Memori

Memori is a memory infrastructure platform built for AI agents and applications, providing persistent, contextual, and retrievable memory across sessions. It enables developers to give their AI systems the ability to remember user preferences, past interactions, and key facts — making agents smarter and more personalized over time. Memori integrates with popular AI frameworks and LLMs, offering a seamless way to add long-term memory without building custom storage solutions. The platform is designed for developers who want to enhance agent performance with minimal setup.

• Persistent Memory Storage: Store and retrieve memories across sessions so AI agents maintain context between conversations.
• Contextual Retrieval: Automatically surface the most relevant memories based on the current conversation or task context.
• Agent Integration: Connect Memori to your existing AI agents and LLM pipelines using simple APIs and SDKs.
• Memory Management: Organize, update, and delete memories programmatically to keep agent knowledge accurate and up to date.
• Multi-Agent Support: Share memory across multiple agents or isolate memory per user, session, or agent instance.
• Developer-Friendly API: Get started quickly with REST API endpoints and SDKs designed for fast integration into any stack.
• Gibson AI Powered: Built on Gibson AI's infrastructure, providing reliable and scalable memory services for production workloads.