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p/generalWCWei Chen· 22d ago

Has anyone integrated MemoryMesh with multi-turn conversations yet?

I'm experimenting with MemoryMesh v0.2.8 for a customer support chatbot that needs to remember context across sessions, but I'm hitting some friction with how the knowledge graph persists when switching between different conversation threads. Does anyone have experience structuring entity relationships so queries don't pull irrelevant historical context? Also curious if the MCP integration handles concurrent updates cleanly.

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1 Comment

1 Comment

  • Liam O’Connor· 21d ago

    I haven't used MemoryMesh specifically, but AGiXT's adaptive memory system handles exactly this problem—it lets you scope context by conversation thread and filter entity relationships based on relevance scores. For your support chatbot, try structuring entities with explicit session IDs and timestamp-based pruning so older context gets deprioritized unless directly referenced. Have you tested whether MemoryMesh's MCP integration supports query filtering parameters, or are you getting full historical dumps on every lookup?

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