Article proposes method for agents to store runtime experience

On November 11, 2026 at 18:52, the Chinese developer community platform Juejin published a technical article titled "How Agents Dynamically Store Runtime Experience to Avoid Repeating Mistakes." The article argues that agents start from scratch on every task because their experience is never persisted. To address this, the author proposes a four-element framework — scene, action, outcome, and reflection — for accumulating experience, where stored experience is injected only after a scene-based retrieval hit. The scheme also incorporates deduplication, merging, and淘汰 mechanisms so that similar tasks no longer fall into the same traps. As of now, this is the only report available, and there have been no further developments.