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Dify vs Ryph

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

Dify compared with Ryph
Detail DifyRyph logo Ryph
What it doesThe Platform for Production-Ready Agentic Workflows Open-source AI agent orchestration platform for incident response and automation
StageEstablished Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Open source
PricingSandbox (free), Professional ($590/year per workspace), Team ($1,590/year per workspace), and custom Enterprise pricing. Message credits included monthly. Not given
Key features
  • Workflow Studio - Visual builder for agentic workflows
  • Agent builder - Create agents with skills, tools, and knowledge
  • Knowledge Pipeline - Prepare searchable knowledge bases
  • Marketplace - Explore tools, models, and integrations
  • Multi-deployment options - Cloud, VPC, or self-hosted
  • Publish and monitor - Ship as app, API, or tool
  • Visual execution path - Turn prompt logic into visible workflows
  • Unified workspace - Bring AI stack into one platform
  • Enterprise features - SSO, SAML, RBAC, audit logs
  • 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
What makes it different
  • No-code platform that democratizes AI agent development for beginners
  • Deploy from prototype to production without rebuilding the stack
  • Unified workspace for agents, workflows, and knowledge pipelines
  • Enterprise-ready with SSO, RBAC, audit logs, and compliance certifications
  • 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
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)79 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)330
Citation Flow (Majestic)520
Referring domains (Majestic)63380

4 details filled in for both companies.

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