On building persistent agents: owning your agent's memory stack
omarsar0 · x · 2026-10-20
Elvis Omarsing's article argues for owning your intelligence stack — especially your agent's memory:
- Beyond harness and models, memory is the key layer to manage for frontier agent capabilities, needing storage that outlives any session and stays under your control.
- Persistence is now core to models like Opus 5.5, GPT-6 Astra, and Gemini 4 Argon; four Gemini 4 Argon agents beat Minecraft in 27 hours using shared memory to recover items, revise strategies, and share lessons.
- Models increasingly choose what to persist and when to use it. The accompanying diagram shows Fulcra's approach: every Claude Code / Codex session writes state to one context store you own, and the next agent reads from it to continue.
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