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The Universal Memory Layer for Agentic AI

The semantic engine that combines high-fidelity storage, stateful context, and explainable retrieval. Moorcheh uses Maximally Informative Binarization (MIB) and Information-Theoretic Score (ITS) to deliver superior search accuracy and performance compared to traditional vector databases.

MIB Technology

Uses Maximally Informative Binarization for superior search accuracy

ITS Scoring

Information-Theoretic Score provides better relevance ranking

Lightning Fast

Optimized for speed and performance

Easy Integration

Simple API, Python SDK, and integrations with LangChain & LlamaIndex

Get Started

1

Sign Up

Create your account and get your API key from the Moorcheh Console
2

Install SDK

Install the Python SDK: pip install moorcheh-sdk
3

Start Building

Follow our Quick Start Guide to make your first request

API Reference

Integrations

Supported AI Models

Moorcheh supports 8 state-of-the-art AI models for answer generation:
ModelProviderDescription
Claude Sonnet 4AnthropicHybrid reasoning, extended thinking, efficient code generation
Claude Sonnet 4.5AnthropicLatest Claude model with enhanced capabilities and agentic search
Llama 4 Maverick 17BMeta1M token context, fine tuning, text summarization, function calling
Llama 3.3 70BMetaAdvanced reasoning and decision making capabilities
Amazon Nova ProAmazon300K context, chat optimized, complex reasoning, math
DeepSeek R1DeepSeekAdvanced reasoning and code generation
OpenAI GPT OSS 120BOpenAIHybrid reasoning, extended thinking, efficient research
Qwen 3 32BQwenText generation and code generation

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