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How Nuramem compares


Every AI lab and every memory company now keeps something about you. What differs is what is kept, how it is boiled down, how it reaches the model, and whose it is. Read as of 13 October 2026.

ProductWhat it keepsHow it is distilledHow it reaches the modelWhose it is
ChatGPTA memory summary synthesised from all your chats; past chats, files and apps as sourcesIn the background, automatically, rewritten as facts changeLoaded into every chat; the summary is “partial by design” and editableOpenAI’s app only; delete clears the summary, not the chats
ClaudeAn editable summary of standing facts, rebuilt every day; past-chat search on demandDaily synthesis; import from ChatGPT or Gemini by pasting an exportThe summary, plus a search when it would helpAnthropic’s app
GeminiMemory learned from past chats, plus the information you saveAccumulates on its own; the mechanism is not publishedPersonalisation inside Google’s appsGoogle only; off for Workspace, minors, the EEA and the UK
Meta MuseDossiers on you and on every person you mention, updated hourly; a nightly analysis of the dayImplicit and continuous; infers goals you never statedLoaded into the agent’s own machineMeta’s agent; exportable files; “forget” does not erase the source
Mem0Facts extracted from each exchange; an optional graph of entitiesOn write, a model decides to add, update, delete or leave each fact against its nearest neighboursSearched at question timeThe developer who integrates it; the person has no product
SupermemorySource chunks, extracted facts in a graph, and a profile“Dreaming”: grouped documents are merged and organised by a memory modelSearched at question time, plus the profile as standing contextDeveloper infrastructure; began as a consumer second brain
HonchoA “representation” of each person, derived in the background from every messageA background process, with summaries every few dozen messagesAn agent the app consults about the userDeveloper infrastructure for app builders
EngramA learned memory artifact trained from a company’s documentsStudied in advance and compressed; stale when the documents changeIn the model’s context as trained memory, not retrieved textThe enterprise
Zep / GraphitiA knowledge graph of conversations and business data that knows when each fact heldFacts get validity periods and are invalidated, not deletedGraph search at question timeDeveloper infrastructure
LettaCore memory blocks in context; archival and recall memory outside itA background agent rewrites the blocks between turnsThe blocks are always in context; the rest is searchedThe developer’s agent
MemoryPluginMemory snippets in buckets, plus full chat historyNone by design: duplicates merged and stale facts flagged, each fix approved by youInjected into each chat by a browser extension or a connectorThe person, across many tools
NuramemRecords you wrote, kept by kind — decisions, plans, people, references, learnings, state — saved when you say soConsolidated in the background into one compact picture, kind by kindLoaded at the start of every chat as prior knowledge, in every AI and app you useYours: one-call export, deletion that deletes; the record your rules read

Sources, read 13 October 2026

The Mem0 paper (arXiv 2504.19413) · Supermemory, how it works · the Honcho architecture · The Deep Feed on Engram and on the June memory wave · ChatGPT’s memory announcement of 4 June and its Memory FAQ · Claude’s memory guide, May 2026 · Gemini memory, July 2026 · Letta, sleep-time compute · Zep / Graphiti (arXiv 2501.13956) · TIME on Muse, 6 October · Muse Wonder’s Active Memory, 12 October · MemoryPlugin’s own pages. Each vendor’s figures are its own; none is independently verified. Something here out of date? Tell us.