Runtime security layer that stops risky AI actions before they execute
Stage
Growing
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Freemium
Pricing
Not given
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-
Key features
One user-owned context for every agent
Agents wake up to what changed since their last loop
Readable, traceable context with every change logged
End-to-end encryption with AES-256
Granular sharing controls with revocable access
Right to export, delete, and transparency
Context that travels across AI products and models
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
What makes it different
User-owned context that travels with you across AI products
Traceable agent activity with full visibility and control
Agents coordinate through shared context without learning being trapped in silos
End-to-end encryption with no data selling
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