← all entries
S-TIER skill

Context vs Memory vs Harness engineering explained in 40 sec — 💡These 3 disciplines are core to building agents that ...

lindavivah · 2026-05-01T02:48:35.000Z · in Creative
Open post ↗

100k ft — What is this?

Context vs Memory vs Harness engineering explained in 40 sec — 💡These 3 disciplines are core to building agents that ...
skillS-tier

50k ft — Why care?

Context vs Memory vs Harness engineering explained in 40 seconds by Richmond Alake ⚡️ — @lindavivah; demonstrates AI agents.
LLMagentsopen source

10k ft — Key takeaways

(no takeaways yet)

5k ft — Tools & techniques

(no tools tagged) AI agents

1k ft — Deep-dive / try it

Context vs Memory vs Harness engineering explained in 40 seconds by Richmond Alake ⚡️ 💡These 3 disciplines are core to building agents that can actually remember and reason over time Most agents work well within a single session but lose everything the moment it ends. Memory engineering treats long-term memory as first-class infrastructure. Richmond Alake (Director of AI DevEx at Oracle) walked me through all three in NYC🗽 ✈️ I’m PSYCHED to be heading to an offsite with the Oracle developer team very soon to go even deeper on agent harnesses & excited to share learnings with y’all! If you want to learn how to build memory-aware agents, Richmond has a free short DeepLearning.AI course in collaboration with Oracle that he co-taught with his colleague Nacho! 📚 Comment ✨DEVELOPER✨ and I…
Transcript excerpt
What's the difference between context engineering, memory engineering, and harness engineering? That's a load of questions, but let me answer it very quickly. Context engineering is how you actually optimize the signals and noise ratio within the context window. So every information you put into the context window, you have to get every bank for your block. While memory engineering is how you actually implement systems that can learn. So, are you modeled the actual memory within the agents? Are you retrieving information? Are you forget information? Are you evolving information? Whereas harness engineering is everything around the agents and the LLM. So, it's the code, essentially. It's the scaffolding and the oprenulated structure of that scaffolding. That's harness engineering. Check out his course, by the way, on Deep Learning AI, all about agent memory. I'll link it below, and hello from New York again.

Appears in

Collection: Creative