The universal memory layer that gives AI applications human-like recall. Stop building stateless bots.
Limited spots available for Q1 2025.
Most AI applications today are brilliant but forgetful. They treat every conversation as day one.
Context is lost the moment a session ends.
Loading entire chat histories is slow and costly.
Users feel frustrated repeating themselves to your bot.
Fragmented Context
Inspired by human neurology, Memory OS utilizes a three-tier storage system to surface the right context at the right time.
Handles active conversation context with ultra-low latency. Keeps the current thread coherent and responsive.
Summarizes recent sessions and extracts key entities. Perfect for continuing conversations from yesterday.
The deep archive. Identifies patterns, user preferences, and "red car moments" from months ago via semantic search.
Essential for applications where relationships matter.
Track symptoms over time and recall patient history without re-reading entire medical files.
Therapists and coaches that remember breakthroughs from sessions weeks ago.
Assistants that actually know your preferences, relationships, and life context.
Customer support agents that know the full history of a client's project and issues.
Plug Memory OS into your existing LLM stack via our lightweight SDK or API.
We automatically parse, summarize, and index interactions into the memory graph.
Query semantic memory to inject relevant context into your prompt before generation.