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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.
4.7/5
Accurate, context-aware, and efficient
Developer-friendly SDK with cloud and database integrations
To provide AI agents with efficient, structured, and explainable memory for improved context management and recall.
Integrates with existing databases and cloud platforms via SDK for seamless AI workflow enhancement.
Freemium with usage-based paid tiers
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
AI Developers
Enterprise Teams
Robotics Engineers
Product Managers
Data Scientists
Startups
Customer Support Teams
Security-Conscious Organizations
Software Architects
Research Labs
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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