Platform for business orchestration and automation enabling AI agents, robots, and people to deliver outcomes at scale
Open-source AI agent orchestration platform for incident response and automation
Stage
Established
Not given
Founded
2005
Not given
Based in
US
Not given
Pricing model
Freemium
Open source
Pricing
Free Community plan forever. Basic starting at $25 per month. Standard and Enterprise plans available by contacting sales. Test Cloud Standard available with 60-day free trial; Test Cloud Enterprise available by contacting sales.
Not given
Key features
Business orchestration coordinating work across AI, people, and systems
Agentic AI agents that reason and handle complex workflows
Intelligent document processing extracting data from complex layouts and multiple languages
Process monitoring and optimization with Process Mining
Self-healing automation that suggests fixes for broken automations
Governance controls for data, models, and actions with audit records
Testing automation with agentic testing across enterprise applications
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
End-to-end orchestration from intake to outcome across agents, robots, and people on one platform
Built on over 20 years of real enterprise process expertise
Proven measurable outcomes with $10M+ average documented savings per enterprise customer
Trusted by 91% of reviewers according to Gartner Peer Insights
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
UiPath®
Ryph