Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
US
Pricing model
Not given
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
AI Agent and MCP Server Discovery
Over 1,000 Built-In Integrations
Intent-Based Permissioning
Identity Threat Detection and Response
Lifecycle Management
Accountability and Traceability
Compliance and Auditability
Security Posture Management
AI-Driven Automation and Remediation
Token MCP Server
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
Identity-first approach built for AI agents, not human-centric tools
Unified identity graph correlating agents, humans, secrets, permissions, and data
Intent-aware least-privilege enforcement across agent lifecycle
Deep continuous discovery across on-prem, hybrid, and cloud environments
Native AI capabilities with Token MCP Server and AI Agent
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