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Ryph vs ActionBox

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Ryph compared with ActionBox
DetailRyph logo RyphActionBox logo ActionBox
What it doesOpen-source AI agent orchestration platform for incident response and automation Human approval infrastructure for AI agents and automation workflows
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelOpen source Freemium
PricingNot given Developer: Free forever with 250 Actions/month, 3 Sources, 3 Watches, 7-day history. Pro: $10/month ($120/year, save 17%) with 1,000 Actions/month, unlimited Sources, 20 Watches, 30-day history, additional Actions at $8 per 1,000-pack. Team: $49.17/month ($590/year, save 17%) with 5,000 Actions/mont
Key features
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
  • Typed decisions (Boolean, choice, text, number, rating, structured forms)
  • Heartbeat Watches for silent-work detection
  • Action Controls for safe follow-up operations
  • Multi-surface inboxes (web, mobile, Slack, CLI, MCP)
  • Model Context Protocol (MCP) integration
  • Signed receipts and durable decision history
  • Mobile app for iOS (15+) with push alerts
  • Slack approval integration (Beta)
  • CLI with bounded long-poll waiting
  • Integration guides for GitHub Actions, n8n, LangGraph, OpenAI Agents SDK
What makes it different
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
  • Durable decision records that survive client disconnections and restarts
  • Reduces median approval time significantly in production environments
  • Unified API across multiple approval surfaces without building custom dashboards
  • Source-scoped identity for independent credential rotation across runners
  • Built-in monitoring for stalled background work with heartbeat watches
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)07
Citation Flow (Majestic)024
Referring domains (Majestic)042

4 details filled in for both companies.

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