How do I build a memory system for AI agents?

Start with JSON store like this tutorial. Upgrade to SQLite + embeddings fast.

Will JSON memory scale for production AI agents?

Nope. Bottlenecks everywhere. Go vector DB.

What's the best persistent memory for LLMs?

Embeddings in Pinecone or local FAISS, with feedback-tuned importance.

67% Fewer Dumb Repeats: A Bare-Bones Memory Fix for Forgetful AI Agents

Your AI agent nails a task once, then blanks out next session. One dev's JSON-powered memory system claims a 67% drop in dumb repeats – but is it genius or just a band-aid?

theAIcatchup Apr 10, 2026 4 min read

Code snippet of JSON-based memory store for AI agents with relevance scoring

⚡ Key Takeaways

Simple JSON memory cuts repeated agent questions by 67% – great MVP. 𝕏
But it's production-fragile: no vectors, no scaling. Add embeddings ASAP. 𝕏
Echoes 90s bots; true autonomy needs learning, not just persistence. 𝕏

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#AI agents #LLM memory #LLM memory system #LLM tools #autonomous agents #persistent memory

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Originally reported by dev.to

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