Your history, made navigable

Find the questions, facts, and ideas you keep returning to.

Choose your ChatGPT export. Memory Map reads its conversation files in this tab, then builds a searchable semantic graph with a browser-loaded embedding model.

Choose the analysis lens

AutomaticSelects from the writing systems used in your prompts.Compact EnglishSmaller download for English-first histories.Multilingual≈135 MB · meaning across many languages.

Evidence confidenceHigher confidence shows fewer, stronger inferred connections.

Threshold65%

Choose your ChatGPT exportor drop the original ZIP hereConversation JSON is read. Attachments and chat.html are ignored.

1
ParseRead split conversation files one at a time.
2
MapEmbed bounded prompts and fact candidates.
3
ExploreSearch, inspect repeats, and trace every result.

Private by construction.No upload endpoint, account, analytics payload, or archive persistence. Model files download from Hugging Face; your conversation text is not sent with that request.

Mapped memory

Your conversation history, connected.

Filter inferred evidence

Analysis lens

Visible evidence threshold65%Semantic candidates will be filtered without re-reading your ZIP.

Network scale

Overview

Things connected by meaning

Topic map

Node size is conversation count. Lines are semantic proximity.

Semantic map is still forming.Deterministic insights are ready below.

Focused neighborhood · the complete topic list follows.

Routes through time

How your map changed

Emerging, fading, and resurfacing are local trend labels—not explanations for why your interests changed.

Evolution routes appear after analysis.

Different ways to read the archive

Question lenses

Queries may appear in more than one domain. Open any result to inspect its supporting conversations.

Conservative writing signals

Likely typos

Conversations that changed tracks

Conversation strands

Interchange patterns

Questions you return to

Exact wording and semantic repeats are kept distinct.

Prompts from your own evidence

Questions your history asks you

Invitations to review a repeat, correction, old memory, quiet theme, or wording spike—not conclusions about you.

Wording, not personality

Query tone

A more expressive vocabulary

Language signals in your queries

Cadence over time

Rhythms

How the map was made

Transparent by default.

Statistics, question lenses, typo and thread-change candidates, query tone, language signals, and reflection prompts use local, inspectable rules. Topic relationships, semantic repeats, fact grouping, conversation strands, and search use normalized browser-loaded embeddings.

Assistant assertions are excluded from the fact ledger. Large histories are sampled for semantic work while totals continue to cover the full parsed export. Confidence controls refilter stored candidates; they do not make inferred evidence certain.