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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 D
Dify
Ryph
What it does The Platform for Production-Ready Agentic Workflows
Open-source AI agent orchestration platform for incident response and automation
Stage Established
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Founded Not given
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Based in US
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Pricing model Freemium
Open source
Pricing Sandbox (free), Professional ($590/year per workspace), Team ($1,590/year per workspace), and custom Enterprise pricing. Message credits included monthly.
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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 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
DR (Domain Rating by Ahrefs)79 ▲ +1 (up) since last check Not checked yet ● no change since last check
Trust Flow (Majestic) 33 0
Citation Flow (Majestic) 52 0
Referring domains (Majestic) 6338 0
4 details filled in for both companies.
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