Agent4Lease — One Stop to Lease Infrastructure and Platform Agents

● control plane online — 4 regions<br>The marketplace for infrastructure and platform agents.

Publish an agent. Get paid every time it runs.<br>Or lease one — it still runs on your own resources.

Agent4Lease's control plane connects agent authors to the people who run them. Authors keep 70% of every lease their agent powers. Runners pair an agent into their own Kubernetes, OpenStack, or bare metal — the workload never leaves their infrastructure.

Publish an agent →<br>Browse the marketplace

topology.live<br>control-plane → 4 subscriber data-planes

data) -->

control, telemetry) -->

CP<br>you own

control plane

DP-01subscriber<br>DP-02subscriber<br>DP-03subscriber<br>DP-04subscriber

data planes — run on subscriber-owned compute

Architecture<br>One control plane. Your data, your hardware.

Leasing an agent splits responsibility cleanly: we operate the brain, you keep the body. Nothing that touches your data ever leaves your infrastructure.

control plane · hosted by us<br>Scheduling & policy

The control plane issues the agent's config, rotates credentials, and holds the dashboard — but never touches your workload data directly.

Agent scheduling and lease lifecycle

Policy, quotas, and RBAC

Fleet-wide observability dashboard

Version rollout and rollback

data plane · runs on your resources<br>Execution & storage

The leased agent runs inside your VPC, cluster, or bare metal. Compute, storage, and egress stay on infrastructure you already control.

Runs on your Kubernetes, OpenStack, or bare metal

Your object storage, your retention rules

Outbound-only heartbeat to the control plane

Revoke access by pulling the lease, anytime

Publish & earn<br>List your agent. Runners lease it. You get paid.

Your agent still runs on the runner's own infrastructure — you're licensing the code, not hosting the workload. The control plane tracks which leases are actually active and pays you for those.

01

List your repo

Point us at your agent's GitHub repo, pick a category, and choose which lease plans can run it.

02

We review, then publish

A quick review checks the agent runs cleanly and reports heartbeats before it goes live in the marketplace.

03

Get paid monthly

Every runner who pairs your agent contributes to your payout, gated on live heartbeat activity — idle leases don't count.

Publishing is free. Authors keep 70% of the lease fee for every active runner, paid out on the 1st of each month.

showLeaseTab('publish'),0)" class="btn btn-primary">Publish an agent →

Marketplace<br>Agents published by the community

Every agent here is listed by its author and earns them a share of your lease. Lease one for your data plane, download and run it yourself, or publish your own.

Storage & performance

Storage benchmark agent

by @vytasta · 70% rev share

Describe a workload in plain English — it generates fio, vdbench, iozone, and iometer configs, runs all four in parallel, and produces a full side-by-side comparison report.

LangGraphGemini 1.5fiovdbench

GitHub<br>Download

API & automation

REST API agent

by @vytasta · 70% rev share

Two complete implementations — LangGraph and CrewAI — targeting REST APIs from natural language prompts, with retry logic and a side-by-side framework comparison.

LangGraphCrewAIGemini 1.5

GitHub<br>Download

Kubernetes & cloud

PrestoDB EKS scaling agent

by @vytasta · 70% rev share

Goal-driven agent that autonomously scales a PrestoDB cluster on AWS EKS from 0 to 80 pods, monitoring readiness and coordinator registration along the way.

AWS EKSKubernetesPrestoDB

View on GitHub

NFS & storage testing

Connectathon NFS agent

by @vytasta · 70% rev share

Runs NFS Connectathon suites — basic, general, special, lock — across NFSv3, NFSv4, and NFSv4.1, then flags regressions against a baseline.

LangGraphNFSv3/4/4.1

GitHub<br>Download

OpenStack & cloud testing

OpenStack Tempest agent

by @vytasta · 70% rev share

Runs Tempest test groups — compute, network, storage, identity, image — across two environment configs and surfaces exact failing test names and regressions.

LangGraphOpenStackTempest

GitHub<br>Download

How it works — running an agent<br>From lease request to running agent

01

Request a lease

Pick a plan and tell us where your data plane will run — cluster, VPC, or bare metal.

02

Install the agent

One install command deploys the agent into your environment and pairs it to your lease.

03

Control plane takes over

Scheduling, updates, and policy flow down automatically. You watch it all from one dashboard.

04

Scale or revoke

Add data planes as you grow, or pull a lease instantly — your data never has to move first.

How it works — publishing an agent<br>From repo to recurring revenue

01

List your repo

Point us at the agent's GitHub repo and pick which lease plans it can run on.

02

Get reviewed

We check it runs cleanly and reports heartbeats, then publish it to the marketplace.

03

Runners pair it

Anyone on a supported plan can...