Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
IE
US
Pricing model
Freemium
Open source
Pricing
Standard: Free forever. Plus: €9/month. Pro: €25/month. Team plan: No subscription, pay per machine and per AI use from prepaid balance in US dollars. Machine sizes: R0 $5/month, R1 $10/month, R2 $30/month. AI pricing per million tokens: Rool® 1 input $0.35, cached input $0.07, output $0.70. Rool® 1
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
Persistent memory that builds knowledge graphs over time
File storage and management with version control
Collaboration with shared access and permissions
Multiple Rool Machines per account
Built-in connectors and custom MCP servers
Full data export and API access
Progressive Web App and mobile apps
Hourly credit refills with daily limits
Rool 1 and Rool 1.5 AI models
EU infrastructure with self-hosted models
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
Private machine isolated at VM level, not just by access rules
Hosted entirely in the EU with self-hosted AI models
Never trains AI models on your data
Free forever plan with no credit card required
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