Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Growing
Startup
Founded
Not given
2026
Based in
Not given
US
Pricing model
Freemium
Open source
Pricing
Not given
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
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
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
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
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
warm-rust