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warm-rust vs memsprout

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 memsprout
Detailwarm-rust logo warm-rustmemsprout logo memsprout
What it doesHybrid search, graph indexing, and vector-symbolic memory for AI agents Shared AI-context layer for teams
StageStartup Startup
Founded2026 Not given
Based inUS Not given
Pricing modelOpen source Freemium
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. Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
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
  • Connect any MCP client
  • Space-based access control with owner, editor, and viewer roles
  • Version history on every memory
  • Per-memory attribution and provenance tracking
  • Row-level security in Postgres
  • Topic-based organization within Spaces
  • Works with Cursor, Claude Code, Copilot, ChatGPT
  • Priority support on Team and Enterprise plans
  • Personal and Shared Spaces
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
  • Tool-agnostic across mixed AI stacks instead of locked to one vendor
  • Works across teams without copy-paste or re-explaining context
  • Person-first design where everyone maintains their own knowledge slice
  • Single-team pricing with no enterprise minimum
  • Shared control through role-based permissions and governance
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 check3 −1 (down) since last check
Trust Flow (Majestic)121
Citation Flow (Majestic)2427
Referring domains (Majestic)5671

6 details filled in for both companies.

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