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Endgame vs warm-rust

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

Endgame compared with warm-rust
DetailEndgame logo Endgamewarm-rust logo warm-rust
What it doesContext graph for AI-native revenue teams Hybrid search, graph indexing, and vector-symbolic memory for AI agents
StageEstablished Startup
Founded2021 2026
Based inNot given US
Pricing modelContact for pricing Open source
PricingNot given 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.
Key features
  • One context layer connecting all GTM tools and AI agents
  • Agent observability with end-to-end tracing
  • Source citations for every answer
  • Permission-aware answers scoped to user access levels
  • Playbook grounding to enforce business semantics
  • Corrections inbox for agent-generated changes
  • Integration with Claude, ChatGPT, Slack, Salesforce and other tools
  • Open Model Context Protocol (MCP) for any client
  • SOC 2 Type II compliance and GDPR/CCPA support
  • 140x faster answers via pre-compiled context
  • 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
What makes it different
  • 40x lower cost through pre-compiled context vs raw data processing
  • 98% answer accuracy with no hallucinations through checked data
  • Agent-agnostic: works with any AI tool your team uses
  • Never trains on customer data with enterprise-grade security
  • Set up within days with forward-deployed engineer support
  • 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
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)48 −2 (down) since last check26 no change since last check
Trust Flow (Majestic)812
Citation Flow (Majestic)3524
Referring domains (Majestic)32356

6 details filled in for both companies.

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