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warm-rust vs Lusor

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

warm-rust compared with Lusor
Detailwarm-rust logo warm-rustLusor logo Lusor
What it doesHybrid search, graph indexing, and vector-symbolic memory for AI agents Run AI agents on real phones or control phones directly via API
StageStartup Not given
Founded2026 Not given
Based inUS Not given
Pricing modelOpen source Not given
PricingOpen 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
  • Send AI agents tasks in plain language to execute on phones
  • Direct phone control with tap, type, swipe and app launch actions
  • Support for iPhone, Android and cloud-based Lusor Phones
  • Screen reading capability
  • API with interactive playground
  • Agent sessions and turn-based interaction
  • Recordings and replay functionality
  • Location and timezone control for phones
  • Structured output from agent tasks
  • Multi-model support for agents
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
  • Provides real phones to AI agents for authentic task execution
  • Supports both your own phones and managed cloud phones
  • Complete screen interaction capabilities for automation
  • Developer-focused with versioned API and JSON responses
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)26 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)120
Citation Flow (Majestic)240
Referring domains (Majestic)560

3 details filled in for both companies.

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