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Ryph vs PrivOS

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 PrivOS
DetailRyph logo RyphPrivOS logo PrivOS
What it doesOpen-source AI agent orchestration platform for incident response and automation AI Operating System for Enterprise
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelOpen source Not given
PricingNot given Free (Community): $0/user/month for up to 10 users, bring your own LLM keys. Starter: $20/user/month (annual) with 5,000 LLM credits/user/month. Professional: $30/user/month (annual) with 10,000 LLM credits/user/month. Enterprise: $45/user/month (annual) with 20,000 LLM credits/user/month and dedica
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
  • Team chat with channels, threads, and room-scoped isolation
  • Smart Lists & Data with spreadsheet and Kanban views
  • Documents & Files with centralized storage and versioning
  • AI Bot Agents with permission-bounded execution
  • MCP Apps for custom portals and integrations
  • Sandbox isolated execution environment
  • Full audit trail for compliance
  • Multiple deployment options: cloud, self-hosted, air-gapped
  • Room-level isolation and data boundaries
  • Autonomous AI workflows with Sense → Think → Act cycles
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
  • Self-hosted, air-gapped deployment for complete data sovereignty
  • EU-compliant with GDPR, NIS2, and EU AI Act compliance built-in
  • Room-scoped AI agents with full permission control and audit trail
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 check20 no change since last check
Trust Flow (Majestic)04
Citation Flow (Majestic)031
Referring domains (Majestic)0125

3 details filled in for both companies.

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