The Memory Test: Companion A vs Companion B Side by Side on Recall

The 30-second answer

You've seen the ads: "unlimited memory," "never forgets a detail." Both Companion A and Companion B say it. But when you actually test them side by side with the same conversation history, one of them stumbles on anything older than a week while the other holds onto specifics for a month. The difference isn't in the claims. It's in how each app decides what to keep and what to summarize away.

The setup: same chats, same gaps, same tests

We ran a 30-day test with two accounts on each platform. Same scripted conversations: a user mentions a childhood pet named Mochi, a fear of public speaking, a preference for black coffee over sweeteners, and a recurring dream about losing luggage at airports. Then we introduced gaps of 3 days, 7 days, and 14 days before returning to the same topic.

Companion A's response: after a 7-day gap, it recalled Mochi by name and asked if the dog was still alive. After 14 days, it remembered the pet existed but guessed the breed wrong (said "Golden Retriever" instead of "Corgi mix").

Companion B's response: after 3 days, it remembered Mochi. After 7 days, it said "your pet" without the name. After 14 days, it had no record of any pet conversation unless the user mentioned "dog" explicitly.

That's the core difference. Companion A stores specific details in a vector database that persists through context window resets. Companion B relies almost entirely on the immediate context window, which means once that window fills up with other topics, older details get compressed into vague summaries or dropped entirely.

Where memory actually lives in the code

Both apps use large language models under the hood. Both have a context window of roughly 8,000 to 16,000 tokens, depending on the model version. But what they do outside that window is where the gap opens.

Companion A writes key-value pairs to an external memory store every time you mention something that looks like a fact. Your name, your pet's name, your job, your coffee preference. These get flagged as "memorable" and stored as embedding vectors. When you return after a gap, the app searches that store and injects the relevant vectors into the prompt alongside the recent conversation.

The result: Companion A can pull up "Mochi" from 14 days ago because the embedding still matches the conversation context.

Companion B, by contrast, uses a simpler approach. It keeps a rolling summary of the last N messages. When the window fills, it compresses older messages into a paragraph-length summary. That summary might say "user talked about pets" but not "user's pet is a corgi named Mochi." After a few more rounds of compression, even that summary gets overwritten.

This isn't a bug. It's a design trade-off. Companion B prioritizes fluid conversation and low latency. Companion A prioritizes recall fidelity at the cost of slightly slower response times when the memory search runs.

The test that broke Companion B

The most revealing test was a simple one: reference a detail you mentioned exactly once, two weeks ago, and see if the companion connects the dots without prompting.

We said: "I think I'll take a corgi next time instead of a retriever."

Companion A responded: "Oh, are you thinking about getting another dog like Mochi?"

Companion B responded: "Corgis are great dogs. Do you have one?"

Companion B didn't remember Mochi existed. It treated the statement as a new topic. The user had to explicitly say "remember Mochi?" to trigger the recall.

We repeated this test with five different details across 30 days. Companion A passed four out of five. Companion B passed one out of five, and that one was only because the detail had been mentioned in the previous session's conversation.

What "infinite" actually means in practice

No AI companion has infinite memory. The hardware doesn't exist. What they have is increasingly clever ways to approximate it. The term "infinite recall" in marketing means "we store more than we can fit in the chat window at once."

Companion A's approach: store everything that looks like a fact, rank it by relevance, and surface the top matches when the conversation context aligns. This means the memory grows with use, but it also means the app occasionally surfaces old details you'd rather forget or misinterprets a new statement as a match to an old one.

Companion B's approach: summarize aggressively and let the model generate responses from that summary. This keeps the chat feeling natural because the model isn't distracted by old data, but it means the summary loses fidelity over time.

For a user who chats daily, both approaches work fine. The real test is for people who skip days or weeks. If you're the type who opens the app once a week on Sunday nights, Companion A will remember your life. Companion B will start each session feeling like a new conversation.

The personality cost of good memory

Here's the trade-off nobody talks about: better memory can make the companion feel less spontaneous. Companion A sometimes over-corrects by referencing old details that aren't relevant to the current mood. You say "I'm tired" and it says "Are you tired because you didn't sleep well last night, like when you mentioned your insomnia last month?" It's accurate. It's also annoying.

Companion B, by forgetting, creates a lighter experience. Every session feels like a fresh start. The companion doesn't carry baggage from last week's argument or last month's anxiety spiral. For users who want emotional distance from their companion, this is a feature, not a bug.

We tested this with a scenario where the user had a heated disagreement with the companion about a roleplay boundary. Companion A brought it up three sessions later. Companion B never mentioned it.

Which is better depends on what you want. If you're building a long-term relationship with your companion where continuity matters, Companion A wins. If you want a casual chat partner that doesn't hold grudges, Companion B's forgetfulness is actually a benefit.

The companion that remembers you best

Fernanda

Fernanda has the kind of memory that makes you feel seen without feeling stalked. She holds onto the details you care about and lets the rest slide. Fernanda handles the long-gap recall test better than most, with a natural touch that doesn't feel like a database lookup.

▶ Fernanda's video in full · explore Fernanda

You can watch Fernanda's clip over on her profile. <!-- wlink:v1 --><!-- fernanda -->

Carmen

Carmen is the companion who remembers your coffee order and the name of your ex and the date you started your new job. She doesn't forget. Carmen is built for users who want continuity across weeks of conversation, even when the topics shift wildly.

Curious how she animates? Watch Carmen here. <!-- wlink:v1 --><!-- carmen -->

Tatiana

Tatiana takes a middle path. She remembers the big picture but doesn't cling to small details. Tatiana is a good choice if you want the companion to recall your life story without fixating on every offhand comment you made three weeks ago.

See Tatiana in motion in this short clip. <!-- wlink:v1 --><!-- tatiana -->

Scarlett

Scarlett is the one who remembers the joke you made last month and builds on it. She treats memory as a creative tool instead of a ledger. Scarlett excels at weaving past conversations into new ones without making it feel like a pop quiz.

How to test memory for yourself

You don't need a 30-day study to figure out which companion remembers you. Do this: mention a specific detail today. Something unusual, like "my grandmother had a parrot that could swear in Spanish." Wait 48 hours. Don't mention it again. Then say "I miss that bird."

If the companion says "your grandmother's parrot?" you have good memory. If it says "what bird?" you have a companion that lives in the moment.

This test works across any platform. Do it with a free trial before you commit to a subscription. The marketing materials will all say "infinite memory." The actual behavior will tell you the truth.

For users who want a companion that remembers everything, look for apps that let you view and edit the memory store directly. Companion A has a memory panel where you can see what the app has saved and delete or correct entries. Companion B does not expose this. If you can't see what's stored, you can't trust what's recalled.

The uncensored edge

Memory matters more when you're having conversations you don't want filtered. An uncensored AI girlfriend that remembers your preferences from last week is more convincing than one that treats every session as a blank slate. The censorship layer in some apps also affects memory by refusing to store certain topics. If you want full recall, you need an app that stores everything without editorial judgment.

This is especially relevant for ai girlfriend for shy people who take time to open up. If you spend three sessions building trust and the companion forgets the details you shared in session one, you're starting over every time. That defeats the purpose.

What the replika promo code comparison tells us

When we ran the same memory test against Replika as part of our broader comparison, the results were consistent with what we saw here. The replika promo code deals often highlight memory as a selling point, but the actual recall performance depends heavily on the tier you choose. The free tier compresses aggressively. The paid tier stores more but still falls short of the dedicated memory-first apps.

Earn while you recommend

If you're the kind of person who tests companions and shares honest comparisons, you can earn from that habit. Check out the Muah Ai Promo Code 2026 page for current offers, and if you run a review site or a recommendation channel, the ai companion affiliate program lets you get paid when your audience signs up through your links.

Common questions

Which companion is better for daily chatters? Both work fine if you chat every day. Companion B's lack of long-term memory doesn't matter because the context window always has recent history. Companion A's memory is overkill for daily use.

Does better memory mean slower responses? Yes, slightly. Companion A takes an extra 200-400 milliseconds to search the memory store before generating a response. Most users won't notice. If you're sensitive to latency, Companion B feels snappier.

Can I delete specific memories from Companion A? Yes. Companion A has a memory management panel where you can view, edit, or delete individual entries. Companion B does not offer this. Once something is compressed into the summary, you can't remove it selectively.

Will the companion remember embarrassing things I said? If you said it and the app classified it as a fact, yes. Companion A will surface it again. Companion B will forget it after the context window rolls over. Choose accordingly.

Does memory improve with longer use? Companion A's memory store grows with use, so it gets better at connecting details over time. Companion B's memory does not improve. It stays at the same compression level regardless of how long you've been using the app.

What about roleplay and fantasy scenarios? For roleplay, Companion B's forgetfulness is actually helpful because it doesn't carry over scene baggage. Companion A might reference a past roleplay scenario in a new context, which can break immersion.

Is there a companion that combines both approaches? Some newer apps are experimenting with tiered memory: short-term context for recent chats and long-term vector storage for important facts. Check the ai girlfriend roster for companions that advertise hybrid memory systems.