warm-rust vs Brainpot 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 Brainpot AI
Detail	warm-rust	Brainpot AI
What it does	Hybrid search, graph indexing, and vector-symbolic memory for AI agents	Shared memory for your team's AI tools
Stage	Startup	Not given
Founded	2026	Not given
Based in	US	SE
Pricing model	Open source	Freemium
Pricing	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.	Free: up to 10 team members, 1 page, 50 facts. Small Teams: €9/month (4 team members included, +€3 per extra), 200 pages, 5,000 facts. Large Teams: €49/month (20 team members included, +€2 per extra), unlimited pages, 50,000 facts. Yearly billing available at €90/year and €490/year.
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	Shared fact management across team AI tools Granular read and write permissions per page Export as Markdown or JSON Per-workspace encryption Works with Claude, ChatGPT, Cursor, Copilot and MCP-compatible tools No installation required, connector-based setup API support for automated exports Sealed pages unreadable even to Brainpot staff
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	No token costs; Brainpot runs no AI and integrates with existing tools Full data control with 90-day grace period after cancellation Company cannot read customer content by design Never trains AI on customer data or shares it Works with any AI tool that supports MCP protocol
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	26 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	12	0
Citation Flow (Majestic)	24	0
Referring domains (Majestic)	56	1

6 details filled in for both companies.

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