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Data Party THU
Data Party THU
Nov 5, 2025 · Artificial Intelligence

How to Give LLM Agents Memory, Reflection, and Goal Tracking

This article explains why current LLM agents lose context after each conversation and presents a practical architecture—using SQLite for structured storage, a vector database for semantic retrieval, and LLM‑driven reflection—to add persistent memory, self‑evaluation, and goal‑tracking capabilities that turn agents into learning partners.

Goal TrackingLLMMemory
0 likes · 10 min read
How to Give LLM Agents Memory, Reflection, and Goal Tracking
Data STUDIO
Data STUDIO
Nov 4, 2025 · Artificial Intelligence

How to Build a Memory-Enabled AI Agent with SQLite and Vector Search

This article explains how to give AI agents persistent memory, reflection, and goal‑tracking by storing interaction summaries in SQLite, embedding them for semantic retrieval with a vector database, and using LLM‑generated prompts to recall, reflect, and manage objectives across sessions.

AI AgentGoal TrackingLLM
0 likes · 10 min read
How to Build a Memory-Enabled AI Agent with SQLite and Vector Search