Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
US
Pricing model
Not given
Open source
Pricing
Free plan: $0 per month with 100 tool calls per day and 10 new integrations per month. Premium: $50 per month with 1,000 tool calls per day and 100 new integrations per month. Business: contact for pricing with 100,000+ tool calls per day and 1,000+ new integrations per month.
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
Faster and more reliable than browser agents
Self-healing integrations that detect and repair breaks automatically
Build integrations from your coding agent with prompts
Authentication and 2FA handled automatically
No deployment or infrastructure required
Support for legacy portals and internal tools
Integration with any website type
Secure credential storage with PII redaction
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
7x faster performance than browser agents
Self-healing integrations repair automatically when websites change
No API key or credential storage required for basic use
Open source framework
Handles anti-bot measures and rate limiting automatically
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