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
19
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
Memori 's Use Cases
Memori 's Pricing
Free
0
For builders exploring Memori
Starter
19
For growing apps entering production
Pro
99
For teams running production loads
Enterprise
Custom plans with dedicated support
Memori 's FAQ
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AI Engineer
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