AI companion research
AI companion research from Riho: how her memory, sense of time, character and feelings work, plus the memory benchmark method and what we found.

Riho’s research pages are written by the people who build her, from the engine’s code, our design records and dated test runs. Ten pages are published. They cover how she remembers, how she knows what day it is, how her character and feelings are put together, and how we test any of it.
Most pages carry two kinds of statement. Some describe the design as it is in October 2026, and others report what a test found in July, August or September 2026. We label both, because the engine was rebuilt in September and an August result can describe a system that no longer exists. Where this hub and a page disagree, the page is the one to trust.
Every research page and the question it answers
| Research page | The question it answers | What it rests on |
|---|---|---|
| Memory architecture | How does her long-term memory work, and how is a memory checked? | Current design, October 2026 |
| Photo memory | What does she keep when you show her a photo? | Current design, with a live run in September 2026 |
| Temporal awareness | How does she know the date, the time and how long it has been since you talked? | Current design, with an August 2026 code removal and a September 2026 test |
| Therapy-speak | Why do AI companions answer a hard day like a counselor? | July 2026 tests, setup since changed |
| Character design | How do you write a personality for a companion? | Iterations from July to August 2026, plus the October 2026 audit |
| Prompt methodology | Does telling a model what never to do hold a personality better than telling it what to be? | July and August 2026 method, limit found in October 2026 |
| Emotion and conflict | How do her feelings work when there is no mood meter? | Current design, October 2026 |
| How we test | How is she tested, and what can each kind of test show? | Testing as of October 2026, plus the August 2026 instruments |
| Memory benchmark methodology | How could anyone test whether a companion remembers accurately? | A method you can run on any app |
| Memory probe findings | What did Riho’s own memory probes find on August 13, 2026? | Dated results from before the September 2026 rebuild |
AI companion memory research
Two pages cover memory, one for what you say and one for what you show her.
How her memory is built and checked
Memory architecture follows what happens between mentioning an interview on Tuesday and her asking how it went on Thursday. Everything you say is saved word for word, a background record keeper turns older talk into short records, and each record has to quote the words that support it. Code looks for the quote in the cited exchange and rejects the record when it is missing, and a separate ownership rule means a fact about you has to come from your own words. The page also lists where this breaks: corrections can miss, and in a run on 15 September 2026 she called 13 September “yesterday” on the 15th.
What she keeps when you show her a photo
Photo memory looks at what she keeps of a picture and how she tells it apart from another one that looks like it. She keeps the photo with a description of what is visible and the words you sent with it, and what the photo meant is read from the conversation around it. In a live run from 22 to 24 September 2026, a recompressed copy of a photo was matched to the original showing, and a wider shot of the same scene was treated only as resembling it. A stale record also stayed active after a correction in that run, and the repair delivered on 23 September has not been confirmed in a live run.
How she knows what day it is
She goes by the clock that arrives with each of your messages, and temporal awareness covers how that clock, the gap since you last talked, birthdays and milestones reach her. In August 2026 we deleted code that guessed your daily routine from message patterns, and the rebuilt engine has none of it. In a September 2026 test conversation a bare “Mm.” at 10:20 on a Wednesday morning drew a bedtime goodnight, until the clock line began naming the part of the day. A repeat of the same situation read correctly, and one repeat is a single data point.
Character, emotion and voice research
Four pages cover who she is and how she sounds, and each one records something we changed.
Why companions sound like therapists
Therapy-speak asks why an AI companion answers a bad day with “I’m here for you”. In July 2026 we ran five prompt versions on a small model, and banning phrases only moved the therapy-speak into new wording. What worked then was a character bible plus code that trimmed and filtered her replies. That code is gone from the current engine, and a voice review in mid-October 2026 still found some repeated habits in her wording.
How her character is written
Character design traces five iterations of writing a personality down. Numeric traits such as “humor 0.8” gave flat conversations, prose bibles of about sixty lines worked better, and roughly half of each early bible described what the character refuses to do. An audit on 5 October 2026 reversed part of that, with a new rule that nothing in her prompt should be a sentence she could say to you.
Why “never do X” held up better than “be X”
In the July and August 2026 setup, positive rules like “be snarky” faded within three to five turns, while anti-rules like “never be sentimental” held for the session. Prompt methodology is that method, and it also records the catch the October audit found: a rule written in her voice becomes a line she can say.
How her feelings work without a mood meter
Emotion and conflict explains how her feelings work with no numbers behind them. Our August 2026 design had ten numeric dimensions and a six-state conflict machine, and the 2026 rebuild removed both. She now reads the latest exchanges, short summaries of older talk, memories found by meaning and standing facts, with the clock alongside, and closeness comes from time together, shared memories, inside jokes and firsts. She can want something, be in a mood, say no, and message you first.
How we test and what the tests can show
Three pages cover testing, from how we test Riho to how you can test any companion.
How Riho is tested
How we test says a person reads long, unscripted conversations with her, run through the same server, requests and order the iPhone app uses, and that pass or fail is that person’s read. It lays out what each kind of check proves and what it can’t, from automated tests that show delivery to volume tests and a planned long blind relationship test, which has not been run. The page keeps the August 2026 instruments as labeled history: a 30-day relationship arc, a 16-case girlfriend eval, an existence test across many systems and a grounding probe.
A method you can run yourself
The memory benchmark methodology is written so another person can repeat it on any app. It defines six scenarios from fact recall to delayed recall, controls that prevent accidental hints, a run log for build, plan, device and dates, and six outcome labels from Exact to Unavailable.
What the first probes found
The August 13, 2026 probe notes are the dated results so far, on Riho only. A watch habit was stored, retrieved and placed in the reply prompt, and then one run invented that the user was handling the watch while another left it unmentioned. A moved pillow was not stored as a memory, and a plan could be created, moved and closed with no duplicates. These results predate the September rebuild, and the page assigns no score.
AI companion benchmark use case: choosing between apps
Apps describe memory in their own words, which makes them hard to compare without a test of your own. The methodology looks at four practical questions: whether a detail you chose to save comes back, whether its meaning survives, whether a correction is accepted, and whether the current version is used after a delay or a switch between text and voice. You can run a first check over two days. Share three details with each app, correct one of them, wait a day, then ask about all three in chat and again on a call. Write down the app version, the plan and each reply, and use the same script every time. The memory benchmark methodology turns that into a fuller test, and what it is like to have her remember shows the product side of the same questions. If you are still choosing, the best AI girlfriend apps guide compares them, and how Riho works puts chat, memory, photos, calls and dates side by side.
How to read these pages
Riho has not published a scored comparison of companion apps on memory, and none of these pages names a winner. The only memory results published so far are the Riho-only probes from August 13, 2026.
Voice problems are reported as a rate per 100 replies at the moments that invite them, since one clean run can’t show how often a habit comes back.
Several pages list their own failures, among them a correction that left an old record active and a date she got wrong. We leave those in because they are the part another team can check against its own system. If a page and the live app disagree, tell us through the contact page.
Riho is on iPhone only, for adults 18 and over. The design on these pages is the engine as of October 2026, and it will change as we learn more.
Research pages
Why AI companions default to therapy-speakWhy AI companions default to therapy-speak, the research that explains it, and what we tested to make Riho sound like a person instead of a counselor.Read more
Riho memory probe findings, August 13 2026Which AI companion has the best memory? Our dated August 2026 Riho memory probes: what was stored, recalled, used and missed, with no invented scores.Read more
AI girlfriend character designHow Riho's personality is defined: prose over numeric traits, anti-rules, annotated tone, and the evolution from archetype to a specific person.Read more
How AI girlfriend emotions workHow AI girlfriend emotions work in Riho: no mood meter, closeness built from time and shared memories, and moods and wants of her own that can say no.Read more
How we test AI companionsHow Riho tests an AI companion: a person reads long, unscripted conversations run through the real app, scored as rates, plus automated checks for delivery.Read more
AI memory architecture in RihoHow Riho's memory system works: what she reads on every turn, evidence-backed memories, code-checked quotes, and why every memory carries a receipt.Read more
A repeatable method for testing AI companion memorySee the exact conversations, delays, corrections, scoring rules, and controls used to test whether an AI companion remembers accurately.Read more
AI girlfriend that remembers photosAn AI girlfriend that remembers photos: Riho keeps each picture with your own words, knows you and her bunny Mochi in it, and reads it by what you said.Read more
AI prompt methodology for Riho's personalityWhy 'never do X' beats 'be X' for AI companion personality: the RLHF gravity well, sharp boundaries, and how anti-rules prevent personality drift.Read more
How Riho understands timeHow an AI girlfriend remembers dates: Riho uses your local time, never invents reasons for gaps, and knows your birthdays, milestones and plans together.Read more Frequently asked questions
Has Riho ranked AI companions on memory?
No. Riho has not published a scored comparison of companion apps on memory. The August 13, 2026 probe notes cover Riho only, they were run before the September 2026 rebuild, and they assign no score.
Can I test an AI companion's memory myself?
Yes. Share a few personal details, correct one of them, and ask about them later in chat and in a call. The methodology page describes a six-scenario test with a scoring rubric.
Are the August 2026 results still current?
Some of them describe a system that no longer exists, because the engine was rebuilt in September 2026. The pages that report results say which statements are dated test results and which describe the design as of October 2026.
Which research page should I read first?
For most readers, the memory architecture page, since it covers what she keeps and how a memory is checked against your words. If you care about the method, start with how we test.

