Hello everyone,

we have been cooking on beta site and we have some updates

Ember: will now use latest deepseek-v4-pro-0813 instead of the old deepseek v4 pro, from our testing this is a drop in replacement, its really a improvement.

New Update Manage Account Page: Lets you edit, name, handle, hides google profile photo, delete account.

New UI/UX feature:

we have refresh design on cards for better preview, sign up page, etc.

too many things im forgetting :P

also fixed a lot of the reported bugs and patched em.

let us know if you have more suggestions/ feedbacks

This is my first time running ads, I got around 137 click for a CPC of $0.08..

Isn't CPC around $1 ?

also just 2 sign ups from 100 + site visits, idk why but this seems weird, could it bee that most of the click on X are bots ?

if so any way to avoid bots ? (maybe I could add a captcha but im afraid it might turn of real humans )

:/ pls help

LoreMate performed scheduled maintenance today @ 12:30 pm ET. It lasted for 4 hours, from our expected 2 hours.

Hence, we are offering FREE usage of Halo Reasoning and Non Reasoning for next 24 hours (voted by users on discord).

Halo will return back to being premium only at 3pm ET on 11th August 2026.

Actually downtime: ~ 3 minutes site was unreachable

We tried our best to keep site up during maintenance

Last just enjoy the Halo model :3

EDIT: If you are on a free plan and exhausted your limits then we got u covered, we've rested the limits so u can use halo

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" (this slider increases the range for question generation and memory recall per question from qdrant)

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

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

Hello everyone,

For the past few days we have been working to improve Loremate. Some of these updates were already on the beta site.

What's New?

Otter v1.2 Non Thinking:

Otter has been our most unique model, its prose feels different than any other LLMs and ofc with amazing NSFW capabilities, it can write beautiful responses.

Otter v1.2 Thinking:

Ofc what's better than an otter? An otter who thinks, and it's still free for all.

Faster Otter now starts generating 30-40% faster, and its max speed can reach up to 80+ tokens per second (this is dependent on your subscription tier).

New for Premium users:

We will have a Chubby Otter coming soon* for premium users, it's the larger version of the same family of models. Chubby Otter will be first available to @Veteran and @Beta Tester only.

Bug Fixes and Improvements

• Fixed Black Screen on Death: That's what we call when we push a new update and the site shows "we hit a snag" or "chat glitched"
• Fixed and improved Memory Nexus: We added fallbacks and retries for memory creations, added better indicators to show when the next batch of memories will be generated, generation status, etc. Loremate's memory recall accuracy is 95.8% which is very good, and we will try to improve it further.
• Fixed Mobile accidental sidebar open

Please recommend Loremate to others. You help us by sharing about Loremate and recommending it to other people, we would really appreciate it since it would help us grow.

Lastly enjoy, and don't forget to give feedback on the new Otter.

We will soon share about how you can be one of the beta testers so stay tuned.

Link: https://loremate.ai

This the loremate's server and it currently hosting both site and database and weirdly core 5 is mazed at 100% lol

gotta fix it

I'm making loremate.ai
it's an alternative to character ai which lets you create a companion and chat with it.

cai has too many filters and feedbacks from users are ignored so I wanted to try and make a better app

Features:

• We have a feature called Memory Nexus — it create memories every 10 message so which gives you a
• You can also make stories and have multiple characters in a chat.

Its a new and a ambitious project
I'd appreciate any feedbacks 🥺

As the title says Im giving away loremate.ai 's Premium

Some rules:

1. Im broke as well so I can only do 20 people max rn since we baby site.
2. First 20 only

I am trying to get feedback for loremate's premium as compared to other platforms premium offering.

The goal is to test and improve "Memory Nexus" and or "Flagship model Anakin"

• If you are already subscribed to a a platform, Ill just need to know what are we lacking as compared to the platform you are using.

or

• If you are paying for cai or chai (its big 26 ) "if you cancel their sub" I'll get u loremate's highest tier sub for free for an entire month. 😗

Also if you join this feedback program Ill get you "Beta Tester" role on our discord, since you are kinda helping up test platform.

Im away for 2 days so I wont be able to work on loremate much but this would let me enjoy the site im making lol. But Ill note down any feedbacks, bugs or anything.

What do you think loremate needs the most ?

Hey guys!

This is one of our biggest updates so far on Loremate.ai. We've introduced three major features that significantly improve the roleplay experience:

• 🧠 Memory Nexus
• 📖 Dynamic Stories
• ⚔️ Our new flagship model: Anakin

This post explains how everything works and answers some common questions.

---

🧠 Memory Nexus

Memory Nexus is our new long-term memory system designed to give your chats effectively infinite recall.

Unlike a traditional lorebook, Memory Nexus continuously builds small memories as you chat instead of relying on large manually written entries.

Features

• ✨ New memories are automatically generated every 10 messages
• ✍️ Create memories manually
• 📝 Edit or delete existing memories
• 🔗 Create memories between other memories to build relationships
• ♾️ Designed for many small memories instead of a few large ones

---

Recall Strength

Recall Strength controls how strongly the AI uses your memories when generating a response.

Higher values:

• Make the AI rely more heavily on memories
• Improve recall for very long conversations
• Slightly increase generation time (usually barely noticeable)

Recommended

• 8 is a great default
• Increase it for extremely long chats

Limits

Plan	Max Recall Strength
Free	5
Mastermind	10
Omnipotent	16

Memory Nexus can also be disabled, although we generally don't recommend turning it off.

---

📊 Memory Visualizer

Ever wondered what your AI actually remembers?

We've built a graph visualizer that lets you inspect every memory and see how they're connected.

You can find it here:

> Chat → Settings → Memories → Visualize

From there you can:

• View every memory node
• Click nodes to inspect their contents
• See relationships between memories

It's a really cool way to understand how your chat evolves over time.

---

📖 Dynamic Stories

Dynamic Stories let you create entire roleplay worlds without needing a single "main character."

Instead of building the story around one character, you can create a living world where multiple characters participate naturally.

How it works

• Define your story greeting
• Add multiple characters
• Characters contribute using their personalities
• Individual scenarios are not sent to the AI to avoid conflicting story contexts

You can also:

• ➕ Add characters during the chat
• ➖ Remove characters
• 🔄 Switch which character is currently responding

The existing limit of 8 characters per chat still applies.

---

⚔️ New Flagship Model — Anakin

Meet Anakin, our newest and most capable roleplay model.

We built Anakin specifically for immersive roleplay, storytelling, and character interactions.

Even though it's one of our most expensive models to run, we wanted everyone to be able to try it.

Availability

• ✅ Unlimited for Mastermind
• ✅ Unlimited for Omnipotent
• 🆓 Free users can use it for 2× the normal request cost

We're still actively tuning and improving Anakin, so expect it to keep getting better over time.

---

🎉 Bonus

We've also reset the free-tier request limits, so everyone can jump in and try the new features immediately.

Enjoy!

---

We're continuously improving LoreMate, and we'd love to hear your feedback.

If you have questions, suggestions, or run into any issues, leave a comment below—we'll be around to answer them.

- Now you can Create stories without any characters
- Add or remove characters from chats
- A character's scenario is not fed into story since, different characters can have different scenarios and that can confuse ai.

u can try them on loremate.ai

Go to Sidebar > profile button > themes and pick your fav theme

loremate.ai

Ive been using ai for Rp for around 2 years now (ex cai user), I ended up building my platform but I actually use local AI RP more.

In recent years AI has progressed a lot and many frontier labs have shifted their focus from expanding the capabilities of their models across field to just coding. Dont get me wrong I like it my fable 5 generate good code.

But do you really need a 2 Trillion parameter model for roleplay ? actually No and it might be worse.

My setup:

Silly tavern (goated app) + local models. For most people I recommend Gemma 4 specially 31b and by using lower quant like 4 bit or 3bit u could fit and run it on your laptop with 5080 (I know not everyone got a 50 series card but you can find free ai models so easily).

Last year I released a a 8b model (t-rex-mini) but it's really good for roleplay specially if you want quick smut. Again it can do slow burn but its not as good as big models.

you and download and run it: https://huggingface.co/featherless-ai-quants/saturated-labs-T-Rex-mini-GGUF

even if you have a 8 gb graphic card you should be able to run.

Or use free APIs from OR or any other place, you can use big models as well.

So, what about my platform why should someone use it?
- Since working on a large scale I can secure really good discounts, it can be more economical (again not true freedom like local AI rp)

- Big bad modes liek glm 5.2 for unlimited for 11.9 so most people via same api pricing would end up paying 2x-3x

So what better:
- if you have 8gb vram graphic card give local model a shot
- for complete freedom still local frontend with Openrouter is the best
- Imo if u dont want to setup anything and just want to Rp and maybe looking for a more economical option if u dont wanna pay api pricing then a ai rp platform is good for you.

Also u can try mine at loremate.ai im still learning and building it so if u have feedbacks lemme know :)

If u try and run my ai model lemme know how was it, even though its a year old its a good rp model.