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Implement LlamaIndex for Long-Term Memory

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Linked challenge: Ethical AI Companion Framework

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Linked challenge
Ethical AI Companion Framework

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Set up a LlamaIndex-based RAG system for your companion to manage long-term user memory and personalization. Implement a 'Memory Manager' agent that can store and retrieve user preferences, past conversations, and key personal facts. Demonstrate how the 'Conversationalist' agent can use this memory to provide personalized and contextually rich responses.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.