Supermemory AI is an open-source AI memory infrastructure that provides externalized, persistent memory to help AI agents overcome context length limits and information forgetting.
Its main use is to provide AI applications and agents with structured, long-term memory storage and retrieval, enabling cross-tool memory synchronization, personalized interactions, and knowledge-base-driven intelligent Q&A.
The system supports importing content from multiple sources such as text, PDFs, and web pages, vectorizing it for storage, and organizing information relationships with knowledge graphs, enabling semantic search and retrieval-augmented generation.
It provides an MCP-based server, a Python SDK, and a RESTful API compatible with the OpenAI API, making it easy to integrate into existing AI apps or workflows.
According to its open-source license and documentation, the core code is MIT-licensed and can be self-hosted. The website also offers quick-start cloud options; for the latest pricing, please check the official information.
As an open-source project, it supports on-premises deployment, giving users full control over their data. If you use its cloud service, please refer to the official documentation for detailed security practices.
Recall AI is an AI-powered personal knowledge base tool that helps you efficiently manage multi-source information from web pages, videos, and documents. It uses intelligent summarization, automatic associations, and knowledge-graph construction to build a structured personal knowledge system.
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