Hybrid search, graph indexing, and vector-symbolic memory for AI agents
An information board for working with your agent
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
Not given
Pricing model
Open source
Paid
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.
Not given
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
MCP connections to compatible AI agents
Real-time review and accept/reject agent edits
Automatic layout modes and infinite canvas navigation
Local data storage on device
Markdown support in descriptions
Change tracking and recovery
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
No built-in AI needed - connect your own agents via MCP with no additional cost
Local-first design - all board data stays on your device
Shared context beyond conversation - the board becomes the reference point for ongoing collaboration
Full control over agent changes with real-time review
warm-rust
Midmap