The system of record for your team's AI agent skills
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
GB
US
Pricing model
Free trial
Open source
Pricing
£15 per seat per month, billed monthly or annually. Minimum 5 seats. 14-day free trial. For organisations above 200 seats, custom pricing available.
Open source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch.
Key features
Centrally hosted skill catalogue with version control
Admin review and approval workflow for skill submissions
One-click skill download for team members
Access control and skill assignment management
Complete audit log of all actions
Skill guides to prevent conflicts and degradation
Version rollback with one click
Export skills and audit data anytime
Hybrid search combining BM25 lexical and vector scoring
Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
Vector-symbolic fact memory with holographic reduced representations
AES-256-GCM encryption at rest with Argon2id key derivation
Signed audit log with Ed25519 and W3C DID identity
Secure purge that overwrites deleted data with zeros
Crash-safe append-only log with checksumming
Native Rust API with Python HTTP client and Node.js bindings
MCP server integration for editors and AI agents
WARM Cloud sync, backup and verification without server access to keys or documents
What makes it different
System of record specifically designed for AI agent skills management
Built for existing IT and operations workflows
Authorship stays with the people who write skills
Downloaded skills continue working even if platform is down
Runs entirely locally in your process with no network calls or telemetry
Encryption at rest built into the open-source engine itself, not an enterprise add-on
Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
Embedded library model eliminates dependency on external services or vendor lock-in
Cloudskill
warm-rust