Vercel vs Rivet
Side-by-side trajectory, velocity, and editorial themes.
Vercel widens its AI Gateway and compute limits as regulation reshapes model access
Vercel's cadence splits between AI Gateway expansion (new models from Moonshot and DeepSeek-via-Azure, harness-level agent APIs in AI SDK 7) and core platform reach (30-minute functions, drag-and-drop Drop deploys, Nitro v3 workflow integration, threshold billing). The AI Gateway is increasingly the center of gravity, and it is now exposed to regulatory pressure.
Vercel is consolidating as a neutral routing and compute layer for AI workloads: more models behind one gateway, harness abstraction in AI SDK 7, and longer-running functions to host agentic jobs. The Claude Fable 5 suspension shows that aggregating third-party models inherits their regulatory risk. Expect continued breadth on the gateway and deeper agent-runtime tooling.
Look for more models and providers added to AI Gateway and further function/runtime limits raised to court long-running agent workloads. Model availability will increasingly hinge on external compliance constraints rather than Vercel's own roadmap.
Rivet pivots from actor backend to a coding-agent OS, and is building the ecosystem to match.
Rivet began as an actor and serverless backend platform — RivetKit, Rivet Actors, Rivet Compute — and has spent the last month reorienting around agentOS, a WebAssembly-based Linux environment for running coding agents without a heavy sandbox. The June and July releases show both threads running in parallel: native language SDKs (Rust, Effect) for Actors, and a fast-maturing agentOS that now has its own package registry.
The center of gravity is shifting from hosting stateful actors to being the runtime coding agents execute inside. agentOS went from a v0.2 sandbox alternative to shipping a package registry and a sub-millisecond package manager in under two weeks, a sign Rivet wants to own the developer surface around agent execution, not just the compute underneath it.
Expect agentOS to keep accreting ecosystem pieces — more registry content and tighter orchestration — while the Actors SDKs settle toward maintenance. A likely next move is deeper coupling between agentOS and Rivet Compute so agents run on Rivet's own cloud.
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