Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Web infrastructure for AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
US
Pricing model
Open source
Not given
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: 1,000 credits/month, no card; Builder: $49/month for 10,000 credits; Pro: $199/month for 50,000 credits; Scale: $799/month for 250,000 credits. Enterprise with custom terms available. Credits cost approximately $0.0032-$0.0049 per page, $3.20-$4.90 per 1,000 pages, or about $0.19-$0.29/hour of
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
Scrape: Convert any web page into clean markdown or structured JSON
Crawl: Fetch every page on a site from a single link and receive results as they are ready
Search: Query the web with top results already read and parsed
Browsers: Real browser instances in the cloud controlled via Playwright, Puppeteer or SDK
Agents: Autonomous task execution in a real browser with plain English descriptions
Session recordings: Every browser session is recorded for debugging and verification
Monitor: Watch pages on a schedule and receive notifications when content changes
Saved logins: Store credentials securely for agent runs requiring authentication
MCP integration: Connect to Claude Code, Codex or Cursor with one command
Real browser handling: Sites treat agents as humans so pages load and sessions persist
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
warm-rust
Outcrawl