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klotz: persistent context*

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1. I gave my local LLM persistent context, and it finally stopped making the same mistakes

   Unlike cloud AI services like Claude or Gemini, local LLMs lack built-in workspace features for persistent memory. You can bridge this gap using "context journaling" via system prompts and RAG.
   
   * LM Studio presets for concise system prompts.
   * RAG document uploads for background/project history.
   * Markdown journal structure (Background, Projects, Corrections).
   * “Corrections” section to prevent recurring model errors.
   * Session exports for prompt effectiveness records.

   2026-05-16 Tags: local llm, lm studio, tools, persistent context, rag, system prompts by klotz

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