Ship agents into systems you can't afford to break
Open-source AI agent orchestration platform for incident response and automation
Stage
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Founded
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Based in
IL
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Pricing model
Freemium
Open source
Pricing
Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
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Key features
MCP server for AI agents and assistants
Python and TypeScript SDKs
REST API and CLI for scripts and coding agents
No-code workflow canvas
Managed authentication to connected systems
Audit trail of agent actions
Tool permissions scoped per agent
On-premises agent for systems behind firewall
Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
Root cause analysis and backend execution of fixes
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
Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
On-premises deployment capability for regulated or sensitive systems behind firewalls
Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
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
Engini
Ryph