Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Managed MCP connectors for business
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
AU
Pricing model
Open source
Freemium
Pricing
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.
Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or
Key features
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
122+ managed connectors to business tools
Skills: reusable procedures for consistent AI execution
Tables: persistent records AI maintains between chats
Secure client connections without password sharing
Team profiles with per-user tool permissions
98.7% token reduction vs loading all tools at once
Works with Claude and ChatGPT through MCP protocol
What makes it different
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
Works across 120+ tools in one MCP connection, no coding required
Encrypted credentials kept separate from AI, with granular access control
98.7% fewer tokens through on-demand tool loading and server-side queries
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