The Universal Memory Layer for Agentic AI.
The semantic engine that combines high-fidelity storage, stateful context, and explainable retrieval.
Integrates with:POWERING NEXT-GEN AGENTS AT




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The Problem: AI Without Memory
Standard Vector DBs are Amnesiac. They fetch keywords but miss deep context. Your agents can't reason over relationships or recall past interactions.
Context Windows are Finite. You cannot stuff entire histories into a prompt without spiraling costs and latency.
Black-Box Retrieval. Cosine similarity gives you a number, not an explanation, making it impossible to debug hallucinations.
The Ultimate Memory
Deep Semantic Understanding: Our Information-Theoretic engine understands relationships, not just vector distance.
Infinite Agentic Memory: Store vast conversational histories and procedural states without performance degradation.
Hyper-Efficient Architecture: Achieve 32x density and 80% compute savings—not just to save money, but to run faster at scale.
Key Benefits
Trust, Don't Guess (Explainable ITS)
Move beyond opaque cosine similarity. Our Normalized Information-Theoretic Scores (0-1) give you mathematical certainty on why data was retrieved, essential for regulated industries.
Unified Semantic Stack
Stop gluing together embeddings, vector stores, and rerankers. Get the Engine, Database, and Memory Management in a single, optimized API.
Deploy on the Edge or Cloud
Our 32x compression isn't just cheap—it's portable. Run high-performance semantic search where others can't.
Features
Normalized & Explainable Scores
Get consistent, universally comparable ITS scores (0-1). Understand why results are relevant, set meaningful thresholds, and build more reliable AI applications.
Intelligent Data Ingestion
Upload raw text and let Moorcheh handle embedding and binarization, or bring your own pre-computed vectors. Maximum flexibility for your data pipeline.
Serverless & Scalable API
Our cloud-native API is built for scale. Pay only for what you use and never worry about managing infrastructure again.
Production-Grade SDKs for Mission-Critical AI
Drop the semantic engine directly into your Python or Node.js stack. Get fully typed responses and async support. Built for production, not just notebooks.
Native VPC Deployment. Full Infrastructure-as-Code.
Don't just host a container. Provision a fully architected, serverless stack inside your own AWS, GCP, or Azure accounts.



Moorcheh integrates deeply with your cloud provider's native ecosystem. We provide production-ready AWS CDK constructs and Terraform templates that provision the entire semantic engine using native services (Cloud Functions, Managed DBs, Private Link). You get the scalability of serverless with the data sovereignty of a private VPC—all with zero operational overhead.
Ready to give your AI a brain?
Get your API Key and integrate the Ultimate Memory layer into your Python/JS stack today. View the Docs.

