The Unified Semantic Operating System
A complete stack for Agentic AI. From the Information-Theoretic Engine (MIB) to the Universal Memory Protocol, Moorcheh provides the infrastructure for the next generation of intelligence.
INTERFACES
Layer 4SDKs • Console • MCP
PRIMITIVES
Layer 3Retrieval • Generation • State
ENGINE
Layer 2MIB Compression • ITS Scoring
INFRASTRUCTURE
Layer 1Sovereign Cloud • SaaS
Layer 1: The MIB Engine
The information-theoretic foundation that powers semantic intelligence
Index-Free Ingestion
Data is transformed, not indexed. Real-time availability for streaming workflows with O(1) write latency.
Information-Theoretic Scoring (ITS)
Beyond geometric distance. Probabilistic relevance scoring (0-1) that eliminates hallucinations at the retrieval layer.
32x Compression (MIB)
Binary-coded vectors reduce memory footprint by 96% without accuracy loss, enabling True Serverless architecture.
Layer 2: Dual Modes of Intelligence
Retrieval and generation primitives that power agentic workflows
Precision Retrieval
Hybrid search streamlined into a single syntax. Filter by metadata, enforce keyword constraints, and retrieve raw payloads in one pass.
Generative Reasoning
RAG-in-a-Box. Connect directly to Claude 4.5, Llama 4, or DeepSeek R1. We handle the embedding, context injection, and prompt engineering internally.
Layer 3: The Builder's Toolkit
Access methods for every stage of development.
Mission Control
Full observability suite. Monitor latency, trace execution logs, and prototype agents in the visual playground.

Typed & Async
First-class support for Python and Node.js. Fully typed for production safety.
Export to Code
Design in the Console, export config to our Next.js Boilerplate. Deploy anywhere.
The Cerebellum for Autonomous Agents
Stop building stateless bots. Moorcheh provides the persistent, stateful memory layer that autonomous agents need to remember, reason, and act over time.
Memory is not just storage. It is State.
Native Integrations for the Modern Stack
Plug Moorcheh into your existing workflow. We maintain official connectors for the industry's leading frameworks.
Model Context Protocol
The universal standard. Connect Claude Desktop and compatible IDEs directly to your Moorcheh memory brain without custom code.
n8n
Orchestrate multi-step agentic workflows visually. Drag-and-drop Moorcheh nodes to build complex AI pipelines.
LangChain
Official Retriever & VectorStore implementation. Drop us seamlessly into your Python or JS chains.
VerifiedLlamaIndex
Native VectorStore integration. Build advanced RAG engines and query pipelines with full metadata support.
Implementation Patterns
Watch practical implementation guides. Learn how to deploy memory-augmented agents using Python, n8n, and the Console.

System Architecture: The MIB Engine
CTO Dr. Majid Fekri breaks down the Information-Theoretic architecture behind the sub-20ms retrieval engine.

Building a Semantic Code Assistant
Implement a RAG pipeline in a Notebook to search technical documentation using the Python SDK.

Scientific Discovery with LangChain
Integrating Moorcheh with LangChain to build specialized research agents for academic papers.

The Unified RAG API: Walkthrough
A technical overview of the /answer endpoint: reducing complex RAG chains into a single HTTP request.

Vertical AI: Legal Due Diligence
Automating high-stakes document analysis and retrieval for the legal sector.

End-to-End Service Agent
Deploying a production-grade support agent trained on proprietary PDF documentation.

Rapid Prototyping in Console
From raw data ingestion to a functional semantic search prototype in minutes.
Start Architecting
Build the next generation of agentic AI with Moorcheh's unified semantic infrastructure