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Doug Finke's Experiment: Giving AI a Persistent Memory

Microsoft MVP Doug Finke proposed giving AI agents a persistent, accumulative personal knowledge base, then demonstrated his minimalist approach in a live-streamed NYC Agentic AI meetup.

2026-09-08 ~ 2026-09-11 · 2 episodes · 12 posts

Episode 1 · Doug Finke's Experiment: Giving AI a Compounding Personal Knowledge Base (2026-09-08, 3 posts)

Microsoft MVP Doug Finke is running a public experiment using a minimal harness of just five tools, Markdown, and an LLM to let agents accumulate knowledge instead of forgetting after each session, with a live stream scheduled for Thursday.

Episode 2 · 16-Time Microsoft MVP Live-Tests a Minimal 'Personal AGI' (2026-09-10, 9 posts)

On September 10–11, 16-time Microsoft MVP and creator of ImportExcel/PSAI, Doug Finke, will demo his experiment "Own Your Intelligence: Personal AGI" live at the Agentic AI community Meetup in New York, tackling the problem of AI sessions being throwaway—agents losing all knowledge the moment a session ends.

Confirmed

  • Doug Finke is a 16-time Microsoft MVP and author of ImportExcel and PSAI; the livestream is an Agentic AI community Meetup event in New York.
  • The experimental setup is deliberately minimal: no frameworks, just a small harness, five basic tools, Markdown files, and one LLM.
  • The core idea is "your work becomes a library, and the AI just needs to find the right book at the right moment"—turning your work output into a knowledge base that can accumulate, organize, and be retrieved over time, giving the agent long-term memory instead of resetting every session.
  • Finke describes the experiment as "no frameworks, no magic"—just enough mechanism to observe whether the AI starts behaving as if it has a genuine "brain" that belongs to the user, with the agent running on the user's own infrastructure, available anytime.

Why it matters

Most mainstream AI assistants still lack the ability to accumulate personal knowledge across sessions. This experiment shows a minimal viable path without heavy frameworks, validating that "minimal tools + Markdown" is enough to give an agent persistent memory—valuable for both the personal knowledge management and agent development communities.