Runtime security layer that stops risky AI actions before they execute
Marketplace and runtime for headless, agent-first apps
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Open source
Pricing
Free plan: Local Guard runtime with real-time approval prompts and local audit log. Solo $4.99/mo: adds 2 cloud-connected devices and 30-day cloud retention. Pro $15/mo: adds 5 cloud-connected devices, 180-day retention, and policy versioning. Team $30/seat/mo: up to 25 cloud-connected devices, 365-
Not given
Key features
Surface-specific pre-action interception
Policy routing with allow, observe, ask, and block outcomes
Local review and evidence workflows
MCP, skill, plugin, and package inspection
Layered local and team policy
Open source runtime under Apache-2.0
Offline local protection without cloud connectivity
Continuous GitHub leaked-secret monitoring
Decision audit trail and export
Support for multiple AI coding agents
Install agent-first apps without graphical interface
Connect via MCP or REST protocols
Browse and install from marketplace
Run apps locally on your server or computer
Share app results between connected agents
Build custom apps using Python, JavaScript or containers
Test improvements before reusing apps
Keep apps private or publish to marketplace
Optional runner to track tasks without model API agent
Linux x86-64 and ARM64 support
What makes it different
Open-source core runtime runs locally without cloud requirement
Protects against secrets, destructive commands, prompt injection, and supply chain attacks
No source code or secrets uploaded; decisions stored as redacted summaries
Data stays in your own environment
Add tools without changing agent harness
Multiple agents share results in same collection
Agents can create tools by automating repeated work
Rhyven