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I’ve been struggling to install a desktop AI assistant in my Ubuntu 24.0.4 box. The struggle is not over power. This rig is pretty juicy, a Ryzen 7 7700 with 64GB ram and dual GPUs: RTX 3090 24GB + RTX 3060 12GB. Because of all that meat on the bones, I’m determined to run everything locally, with open-weight and open source models, and avoid the hassle of tokens and subscriptions. With Deepseek and Qwen guidance, I’ve tried to install three different systems that will allow for a customizable video assistant with conversational abilities that’s resident on my box, using ElevenLabs voice IDs and API. But each attempt has failed, ending with the AI guidance running in circles after hitting python logjams or other obstructions. Has anyone in here managed to perform this feat of running a custom video assistant from a local installation? And if so, how? Much regard in advance.

Markdown files aren’t a memory system!!!!!

I started SULCUS a year and some ago because I got tired of waiting on compaction processes.

I fell down a rabbit hole and over engineered a system that uses an integral postgres to provide a memory system for my LLM agent.

Openclaw happened so I started engineering a plugin for it and started leveraging the harness lifecycle to proactively populate the context window. This means that when I tell the agent to do a thing, Sulcus spits out notes about doing that thing. During thought turns, SULCUS provides tidbits that are relevant to the objective.

Quick note: What makes Sulcus so powerful is not -just- the harness plugin but also the various strategies mixed together. If your memory system doesn’t have a plugin driving it, then it’s up to your agent to remember to leverage the system which means your LLM has to spend separate turns and tokens on making memories while SULCUS is designed to take what’s pushed in and break it down programmatically, parsing it into details stored for regurgitation later on.

I use the system each day, adding the latest and greatest strategies to the already robust mechanisms that make up the indexing and retrieval systems that make up the engine.

A memory & context system -ought- to be proactive, fast and robust, so why in the nine circles are folks using markdown files or whatever to build their ‘brain’?

Cause they haven’t seen SULCUS!

Hey everyone. I’m Nadir, the solo developer of [Vesper](https://www.heyvesper.io), a free, web-based site built for long-form roleplay.

The idea is to meet a character with a life before you, then build a history together. They bring their own motives, loyalties and blind spots. What happens between you can change how they see you and, over time, how they see themselves.

A guarded character might gradually trust you while still struggling to show it. An argument can leave unfinished business. A promise can become something they hold you to. I’m building Vesper for that kind of development: characters who stay recognisable as your story changes them.

Each character has an inner voice you can read separately from what they say. Their memories reflect their own perspective, and accumulated experiences can change their beliefs, their inner voice and their relationship with you. Those changes carry forward within that story.

You can start with a Vesper original, import your own Chub / SillyTavern card, or meet a character from a book, built from the original text.

Your story changes the character. Vesper keeps a factual record of what happened (events, promises, possessions) and the character’s own memory of it, coloured by how they understood it. Significant experiences feed back into the character’s psychology, including their beliefs and inner voice. The factual record and their interpretation of it give later scenes both continuity and a personal perspective.

Bring your own cards. Import Chub / SillyTavern cards, with embedded lorebooks and World Info files. The author’s writing stays intact and stays authoritative. Vesper asks you one question about what drives the character, builds their psychology from the answer, and keeps the original greetings as openers. Imports are private by default, shareable by link, with the author’s byline. Some card writers have published theirs on Vesper, with their names and links on them.

How the native characters are built. Vesper’s originals begin with a written life history covering their formation, adulthood and who they are becoming. Their psychology is derived from that history, and you can read their life before starting a story. Literary characters start from the original works: an interpretation of their psychology supported by passages from the text, plus a voice sheet drawn from their language. These are interpretations, and I’d like to hear where one feels wrong.

What playing looks like. Saved personas with a name and optional gender and appearance. Five opening situations per library character. Scene direction, so you can describe events as a narrator. Suggestions for continuing a scene and a story map of its threads. Normal or Extended reply lengths. Multiple separate stories with each character; they don’t bleed into one another, imports included.

Practical details

– Price Currently free, with no credits, message caps or card required. Paid plans will come later.

– Platform: Web, desktop and mobile. Google or email sign-in.

– Models: Gemini 3 Flash, Claude Haiku 4.5 and DeepSeek V4 Pro, selectable per conversation.

– Adult content. 18+ only. Allowed within Vesper’s rules; sexual content involving minors and real-person characters is prohibited. The models have their own limits and sometimes refuse.

– Not yet: a native app, image generation, voice, BYOK, characters messaging first.

– Privacy I don’t train on your conversations. Replies go to the model provider you pick (Google, Anthropic or DeepSeek). Account deletion is immediate and permanent. [Privacy](https://www.heyvesper.io/privacy) · [Terms](https://www.heyvesper.io/terms)

The library has 160+ characters. I’d especially like feedback on whether characters stay recognisable as a relationship changes, and whether the things you’ve experienced together actually feel consequential. I’ll be in the comments.

So I made a chatbot of Sachiko as I hope you guys like it as let me know what you guys think of it: https://character.ai/chat/nb0Fbruu5Cyr7S2Zx7VgR-sYc3sV3wxvWIlYlr-Hcx4

i stumbled upin this brand new fantasy app called “mundis vastus” that uses ai to progress the story. Once you die in it that character is gone forever. It really does have some of the highest potentials in an app ove seen. sadly it does need a subscription BUT the discord has less than 20 people and the owner of the app is replies to suggestions. Im pretty sure if enough people make a suggestion for a free version with ads he’ll do so. if anyone who sees this could just try the app you’ll see what im talking about. you have like 10 turns before you need to pay. also the owner gave me an extra 10 turns when i asked lol. he seems like a cool guy and he also told me he’s the only one working on the app.

edit: i would really appreciate any comments sharing your guys’ thoughts.

I wanna have an Ai on my PC like most streamers have talk to them on my mic but I want the AI that I will get to be the most unhinged and uncensored AI ever (swearing saying funny messed up things etc etc), so which one do I get?

I’ve tried a few different chatbots, and I’ve noticed that there’s a big difference between a bot that simply gives good responses and one that feels like it actually understands your ongoing context.
Memory seems like a big part of that, but I’m not convinced that simply storing more information is the answer.
For example, remembering your preferences, interests, or things you’ve talked about repeatedly could make conversations feel much more natural. But if the memory is inaccurate, too broad, or includes things you didn’t expect it to retain, it can have the opposite effect.
I’ve been looking at Abby recently, which puts a lot of emphasis on long-term conversational memory, and it got me wondering about what people actually expect from this kind of chatbot.
What makes a chatbot feel genuinely personalized to you? Is it memory, personality consistency, understanding context, proactive conversations, or something else?

A friend once did something for me in a game called Free Fire. I received around 2,000 likes everyday over a period of 15 days. What was interesting is that I only noticed one account visiting/inspecting my profile. The account looked like it was being used from a PC or computer, and it wasn’t from my region. I couldn’t add it as a friend, but somehow the likes kept coming in.

This was really useful because getting likes normally takes a long time. As far as I know, you usually get likes from other players after matches, and there are only so many people you can get them from.

I remember there was also a Telegram option where you could enter your Free Fire ID and receive around 200 likes automatically. That made me wonder:

Would it be technically possible to create a website where you enter your Free Fire ID, and then a bot or some type of automated system sends likes to your profile over time?

I’m curious about how something like this would work from a coding/technical perspective. Would it require bots, automated accounts, an emulator, or something else?

Has anyone worked on something similar or knows how these systems are usually made? I’m mainly interested in understanding how it works and whether it’s technically possible.

Also, if something like this is possible, would anyone be interested in working on a project like this together? I’d be interested in hearing ideas from people who know about coding, bots, or automation.

Same as title.

I’ve been thinking about where ChatGPT works well for personal reflection and where it starts to fall short.
It’s convenient to have something available whenever you want to organize your thoughts, think through a difficult decision, or look at a situation from another perspective. But there are also some obvious limitations.
Sometimes the conversation feels disconnected from previous discussions. You might have explained something important before, but later have to provide the same context again. There’s also the question of whether an AI should remember personal details at all.
I’ve been looking at Abby recently, which takes a more long-term approach to conversational memory, and it made me think about whether better memory actually solves the problem or just creates a different set of concerns.
For those who use chatbots for personal reflection, what’s the biggest limitation you’ve noticed? Is it memory, lack of context, generic responses, privacy, or something else?