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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

How It Works

1

Integrate SDK

Drop Memori's SDK into your existing codebase to start capturing chat turns automatically.

2

Capture and Classify

Memori captures each interaction and classifies data into facts, preferences, rules, and summaries.

3

Targeted Recall

When context is needed, Memori retrieves only the relevant information across conversations and documents.

4

Analyze and Optimize

Use Memori's analytics and explainable results to monitor memory usage and improve AI performance.

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

Enterprise

Custom pricing/monthly
  • Dedicated support
  • Custom integrations
  • SLA guarantees
  • On-premise options

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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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Rating

5.0

Pros

Cons

Quick Memori Comparision

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Analytics of Memori – Agent-native memory infrastructure

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

957

-68.6% vs prior month

Avg. visit duration

00:00:49

M 4 2026 snapshot

Pages / visit

2.08

M 4 2026 snapshot

Bounce rate

36.49%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

191.4310.74430.08549.41668.75Feb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 668.75 (Feb 1, 2026)Low week: 191.4 (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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