Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.
Stage
Startup
Not given
Founded
2026
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Based in
US
ID
Pricing model
Open source
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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.
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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
Observe page state in atomic passes without screenshots
Model picks operations only from compatible targets
Risk classification for payments, deletions, sends and secrets
Typed actions with freshness, visibility and occlusion checks
Append-only event log for replay and audit
Chrome automation through Playwright
Browser extension for agent isolation
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
Deterministic browser mechanics as default, models only for judgement and writing
Safety enforced through code boundaries, not prompt requests
Every step verified independently before proceeding
warm-rust
Mlola