Cloudskill vs Ryph
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cloudskill compared with Ryph
| Detail | 
Cloudskill | 
Ryph |
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| What it does | The system of record for your team's AI agent skills
| Open-source AI agent orchestration platform for incident response and automation
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| Stage | Not given
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| Founded | Not given
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| Based in | GB
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| Pricing model | Free trial
| Open source
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| Pricing | £15 per seat per month, billed monthly or annually. Minimum 5 seats. 14-day free trial. For organisations above 200 seats, custom pricing available.
| Not given
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| Key features | - Centrally hosted skill catalogue with version control
- Admin review and approval workflow for skill submissions
- One-click skill download for team members
- Access control and skill assignment management
- Complete audit log of all actions
- Skill guides to prevent conflicts and degradation
- Version rollback with one click
- Export skills and audit data anytime
| - 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
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| What makes it different | - System of record specifically designed for AI agent skills management
- Built for existing IT and operations workflows
- Authorship stays with the people who write skills
- Downloaded skills continue working even if platform is down
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 24 | 0 |
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| Referring domains (Majestic) | 47 | 0 |
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4 details filled in for both companies.
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