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warm-rust vs Agentage Memory

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 Agentage Memory
Detailwarm-rust logo warm-rustAgentage Memory logo Agentage Memory
What it doesHybrid search, graph indexing, and vector-symbolic memory for AI agents One memory. Every AI. Owned by you.
StageStartup Not given
Founded2026 Not given
Based inUS Not given
Pricing modelOpen source Free
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
  • Connect once through MCP endpoint across Claude, ChatGPT, Cursor and Claude Code
  • Shared memory automatically synced across all connected AI tools
  • Plain markdown storage with YAML frontmatter
  • EU-hosted data with no vendor lock-in
  • Lexical search across memory
  • No API keys or complex configuration needed
  • Account created automatically on first connection
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
  • Cross-vendor memory through MCP instead of locked to one assistant
  • Plain readable markdown you own forever, not black-box vectors or rented format
  • EU-hosted by architecture so data stays in your region
  • Survives AI tool changes and deprecations unlike built-in assistant memory
  • No maintenance needed unlike DIY scripts and cron jobs
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 check17 −1 (down) since last check
Trust Flow (Majestic)1212
Citation Flow (Majestic)2432
Referring domains (Majestic)5684

4 details filled in for both companies.

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