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I'm looking at the MemoryArena benchmark. Can you explain how the memory system wraps a task prompt with stored context before sending it to the agent?
In MemoryArena, what is the difference between the BM25, embedding-based, and GraphRAG memory retrieval approaches, and when would each perform best?
How do I add a new benchmark environment to MemoryArena? Walk me through the steps based on how existing environments are structured.
I want to run MemoryArena with Mem0 as the memory backend. What API keys do I need and how do I configure them?
Explain the evaluation methodology in MemoryArena, how does it measure whether an agent successfully used memory from a previous session?
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