Control plane for agentic AI security on the endpoint
Open-source AI agent orchestration platform for incident response and automation
Stage
Not given
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Founded
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Based in
US
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Pricing model
Freemium
Open source
Pricing
Kirin: Free ($0/mo) for individual developers and small teams (1-5 users), Team plan at $15/mo per user for growing teams (5+ users), Enterprise plan with custom pricing. AgentMesh: Free ($0/mo) with 300 items per category, Premium at $15/mo per user, Pro at $850/mo per user for unlimited API access
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Key features
Policy enforcement before agent execution
Blocks prompt injections and rogue agent actions
Real-time detection of malicious behavior
MCP server scanning and blocking
Shadow AI discovery across organization
Secrets detection and prevention
Skills and extensions vetting
Dangerous artifacts rejection
Support for Cursor, Claude Code, GitHub Copilot, Windsurf
Minute-level deployment
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
Visibility into shadow AI across enterprise systems
Unified control plane for multiple coding agents and IDEs
Supply chain threat discovery before components run
Secure coding enforcement with threat modeling
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
Knostic
Ryph