Open-source AI infrastructure
Compare Everstack with AI gateway and infrastructure platforms across routing, agent runtimes, sandboxes, observability, deployment ownership, and governance.
Each page states the licence, the deployment model, which capabilities are gated behind a paid key when self-hosting, and the published pricing with the date it was checked. Feature claims come from the vendor's own documentation, licence file, or pricing page rather than from a scoring rubric.
Most tools in this space solve one layer: a gateway proxies model traffic, an observability platform stores traces, a sandbox vendor executes code, an evaluation platform scores output. Everstack runs those layers on one control plane, self-hosted, so routing decisions, execution, policy, and telemetry share an operational boundary instead of four.
If you need one layer and already operate the rest, a focused tool is usually simpler to adopt and has a larger community behind it. The case for a unified control plane depends on having several of these problems at once, and on a deployment constraint that rules out putting data in someone else's cloud.