Rivet
by Rivet · Durable stateful actors for AI agents and realtime apps
BenchRank score
Screenshots of Rivet
Homepage
Overview
Rivet actors are durable, stateful processes that keep state in memory next to compute, run indefinitely and sleep when idle. They run inside an existing Node.js, Bun or Deno backend, with WebSockets, workflows, queues and scheduling included. agentOS adds a Wasm-isolated file system, shell and Python for agents; deploy self-hosted, in a VPC or on Rivet Cloud.
- Best for
- Node.js or Bun teams building AI agents or realtime apps that need durable, stateful processes
- Pricing
- Free tier, then Hobby from $20/month and Team from $200/month plus metered usage (from $0.05 per 1,000 awake actor hours), with free Apache 2.0 self-hosting and contact-sales Enterprise Edition.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Apache 2.0 core, self-hostable with no usage limits
- Idle actors sleep and are not billed for compute
- Runs in your existing Node.js, Bun or Deno backend
- Built-in SQLite viewer, REPL and event monitoring
Trade-offs
- Hobby and Team include identical usage; Team adds MFA and Slack support
- FoundationDB, ACLs and air-gapped support are closed-source Enterprise
- Self-hosting leaves scaling, updates and VPC networking to you
- Compute is billed per second on top of plan fees, with none included
How Rivet markets itself
A structured read of the promise, proof and page design on Rivet’s captured homepage.
Homepage capture
“Infrastructure for software that thinks.”
- Angle: AI-native
- Hero: Illustration
Pricing
Published plans and prices from Rivet’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Rivet pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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