Don’t tie memory data to any form of AI framework or tool, any! Memory data must be sha...

Don’t tie memory data to any form of AI framework or tool, any!

Memory data must be shared by all tools and all agents.

The owner of the memory can open access rights on demand.

Memory must be continuously extracted to be meaningful, and memory must be layered, from original records to different types of content.

Personally, my experience is based on Obsidian as a memory storage medium.

It is a very flexible method, multi-modal, readable by both humans and agents, portable, and without tool binding.

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Article argument map

Generated from the post's content graph

Mermaid outline

flowchart LR
  format-long_post["longform note"]
  topic-agents["agents"]
  topic-memory["memory"]
  topic-retrieval["retrieval"]
  topic-tooling["tooling"]
  capability-agent-workflow["agent workflow"]
  format-long_post -->|covers| topic-agents
  format-long_post -->|covers| topic-memory
  format-long_post -->|covers| topic-retrieval
  format-long_post -->|covers| topic-tooling
  format-long_post -->|signals| capability-agent-workflow

Visual structure

Essay structure map

Built from summary and key paragraph positions

Mermaid outline

flowchart LR
  thesis["Don’t tie memory data to any form of AI framework or tool, any! Memory data must be shared by all tools and..."]
  signal["Don’t tie memory data to any form of AI framework or tool, any!"]
  operator["Memory must be continuously extracted to be meaningful, and memory must be layered, from original records t..."]
  implication["It is a very flexible method, multi-modal, readable by both humans and agents, portable, and without tool b..."]
  thesis -->|frames| signal
  signal -->|develops| operator
  operator -->|lands in| implication

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