Memori.

Memori

Memori is the agent-native memory infrastructure that transforms how AI systems remember and reason. As an LLM-agnostic layer, it converts agent execution and conversation into structured, persistent state—enabling production-ready AI with 95% lower token costs and millisecond-level recall.

Product Highlights

• Automatic Memory Capture: Every chat turn is classified into facts, preferences, rules, and summaries with full control over storage duration and location
• Targeted Contextual Recall: Pulls only relevant information across conversations and documents without managing extra services
• Semantic Search Optimization: Automatically enriches fuzzy language queries with semantic context for better accuracy without inflating token costs
• Explainable Lineage: Every result includes clear reasoning—trace relevance by entity, time, and source for complete transparency
• Enterprise-Grade Security: PCI and SOC 2 compliant with RBAC, audit trails, and data retention controls—your data stays in your database

Use Cases

• Conversational AI Agents: Build assistants that remember user preferences, past interactions, and context across sessions without repetition
• Enterprise Automation: Deploy agents that safely handle payments and PII with compliant memory vaults and automated form processing
• Cost-Optimized LLM Applications: Reduce inference costs by 95% through intelligent memory routing and tokenless recall instead of full-context retrieval
• Knowledge-Intensive Workflows: Enable agents to synthesize information across documents, conversations, and historical data with explainable reasoning

Target Audience

Memori serves AI developers, ML engineers, and enterprise teams building production-grade agent systems who need persistent memory without compromising on cost, latency, or security. Ideal for organizations scaling from prototype to production with strict compliance requirements.