Serialized field guide37 issues / 9 chapters

comicMemori

An educational comic series exploring how AI memory works, from context windows to vector databases, told through the story of an office intern named Lex.

Publication run

1/37 available

Complete run

Issue library

1 available / 36 in production

Chapter 01

Foundations

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The intern who writes fast, and what the desk is

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Tokens, the sticky notes of text

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The context window, desk size and boundaries

Chapter 02

Desk Management

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Context bloat, when the desk turns into a pile

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Attention as a spotlight, why clutter hurts quality

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Compression, turning a pile into a clean brief

Chapter 03

Archive and Retrieval

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The archive, storing information outside the desk

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Retrieval, bringing the right pages back

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RAG, the retrieve-then-write workflow

Chapter 04

Vectors and Semantic Search

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Vectors, coordinates on the meaning map

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Embeddings, coordinates for meaning

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Similarity search, finding neighbors on the meaning map

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Cosine similarity, comparing directions

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Vector databases, the map drawer at scale

Chapter 05

Memory Storage

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Relational and document databases

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Hybrid retrieval, lexical and semantic signals

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Graph databases, relationships on the corkboard

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When graphs beat lists, and when they do not

Chapter 06

Provider Memory Systems

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How memory works in ChatGPT

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How memory works in Gemini

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How memory works in Claude

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When remembered context goes stale

Chapter 07

Portability and Ownership

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Why moving your memories is hard

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What lock-in feels like

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A portable memory format

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Permissions, safety, and what should never be stored

Chapter 08

Agentic Future

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When interns become doers, memory becomes operational

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Multi-agent teamwork, shared context without chaos

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Auditing and accountability, a paper trail for actions

Chapter 09

Context Layer Benefits

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One context, many tools

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Less repetition, fewer remind me again moments

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Better personalization without chaos

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Cleaner prompts, smaller desks, better answers

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Portability, taking your binder with you

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Privacy controls that feel human

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Team context layers, shared work without oversharing

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Agent readiness with safe context actions