Others Agent Archived

Cite as: Real Problem AI problem “Why does every LLM session start from zero for knowledge workers?”. Opportunity score 8.3 out of 10 (severity 8, AI feasibility 7, market signal 9, competition gap 8). Category Others. Trend Agent. Source signal: Andrej Karpathy at YC AI Startup School. Canonical URL: https://www.realproblem.ai/archive/why-does-every-llm-session-start-from-zero-for-knowledge-workers.

Why does every LLM session start from zero for knowledge workers?

Lawyers, analysts, founders and doctors paste the same context into ChatGPT or Claude 20+ times a day because no portable cross-provider memory layer exists. Single-provider memory locks you in.

Who has it: Knowledge workers who consult an LLM 20+ times daily and re-explain themselves every session.

What people report

The source compares LLMs to a coworker with amnesia: they do not build long-running expertise after training and only have the short-term memory of the context window.

Our summary of the public post linked below, not a quote. Nobody submitted it to Real Problem AI.

Andrej Karpathy at YC AI Startup School

What nothing does yet

A portable, cross-provider personal memory layer that any LLM can read at session start (MCP-shaped, browser extension or local daemon).

Tools that solve this

3 named so far, and where each one stops.

  • OpenAI Memory / Claude Projects

    Single-provider; cannot move with you to the next model.

  • Mem.ai

    Notes app, not a structured memory layer for LLM consumption.

  • Rewind.ai

    Keystroke-level capture; not structured for LLM grounding.

Why it is archived

Retired in the 25 October 2026 freshness refresh: an older or overlapping problem replaced by a newer one people are discussing now.

How you might build it

  1. 01MCP server
  2. 02Local SQLite + embeddings
  3. 03Browser extension
  4. 04Provider adapters for ChatGPT/Claude/Gemini

Founders working in this area

Not affiliated with Real Problem AI.

#FS3 · Canonical URL: https://www.realproblem.ai/archive/why-does-every-llm-session-start-from-zero-for-knowledge-workers