Workato vs Rivet
Side-by-side trajectory, velocity, and editorial themes.
Workato is turning integration into an agentic layer, priced by credit
Workato is converting its integration platform into agentic infrastructure. The headline is EDI Genie, a natural-language assistant for EDI operations, but the pattern runs deeper: MCP servers and MCP Apps for AI clients, recipe-native knowledge management (Enterprise Context) for grounding agents, and a credit-based pricing model now extended to Embed partners. The classic connector work continues underneath, with dozens of connectors added or upgraded monthly.
The platform is repositioning from iPaaS to the connective tissue for enterprise AI agents — supplying the tools (MCP), the memory (Enterprise Context), the governance (Genie conversation log streaming), and the metering (credits) that agentic automation needs. The June A2A Protocol connector and MCP Apps both point at interoperability: Workato wants to sit between agents, apps, and AI clients rather than just between SaaS endpoints.
Expect more vertical Genie assistants beyond EDI and continued expansion of the credit model as the default commercial motion, since the entries show credits being wired into Embed, Agent Studio, and MCP together.
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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