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
Starter plan free with $10 credits monthly, 1 GB processed data, 10k scores, 14-day retention. Pro plan $249/month with $100 credits, 5 GB processed data, 50k scores, 30-day retention. Enterprise with custom pricing. Overage charges at $4/GB for Starter and $3/GB for Pro on processed data.
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
Real-time trace inspection
LLM scoring and evaluation
Production monitoring dashboards
Automated pattern detection
Dataset versioning and management
Prompt optimization with Loop agent
Natural language trace investigation
Custom annotation interfaces
Gateway API for unified access
Brainstore database for AI data
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
Built specifically for agents which fail differently than normal software
Automatic pattern discovery from production data
Framework agnostic with no vendor lock-in
Enterprise security with SOC 2 Type II and HIPAA compliance
Brainstore query engine for faster production debugging
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