AIツール間のメモリレイヤーとしてEmpiricalを使用しています
原題: I’ve been using Empirical as my memory layer across AI tools.
分析結果
- カテゴリ
- AI
- 重要度
- 65
- トレンドスコア
- 27
- 要約
- 私はAIツール間のメモリレイヤーとしてEmpiricalを利用しています。このツールは、異なるAIアプリケーション間での情報の保存と管理を効率化し、作業の生産性を向上させるのに役立っています。
- キーワード
ChatGPT memory helps. Local MD files help. But neither travels cleanly across everything I use, and packing too much into MD files eats context and tokens. With Empirical, I keep my AGENTS.md lean and let Codex pull context dynamically when it actually needs it. I can open ChatGPT on my phone, connected to Empirical, and it pulls the same memory context and writing tone I use in Codex or any other connected AI tool. That means: less repeated setup cleaner, cheaper prompts more consistent output across sessions This is just the tip of the iceberg. I wrote up a Codex example here: How I Used Codex + Empirical to Lock In My Writing Voice | Empirical Blog April 30 note on using Empirical with Codex to define a repeatable writing voice through guided questions and live revision. empirical.gauzza.com ChatGPT memory helps. Local MD files help. But neither travels cleanly across everything I use, and packing too much into MD files eats context and tokens. With Empirical, I keep my AGENTS.md lean and let Codex pull context dynamically when it actually needs it. I can open ChatGPT on my phone, connected to Empirical, and it pulls the same memory context and writing tone I use in Codex or any other connected AI tool. That means: less repeated setup cleaner, cheaper prompts more consistent output across sessions This is just the tip of the iceberg. I wrote up a Codex example here: How I Used Codex + Empirical to Lock In My Writing Voice | Empirical Blog April 30 note on using Empirical with Codex to define a repeatable writing voice through guided questions and live revision. empirical.gauzza.com