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// the agent control plane

Ship autonomous AI agents to production.

RunAIAgents is the control plane for building, running, and observing AI agents. Bring your own cloud and your own keys, design agents by conversation, and trace every step a run takes.

BYOC + BYOK · works with OpenAI & Anthropic · full execution traces

Works with

OpenAI & Anthropic

Your keys

BYOK — bring your own keys

Your cloud

BYOC from Growth up

Data residency

Stays in your account

// capabilities

Everything an agent needs to reach production

RunAIAgents covers the full lifecycle — from describing an agent in plain language to running it in your own cloud and debugging it from a complete trace.

BYOC + BYOK

Run agents in your own cloud account and call models with your own provider keys. Your data and your spend never leave infrastructure you control.

Conversational builder

Describe the agent you want in plain language. The builder turns intent into a working configuration you can refine — no YAML archaeology required.

Visual agent canvas

See the whole agent as a graph: orchestrator, sub-agents, tools, and channels. Rewire connections directly and understand behavior at a glance.

Five trigger types

Start runs from a schedule, a webhook, an inbound email, an embedded chat, or a manual call. One agent, many ways to invoke it.

Execution history & debugger

Every run is recorded step by step — inputs, tool calls, model responses, and outcomes. Replay a failure and see exactly where it diverged.

Privacy-first monitoring

Watch latency, cost, and error rates without shipping prompt contents to a third party. Observability that respects the data inside the trace.

Marketplace

Start from a proven template or publish your own. Reuse battle-tested agent blueprints instead of building every workflow from zero.

// execution trace

From idea to observable agent in five steps

Not a marketing funnel — the actual sequence you follow on the platform, numbered like a run trace.

  1. 01

    Describe the agent

    Tell the conversational builder what the agent should do. It drafts the orchestration, tools, and triggers for you to review.

  2. 02

    Connect cloud & keys

    Point the agent at your own cloud and bring your own model keys. Nothing runs on infrastructure you can't audit.

  3. 03

    Test on the canvas

    Run the agent against real inputs in the visual canvas. Watch each node fire and inspect the streaming trace live.

  4. 04

    Deploy with a trigger

    Wire up a schedule, webhook, email, embed, or manual call. The agent goes live the moment you confirm.

  5. 05

    Observe & debug

    Execution history captures every step. When something breaks, replay the run and jump straight to the failing node.

// pricing

Managed hosting that scales with your runs

Five tiers, billed by included monthly requests and runtime. Bring your own cloud from Growth up.

Free

Kick the tires on shared infrastructure.

$0/mo

500 requests / mo

Starter

Multiple agents with custom domains.

$49/mo

25,000 requests / mo

Scale

High-volume with a 99.9% SLA.

$349/mo

500,000 requests / mo

// faq

Questions, answered

What does “bring your own cloud” actually mean?
You connect your own cloud account and RunAIAgents provisions agent runtimes there. Compute, storage, and network egress stay inside your account, under your security controls and your billing relationship — not ours.
Which model providers do you support?
RunAIAgents works with OpenAI and Anthropic models today, called with your own API keys (BYOK). You choose the model per agent and your provider invoices you directly for usage.
How is pricing structured?
Managed hosting is billed in five tiers — Free, Nano, Starter, Growth, and Scale — by included monthly requests and runtime resources. Platform subscription and a 30% marketplace revenue share are part of the broader business model; contact us for details on those.
Can I see what an agent did on a given run?
Yes. Execution history records every step of every run: the trigger, inputs, each tool call, model responses, and the final outcome. You can replay a run to debug exactly where it went wrong.
Is RunAIAgents suitable for regulated or GCC environments?
BYOC + BYOK mean data residency and key custody stay with you, which is what most regulated and GCC deployments require. Talk to us about your specific compliance posture before you commit.

Put your first agent in production

Start free on shared infrastructure, then bring your own cloud and keys when you scale. No credit card to begin.

RunAIAgents — Ship autonomous AI agents to production