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What is Memori?

Memori is an agent-native memory infrastructure designed to enhance AI applications by providing efficient, structured memory management. Developed by Gibson AI, it addresses the challenge of managing and recalling relevant context in AI workflows, reducing token usage and improving response times. Memori automatically captures and classifies chat interactions into facts, preferences, rules, and summaries, enabling targeted recall of relevant information without extra service overhead. It supports selective semantic search to improve accuracy and offers explainable results with clear lineage for traceability. Memori is ideal for developers and enterprises looking to integrate persistent, intelligent memory layers into AI agents, optimizing costs and performance in production environments.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

Accurate, context-aware, and efficient

Interface

Developer-friendly SDK with cloud and database integrations

AI Technology
LLMNLPSemantic Search
Purpose of Tool

To provide AI agents with efficient, structured, and explainable memory for improved context management and recall.

Compatibility

Integrates with existing databases and cloud platforms via SDK for seamless AI workflow enhancement.

Pricing

Freemium with usage-based paid tiers

Features

Features with the highest value for users are highlighted here.

Automatic memory classification

Targeted context recall

Selective semantic search

Explainable memory lineage

Memory graph visualization

Real-time analytics

Secure PCI and SOC 2 compliant storage

One-line SDK integration

Who Is It For?

AI Developers

Enterprise Teams

Robotics Engineers

Product Managers

Data Scientists

Startups

Customer Support Teams

Security-Conscious Organizations

Software Architects

Research Labs

Pricing

Free

$0/monthly
  • Basic memory storage
  • Limited API calls
  • Access to Memori Cloud
Popular

Pro

$49/monthly
  • Increased API limits
  • Advanced semantic search
  • Priority support
  • Secure memory vault

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Pros & Cons

Pros

  • Significantly reduces token usage and LLM costs by over 95%.
  • Provides fast, millisecond-level response times with cached memory snippets.

Cons

  • May require initial setup to tailor memory classification to specific use cases.
  • Advanced features like memory graph and analytics might have a learning curve.

FAQs

Just Launched

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