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Maximem is an AI memory infrastructure platform designed to help agents remember information across conversations and become more personal accurate and useful over time. Its main product Synap is built for organizations and development teams that need persistent memory for custom AI agents. Synap supports asynchronous ingestion structured information extraction entity resolution knowledge pipelines and anticipatory retrieval. It stores information across vector graph and file systems and combines these sources during retrieval. The system also supports context scoping retention controls consolidation and conscious forgetting through background processes. Maximem reports 92 percent accuracy on the LongMemEval benchmark and 93.2 percent accuracy on LoCoMo. Its in conversation retrieval performance is under 15 milliseconds at the 75th percentile. The platform integrates with 23 agent frameworks and provides developer documentation a dashboard playground GitHub access and integrations. Maximem also offers Vity which is a private personal context layer for power users. Vity uses an encrypted private cloud vault and can remember preferences work history and tasks across different AI applications. The service includes a free tier with no credit card required and supports use cases such as customer support sales healthcare voice AI multi agent systems and personalized workflows.
