Adding persistent memory to a retail AI agent with Hindsight — and hitting conflicting memories
Sreekousik1_G · reddit · 2026-09-29
A developer's writeup on building DukaanIQ, a retail assistant that answers questions about purchases, sales, inventory and customer preferences, using Hindsight for persistent agent memory.
Key points:
- Three memory operations: Retain (store business facts, extract entities), Recall (multi-strategy retrieval: semantic, keyword, graph, temporal), Reflect (synthesize answers across memories)
- Architecture: backend functions for hindsightRetain/Recall/Reflect keep the API key server-side; stack is Supabase + Groq + Base44 + Hindsight
- Design decision: databases answer "what products belong to this user" while memory answers "what has the agent learned" — responsibilities kept separate
- Pitfall found in testing: conflicting memories (two records for the same sunflower oil purchase naming different suppliers) both surfaced by retrieval, raising the open question of how agents should handle memories that disagree
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