Open-source AI infrastructure
Compare Everstack with AI gateway and infrastructure platforms across routing, agent runtimes, sandboxes, observability, deployment ownership, and governance.
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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.