Rivet vs WeWeb
Side-by-side trajectory, velocity, and editorial themes.
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.
WeWeb is going AI-native, letting external tools build in your project
WeWeb is pushing its visual web builder toward AI-native development. It shipped MCP support so external AI tools can understand and build directly in a WeWeb project, then followed with in-app WeWeb AI gaining planning and task tracking plus MCP quality-of-life fixes. Underneath, the core keeps getting refined — a redesigned Supabase Select, formula columns in table views, and steady editor, navigation, and publishing polish.
The arc is toward a builder where AI is a first-class way to construct apps, whether through the in-app assistant or an external tool driving the project over MCP. Recent releases pair that agentic surface with data-layer depth (Supabase, formula columns) and deployment ergonomics, suggesting WeWeb wants AI-assisted building to sit on top of a solid, data-connected foundation rather than replace it. The messaging around 'AI, visual, or both' signals a deliberately hybrid workflow.
Expect WeWeb AI and MCP to keep maturing together — richer planning, more reliable agent edits — alongside continued Supabase and data-source depth, given how these two threads dominate the recent cadence.
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