Building AI Memory Systems Series

A six-part series documenting the design and implementation of a hybrid memory system for AI agents. Watch as we build a real production system from scratch.

🚧 In Progress (1 of 6 published)

Part 1

Why Your AI Agent Forgets Everything

Your AI coding assistant has a dirty secret: it forgets everything between sessions. Here's why context windows aren't enough.

December 16, 2025

Part 2

Coming Soon!

Check back soon for the next part of this series.

Part 3

Coming Soon!

Check back soon for the next part of this series.

Part 4

Coming Soon!

Check back soon for the next part of this series.

Part 5

Coming Soon!

Check back soon for the next part of this series.

Part 6

Coming Soon!

Check back soon for the next part of this series.

Part 7

Coming Soon!

Check back soon for the next part of this series.

About This Series

Your AI coding assistant forgets everything between sessions. This series documents building a production-grade memory system that actually works—combining semantic search, entity extraction, and intelligent caching.

What makes this unique: This isn’t theory. You’re watching the actual implementation happen, with real code, real decisions, and real trade-offs.

What You’ll Learn

• Part 1: Why context windows aren’t memory ✅
• Part 2: Dual-LLM architecture with GPT-OSS preprocessing (coming soon)
• Part 3: Entity schema design - what to remember vs forget (coming soon)
• Part 4: Building the memory processor with Strands hooks (coming soon)
• Part 5: Qdrant integration and vector search (coming soon)
• Part 6: Lessons learned and performance tuning (coming soon)

Status

🚧 In Progress - Part 1 published, Parts 2-6 in development.

Follow along as we build this together!