Runtime security layer that stops risky AI actions before they execute
Stage
Growing
Not given
Founded
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Based in
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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
Long-term memory for AI agents
Automatic fact extraction and reconciliation
Curated recall retrieval
Raw vector search capability
Model Context Protocol integration
Regional data residency
End-to-end encryption
Right to erasure
Bring-your-own-key model support
Recalld Chat assistant
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
Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
Automatic fact updating and reconciliation without manual deduplication pipelines
Verified on open benchmark maintained by independent company
Native MCP server requiring no SDK or glue code
GDPR-compliant by design with transparent data handling
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