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Memori

Agent-native memory infrastructure for production AI systems.

Memori is an LLM-agnostic memory layer that captures, classifies, and recalls structured state from agent conversations. It automatically extracts facts, preferences, and summaries, provides targeted recall with semantic search, and delivers explainable results. Supports role-based access control, data retention policies, and audit trails. Benchmark accuracy of 81.95% with 95% token reduction.

Freemium

How to use Memori?

Integrate Memori by adding the SDK with one line of code. It automatically captures each chat turn and classifies it into facts, preferences, rules, and summaries. Use targeted recall to pull relevant context across conversations. For production, choose a plan that fits your usage. Self-host with your own database or use Memori Cloud for hosted storage and search.

Memori 's Core Features

Automatically classifies chat turns into facts, preferences, and summaries

Targeted recall across conversations and documents

Selective semantic search with token cost optimization

Explainable results with entity, time, and source lineage

Role-based access control and data retention policies

Benchmarked 81.95% accuracy on LoCoMo with 95% token reduction

One-line SDK integration with zero configuration

Memori 's Use Cases

AI agent memory for production systems

Personalized customer support bots

Company brain for knowledge retrieval

Robotics with persistent memory layer

E-commerce personalized recommendations

Multi-agent system coordination

Secure PII handling with payments vault

Memori 's Pricing

Free

For builders exploring Memori

Starter

For growing apps entering production

Pro

For teams running production loads

Enterprise

Custom plans with dedicated support

Memori 's FAQ

Most impacted jobs

Developer

AI Engineer

Data Scientist

Product Manager

CTO

Memori Youtube Reviews

Memori 's Tags

#memory #AI #agent #LLM #context retrieval #semantic search #production #infrastructure

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