📖 The AI Tool Bible

Pagerly vs Rivet

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Pagerly
Agents
Rivet
Agents
TaglineSlack-native on-call scheduling and incident response with AI-assisted rotations.Open-source visual IDE for building and debugging LLM agent graphs.
CategoryAgentsAgents
PricingFreemium· 1-month free trial, then paid monthly/yearly plans (not publicly disclosed)Free· Free and open source (MIT)
ModelMulti-model
Editorial score6.9 / 108.0 / 10
Use cases
on-call schedulingincident responseuptime monitoringstatus pagesslack rotations
agent-orchestrationprompt-chainingllm-debuggingtypescript-integration
Pros
  • Lives inside Slack and Teams, so adoption friction is minimal
  • Imports existing rotations from PagerDuty and OpsGenie
  • Bundles monitoring, status pages, and incident workflows in one tool
  • Deep two-way integrations with Jira, Zendesk, GitHub, and Salesforce
  • Fully open source with an MIT-style license and self-hostable desktop app
  • Real-time remote debugging attaches the IDE to a live Node.js process
  • Graphs serialize to YAML, so agent logic reviews cleanly in Git
  • Model-agnostic — works with OpenAI, Anthropic, and custom providers
Cons
  • AI capabilities are lightly described and not deeply differentiated
  • Pricing is opaque beyond the free trial
  • Not a fit for teams that need a heavyweight incident platform like PagerDuty
  • Node.js/TypeScript-centric; Python teams are second-class
  • No hosted runtime — you deploy and monitor it yourself
  • Visual-graph paradigm has a learning curve versus code-first frameworks
Websitepagerly.iorivet.ironcladapp.com
Pick Pagerly if
  • Lives inside Slack and Teams, so adoption friction is minimal
  • Imports existing rotations from PagerDuty and OpsGenie
  • Bundles monitoring, status pages, and incident workflows in one tool
  • Deep two-way integrations with Jira, Zendesk, GitHub, and Salesforce
Pick Rivet if
  • Fully open source with an MIT-style license and self-hostable desktop app
  • Real-time remote debugging attaches the IDE to a live Node.js process
  • Graphs serialize to YAML, so agent logic reviews cleanly in Git
  • Model-agnostic — works with OpenAI, Anthropic, and custom providers