Publish an agent. Get paid every time it runs.Or lease one — it still runs on your own resources.
● control plane online — 4 regions
The marketplace for infrastructure and platform agents.
Publish an agent. Get paid every time it runs.
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 → Browse the marketplace
topology.live control-plane → 4 subscriber data-planes
CP you own control plane DP-01subscriber DP-02subscriber DP-03subscriber DP-04subscriber data planes — run on subscriber-owned compute
Architecture
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
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
- 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
- 1 leased agent
- 1 data plane
- Community support
- 7-day telemetry retention Lease for free
- Up to 10 leased agents
- Up to 10 data planes
- RBAC and audit log
- 90-day telemetry retention
- Email + chat support Start this lease
- Unlimited leased agents
- Dedicated control-plane tenancy
- SSO, custom policy engine
- SLA-backed support
data plane · runs on your resources
Execution & storage
The leased agent runs inside your VPC, cluster, or bare metal. Compute, storage, and egress stay on infrastructure you already control.
Publish & earn
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.
Marketplace
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
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
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
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
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
How it works — running an agent
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
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 lease your agent into their own environment.
→
04
#### Get paid monthly
Keep 70% of the lease fee for every active runner — gated on live heartbeat activity.
Pricing
Lease plans
Every plan includes the hosted control plane. You bring the compute for your data plane.
STARTER
$0/mo
One agent, one data plane. Good for evaluating the lease model.
TEAM
$149/mo
For running production agents across a handful of environments.
FLEET
Custom
For fleets spanning many clusters, regions, or subscriber orgs.
Publishing an agent is always free. Authors keep 70% of whatever plan price the runner pays, for as long as their lease stays active.
Lease an agent Publish an agent
Request a lease
Tell us about the environment you want the data plane to run in. We'll generate an install command tied to your lease.
$ curl -sL agent4lease.com/install | sh > checking lease availability... > execution: not yet live > status: added to waitlist
Organization
Work email
Data plane target
Plan
Join the waitlist
Execution isn't live yet — this reserves your spot. No card required, no charge until leasing actually goes live.
Publish an agent
List your agent's repo, pick which plans can run it, and we'll review it before it goes live in the marketplace.
$ agent4lease publish --repo your/agent > running review checks... > heartbeat check: pending > listing status: waitlisted (execution not yet live)
Agent name
GitHub repo URL
Work email
Runnable on which plans
Starter Team Fleet
Join the waitlist
Execution isn't live yet — this just reserves your listing for review. No payouts happen until leasing goes live.
Building Agent4Lease, or thinking about backing it?
We're a prototype-stage marketplace for infrastructure and platform agents, and we're talking to early investors. Reach out and we'll send over the deck and demo.
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