HAZIR VE KOPYALANABİLİR

Prompt Kütüphanesi

317+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.

Temizle
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Prompt Mühendisliği

Building a persistent memory + orchestration layer for Codex — what should I use instead of repeatedly re-reading the repo?

I’ve been building a fairly serious agent workflow around OpenAI Codex for a Laravel/React project, and I’ve hit a point where the orchestration works, but the context/memory side clearly does not. My setup currently looks roughly like this: A serial orchestrator with route types like FAST_UI / STANDARD / CRITICAL Context Resolver → Implementer → Reviewer flow for non-trivial t

🛠 ChatGPT
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Prompt Mühendisliği

Has anyone here actually used mem0 or Maximem?

For those who don’t know these two are very different from each other like really diff coz mem0 is a memory SDK you connect into your own agent as a single user without any structure and it doesn’t connect stuff across other conversations unless you’re on pro but its easy to get running while Maximem is heavier at write time, it extracts written memories like preferences, event

🛠 ChatGPT
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Prompt Mühendisliği

I stopped using ChatGPT's memory as project state and turned Google Drive into an external operational memory

With the help of Chatty (that’s what I call ChatGPT), I built a simple system for managing long-term projects without depending too much on ChatGPT’s built-in memory. The problem was pretty simple: ChatGPT was good at remembering things like how I prefer to work, but project information eventually became outdated. “I like to discuss the architecture before writing code” is usef

🛠 ChatGPT