Turn your documents into verified, portable skills for any AI agent
Hybrid search, graph indexing, and vector-symbolic memory for AI agents
Stage
Not given
Startup
Founded
Not given
2026
Based in
IN
US
Pricing model
Free
Open source
Pricing
Free during early validation phase with daily and weekly usage limits
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
Automatic document type detection
Multi-format file support (PDF, DOCX, CSV, XML, Markdown, TXT, JSON)
Claude Projects integration
OpenAI Codex CLI export
Privacy-first design with no data storage
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
Automatic structure detection and template selection based on document content type
No coding experience required to create AI skill files
Works with existing Claude and Codex accounts—no Pro required
Fast processing—results in under one minute
Client-side processing with immediate file deletion after use
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
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