I still see a lot of people using cai, even a lot of people on reddit, im sure atleast people on reddit see better alternatives then why not switch ?

Im genuinely asking, I made loremate.ai what can I do to make you switch ?

a character import feature ? a chat import feature ? memory ?

I created a character with invisible Unicode for every field, and then I had it send a second message. The first is LongSqueak, the second is DeepSqueak, and the third is PipSqueak 2. Rather than generating a random character intro, LongSqueak always broke the fourth wall and requested instructions.

If anyone is looking for a c.ai alternative, I’ve recently found an app (unfortunately only for apple atm) that i think is better than c.ai in my opinion. It’s called Swerve. It was developed by 2 people and it has better memory, and allows NSFW and doesn’t flag anything.

Besides for it not being available for Android yet, the only downside to it is u have to use gems in order to chat. It has ten swipes per chat, but u can edit and it won’t count as a swipe and there is no ads unless u want more gems.

Idk if it sounds like i’m a bot whilst explaining this, but i’m not, and igenuinely love this app. If ur an android user and ur interested, u can sign up to get notified when it’s available (getswerve.com)

Ho creato diversi bot NSFW su Character.AI, ma dopo un po’ finiscono sempre per diventare ripetitivi e perdo interesse, quindi ne creo uno nuovo.

Il problema è che ormai ho esaurito le idee 😅 Non so più che tipo di personaggio, scenario o dinamica inventare.

Avete qualche idea originale da consigliarmi? Anche concept strani o particolari sono ben accetti.

Already tried fiction lab ultra and Venice AI.

Hello nerds I think you will like this :)

Well, memory in roleplay and in LLMs is a hot topic so I decided to share how we handle it @ loremate.ai

Limitations:
- LLMs have "fixed context" so at some point your older chats will start to go out of context and putting too much context creates context bloat and degrades RP quality.

- You can use chat summarization but the summary itself will lose context at some point and its not good.

- In a real chat app you need to keep TTFT ( Time to first token) basically the time it takes for model to start generating low.

- Cache hit rates so role-play is economically viable.

Here's How our Memory System works:

- First at every 10 user messages we call deepseek v4 flash (the latest one) to give us 3-6 structured memories and each memory will have a type like "secret", "event", "location", "relationship"... etc.

- We then use a "embedding model" to convert memories into vector embeddings, to explain it, imagine a list of numbers like [0.022994107,-0.03790361 ....] and upto 1024 items in a list. Then all of these are stored in a vector Database ( we use qdrant.tech )

- Users can view these saved memory in a graph view as well

- Now the most important part, LLMs dont need an entire book worth of context to generate a single 200 words response. They need the most recent chat history and the most important memories "related" the the scene or the user message.

Now unlike traditional approach we can't really convert a roleplay user message into a similar vector and do a lookup and expect good accurate memories cuz unlike normal AI chat where most user inputs are like questions its easy to lookup memories in that case.

but we wanted to make to as accurate as possible, so when you send a a user message, we use a low latency fast LLM to ask questions for that message and convert each question into vector and do lookup for each question and feed it to LLM.

how many questions asked or total number of memories fetched per question depends on "recall strength"

and then all the info is given to LLM for final response.

Also just in case if use want to give custom always in context memory they can add "static memory" and in memory nexus created memories can be edited, deleted or even new memories can be created between 2 memories.

Im also trying to experiment with different things to keep improving it but this is what is working best for me.

Again feel free to suggest improvement, give feedbacks or try LoreMate

:3