Hybrid search, graph indexing, and vector-symbolic memory for AI agents
The continual learning engine for AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
Not given
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.
RELAI Free: $0. RELAI Enterprise: Custom pricing.
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
Capture signals from code, requirements, and production traces
Build and maintain EvalsWiki as versioned behavioral knowledge
Find missing eval coverage and unclear expectations
Generate complete evals with scenarios, environments, and evaluators
Optimize harness across prompts, tools, workflows, and code
Multi-objective optimization for quality, cost, latency, and KPIs
Model selection, migration, and routing with evaluation
Regression-controlled improvement with evaluation evidence
Versioned storage in repository with pull requests
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
Turns failures into replayable learning environments
Prevents regressions by keeping previous evals in the loop
Integrates with existing observability stacks and traces
Preserves business intelligence versioned in repository
Adapts harness to model changes without redefining use cases
warm-rust
RELAI