Open-source AI agent orchestration platform for incident response and automation
Managed MCP connectors for business
Stage
Not given
Not given
Founded
Not given
Not given
Based in
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AU
Pricing model
Open source
Freemium
Pricing
Not given
Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or
Key features
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
122+ managed connectors to business tools
Skills: reusable procedures for consistent AI execution
Tables: persistent records AI maintains between chats
Secure client connections without password sharing
Team profiles with per-user tool permissions
98.7% token reduction vs loading all tools at once
Works with Claude and ChatGPT through MCP protocol
What makes it different
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
Works across 120+ tools in one MCP connection, no coding required
Encrypted credentials kept separate from AI, with granular access control
98.7% fewer tokens through on-demand tool loading and server-side queries
Ryph
FloConnector