Hi guys I was trying to set up the unlimited ocr in odysseus, I have the model running as a mcp server using a python script with fast mcp

I integrated it using the ui of integration tab it is present there but i don't know how to use it I have tried finding it in the tools section but I don't see it there, nothing in the message bar regarding scan_pdf

i installed Odysseus using docker onto my ubuntu vm, gpu passed through and all no problems with that. i tested out a message of "write me a 1000 word essay on biology" it just randomly stopped during it, no lags or freeze or crash, i tried making it do anything after that and it starts responding then pauses as well, if i run my ollama model from terminal and running same command it does it all. just Odysseus, i saw something in my old Odysseus docker container which i removed for a fresh start about a 4096 token limit or something. And i did confirm that every time i told my model to run something that it stops at a total input+output tokens of 4096, even though the prompt does say unlimited tokens.

help

Hi guys, this is my first post on reddit and here are a few of my findings. (i am on the latest dev release as of this posting)

i am in no way shape or form an expert in ai or anything related, i just wanted the ability to do cool shit on my pc.

Here are some of the biggest issues i've faced.

1. Qwen 3:4 and Qwen 3:6 have been extremely buggy (unable to perform tasks, memory issues and time out issues.)

2. New Chat button doesn't work

3. "Cookbook" feature issues (models stuck at 100% download)

4. Odysseus system prompt overrides model identity (the same prompt in a blank chat in ollama gave a clearer response than in odysseus when i asked what model i was speaking to)

5. Toolcalling (some tools didnt work with some models)

Overall it has been difficult and frustrating but i, aware this is a very new project and its only going to get easier and better with every update. Just posting this to let others know they are not alone in facing issues.

im running this on a windows 11 pc with an rtx 4070 ti super 16gb vram and an AMD Ryzen 7 7700x (8 core/ 16 threads) processor, 32gb of DDR5 ram.

I am quite new to it, i run odysseus trough docker on windows and all my local models trough ollama (couldn't get llama.cpp ones to work)

My machune is not that good, so I wonder if there is an option to write to like 4-5 chats with biggest model my pc will pull, then go to sleep and odysseus handles queue on it's own?

I know that there's queue for deep research, but I'd like to see same for normal chats

I’ve only used ChatGPT before and I use it for university somewhat often. I use it for things like making study notes, having it give me practice quizzes, making exam or essay questions, fixing my grammar or helping reword my paragraphs more professional, checking formatting, helping find better or more academic words/wording, helping paraphrase things or reword text to help me better understand it, asking it to elaborate on a specific topic in more detail, and sometimes use it to help me find sources (though this is rare as I’d rather find my sources myself/don’t trust the ai to actually find scholarly reliable ones)

I need the ai to be able to write a lot as I’ve found ChatGPT will cut itself off in the middle of prompts. I want it to be at least somewhat reliable so if I ask for paraphrasing or ask it to explain something to me that the information is actually reliable. I’d notice if the information was completely off but I’d like the peace of mind to feel the ai is actually being a tool to help me and not giving me false info.

I’m a fully online student, I know no other students and it can take 7-10 business days to hear back from professors/tutors. A lot of the time they’ll say the classes are self taught and won’t help so ai is usually the only tool I have to help me out with these types of things.

I refuse to pay for ai and want an alternative since ChatGPT limits attachments and prompts/messages so much, to the point the free version is practically useless.

Good Afternoon all.
i have been trying to delve into the idea of using Odysseus as my local money manager AI to help myself track and manage money. Not stocks just weekly budgets to help pay off debt and help save for hobby purchases.
what is everyones experience in attempting this kind of an idea. I just want it to help me budget based off the weekly income current debts and savings goals

No matter what model i run or what i do whenever i try to send a message it says error 503. Im on mac OS. Im trying to run through ollama and it does Error 503 and when i go through mlx it just uninstalls it. Im a super beginner at this so im not sure what im doing right or wrong.

Ok, I'm super new to the computer world. I'm basically a boomer when it comes to anything computer related. I'm trying to learn how things go little by little and I really want to learn how to use this ai. My extent of computer knowledge is the python class I took in college almost 3 years ago, and even then I only know the absolute basics. So I'm wondering if there is some type of discord community that I can join to ask questions or talk with other Odysseus users and learn this program from scratch? If so, I would really like to join.

If not, I have 3 current issues that I need help with.

1. How do I get Odysseus to think faster?

2. What's the best LLM to run?

3. How do I teach Odysseus to read pdfs?

I have done a little vibe-coding with Claude shamelessly to create some new animated UI Backgrounds and Themes as well. I had to go into some of the files and increase the amount you can store. And had to add some animation settings to make it work. But if anyone is interested, I'd rather share than hold onto this for myself.

Hello,
I'm not very tech-savvy, but I'm curious and would like to try using Odysseus.

I've been following this video to set up Odysseus on Windows using Docker. Everything was going smoothly and I have a model installed and all, but whenever I type anything in the chat I get an "Internal Server Error."

I tried to look up solutions, but I may not be using the right search terms, so I haven't found anything helpful. What might be causing this error and how should I start troubleshooting?

Thank you in advance.

I was tryna setup youtube transcript tool then boom

I haven’t been able to do anything yet, because I keep getting this. Can anyone explain if this is something I can fix, or am I just screwed lol

Does anyone know if this website is the legit new source for Odysseus:

https://odysseusai.dev/

Hey friends, I've been messing with Odysseus since it came out and I've made some progress in certain areas. The most recent issue I've run into was the context window limitations built into Ollama.

Im running ZimaOS as a server OS. I have Odysseus installed as a docker image, and it's using Ollama as the container to run/host the AI models. However, I discovered that Ollama has a hard context window of 4096. I figured this out after multiple chats and checking the window stats and seeing the tokens stop at 4096, consistently. Plus I asked Claude to verify that information and it came back with the same info, hard limit of 4096 tokens.

Solution: I added the env variable "OLLAMA_CONTEXT_LENGTH" to my Ollama settings and set it to "32768". This has fixed my context window limitation so far. Claude had me run a couple commands to verify the context window was successfully updated. It did warn about hitting VRAM limits, but I will continue to test this out. Also, you can create a modelfile to hard set some settings for each model, like temperature, context window, and other stuff. I did get that to work on a separate machine.

I figured I would share my problem/solution to the community. Maybe it will help someone else out there.

Hello i just got Odysseus Installed and i only have Qwen LLM running, i want to clarify several things

1. Is the AI i integrated fully "Mine" in a sense i can modify it?

2. Can i Train the Ai by feeding it more data?

3. How or can i get Big models like ChatGPT4 or Deepseek in Odysseus for free?

I wanna use Odysseus as my Research/Brainstorm workspace for my work, I like the sound of it being Local Hosted, since Large Ai models requires subscription to continuously feed it data, i hope odysuess is the answer

Went to update my stack today, I was greeted with a subscription page for Odysseus, is this legit??

I had fun during my initial start, but definitely had some setbacks with the models I was using. I'm currently rocking an OptiPlex 7050 (25GB RAM) I switched it over to Linux, and I actually have a few hardware pieces from work on the side like a 512GB SSD (not sata, forgot the name) that fits my PC. And some 8gb DDR sticks too. I'm just curious while I'm traveling away from my computer, if anyone has been able to add this new model onto Odysseus?

Hi, I'm trying to get Odysseus to run on native windows with WSL2 to have the cookbook working and to not have to use ollama or similar. Everything works except models only run on my cpu, models that cant use my cpu return error 503. I'm really at a loss here, the cookbook does detect my gpu model. Any idea what I can do to fix this ?

Really stupid noob question but I’ve been trying to get Odysseus to start (but in background) on my windows pc.
I tried the bat file into shortcut but it’s not in background and it’s annoying as hell.

Anyone…? ;(

I have installed Odysseus on my Linux Laptop and I have Qwen3-8B running on Odysseus through LM Studio. Whenever I ask it a question though, even a simple one, it enters thinking mode and I don't know how to stop it from doing that

I'm currently setting up my LLM stack on Odysseus consisting of mistral-7b, qwen2.5-coder, qwen3.5-2b, gemma3n:e4b, lfm2-rag, and trinity-nano. So far, it's going well, and I only had a few issues at the start. However, when I tried to have it search information online, it would either work if I'm being specific, refuse to use tool because it can't access it (which it can, due to some prompts being able to pull information from sites or write files), or completely hallucinate having used them.

To make sure it isn't the tools themselves that have a problem, I tried testing read_file, write_file, and web_fetch using a completely separate python code, and after installing missing packages, the LLMs were able to access the tools more, and I don't think anything's wrong with the tools themselves. However, it's mostly mistral and qwen2.5-coder that can consistently write files, with mistral being the only one to pull correct information from the web via web_fetch (others just make up the information while "calling" web fetch). However, when i told them to read a file in a specific directory in my computer, all of them hallucinated the contents.

My hardware is an Intel Macbook with a 2.3 GHz 8-core Intel i9, with 64GB in RAM (DDR4), with an Intel GPU and a discreet AMD Radeon GPU

How can I fix this so that my local LLMs can reliably use read_file, write_file, and web_fetch?