Agent4Lease operates a marketplace where authors publish agents and earn revenue each time they run, while users lease agents that execute exclusively on their own Kubernetes, OpenStack, or bare-metal infrastructure. A central hosted control plane manages scheduling, credentials, and observability without ever accessing user data or workloads. It cleanly separates responsibilities between agent authors and infrastructure operators.
Agent4Lease is an AI & ML project. Discovering, leasing, and monetizing infrastructure and platform agents while keeping workloads on private compute resources. It is built as a B2B product for platform engineers. Agent4Lease is paid. It runs on the web, the command line, and API, and it can be self-hosted.
Behind Agent4Lease is Agent4Lease, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are Agent Marketplace, Control Plane, and Data Plane Isolation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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