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warm-rust vs Threadless AI

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 Threadless AI
Detailwarm-rust logo warm-rustThreadless AI logo Threadless AI
What it doesHybrid search, graph indexing, and vector-symbolic memory for AI agents Hosted memory for AI agents that forgets like people do
StageStartup Not given
Founded2026 Not given
Based inUS Not given
Pricing modelOpen source Free trial
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. Two meters: user turns (per user turn) and stored memory (per GB-month). Pricing to be announced. Free tier with monthly allowance of turns and memories.
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
  • Conversation episodes with automatic cutting and concept-based organization
  • Activation fading by square root of time with significance tracking
  • Automatic fact extraction and indexing for recall
  • Recall system that surfaces relevant past facts when needed
  • Sleep function that fades context after 24+ hours of silence
  • Fallback to local tail when service is unreachable
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
  • Forgets like people do with fading by time, not truncation
  • Your model, your key, your loop; service only holds history
  • Facts kept permanently even as episodes fade from view
  • Decorate, submit, report: only three lines of integration
  • Human-inspired memory mechanism based on cognitive science
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

5 details filled in for both companies.

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