Context & Memory Systems
Context and memory systems provide cross-session persistence for AI applications, enabling agents and assistants to maintain state, recall prior interactions, and share context across workflows. This is distinct from vector databases (Topic 3) which handle similarity search, and from general storage (Topic 1). The focus here is on structured memory architectures — conversation history management, working memory for agents, and shared context layers that make intelligence stateful.
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