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memory

ChatGPT and Claude added memory as a feature.
We built the company around it.

Long-term memory is the only reason talkamore exists. So we didn't glue it on — we built every layer around it. Here's the honest comparison, with sources.

How it recalls

mayaPer-turn semantic search across your full corpus
chatgptPer-turn RAG over a notepad of facts plus chat history
claudeA summary refreshed once every 24 hours

Shape of memory

mayaMood, energy, themes, dates — queryable as fields
chatgptFlat notepad of free-form facts
claudeA single rolling free-form summary

Knows your timezone

mayaYes — every entry is your local calendar day
chatgptNo
claudeNo

Works through the API

mayaYes — same memory on Telegram, web, mobile
chatgptChatGPT.com only
claudeClaude.ai only — the API is memoryless

Capacity ceiling

mayaVector store scales by row
chatgptNotepad fills, manual deletion required
claudePer-account caps even on paid tiers

Forgetting on request

mayaSemantic delete — “forget what I told you about Sarah” removes only those facts
chatgptManual notepad edit, or wipe whole chats
claudeVerbal “forget X” in chat

five things memory-first changes

01

Memory is the product, not a feature.

ChatGPT and Claude added memory to make general-purpose chats stickier. Maya was designed memory-first: the daily journal is the artifact, the chat is just the way you write to it. That shows up in what gets stored (mood, themes, summary) and how it's retrieved (per-turn, semantically) — choices a general assistant doesn't make.

02

Structured and unstructured. Both queryable.

Maya can answer “show me when my mood was BAD in March” (a typed query on the journal) AND “what reminds you of how I felt about my sister” (a semantic search on the embedding). ChatGPT's notepad can't do the first. Claude's summary can't do either with precision.

03

Real-time recall, not a daily summary.

Every turn pulls moments relevant to the exact thing you just said. Claude's memory summary is generated up to a full day stale and is a single synthesis for your whole history. On a hard turn, that's the difference between Maya naming a pattern from three weeks ago and Claude giving you a generic acknowledgement.

04

Same memory on every surface.

Whatever you tell Maya on Telegram, the web app remembers. The mobile app will too. There's one shared per-user store — not one Telegram-Maya and a different ChatGPT-style web-Maya. Claude's memory does not exist via the API at all; build something on Anthropic's API and you get a stateless agent.

05

Time-zone-correct daily entries.

If you write at 11:30pm in Mumbai, that entry lands on the right local day, not bumped to “tomorrow UTC.” Sounds small until you try a 12-hour-offset timezone and watch ChatGPT's memory misattribute every late-night reflection to the next day.

and where we are not better

We're not trying to beat ChatGPT or Claude at everything. We're better at one specific job they weren't designed for. The list of things they're still better at is real:

  • Raw scale and battle-testing — they have orders of magnitude more users.
  • Base model breadth — they make the model, we run on top of one.
  • A free tier that doesn't ask for a card.
  • Image and audio recall — our journal is text-only today.
  • Coding, math, vision — they're general assistants, we're a journaling companion.

See it for yourself. Talk to maya.

The first 100 messages are free. The memory starts the moment you do.

start talking

sources

Every claim above is from official docs, primary research, or our own code. If something looks wrong, tell us — we'll fix the page.