder. Instead of hand-wiring a graph from scratch, describe the agent you want and the builder configures nodes and tools for you. You can still drop into the canvas to refine anything by hand.
• A full execution trace, not a black box. Every tool call, argument, and output is recorded and streamed, so you can see exactly why an agent did what it did — and get an optional LLM narration of a run, or a diagnosis when one fails.
• Real guardrails. Destructive tool calls hit an approval gate before they execute, the agent's system prompt enforces refusing rather than guessing, and code execution runs in sandboxed isolates with no host filesystem or network access.

Ready to build one? Head to the quickstart.