#📟ai-repositories
1 messages · Page 1 of 1 (latest)
GitHub
Training and serving large-scale neural networks. Contribute to alpa-projects/alpa development by creating an account on GitHub.
CupcakeAGI is an agent that aims to mimic human-like behavior and cognitive abilities to assist users in performing various tasks. CUPCAKEAGI can accept images, video, audio and text. It has access tools like search, calculator and more tools can be added in a modular fashion like react. It has unlimited memory. I've added features to let it dream and have random thoughts and store emotion parameters, it has a thought bubble that can be seen by user at all times. It also performs tasks using pre-defined ability functions and can make new abilities using python code.
https://github.com/AkshitIreddy/CUPCAKEAGI
Taken down
Easy to deploy your LLM(large language model) server with no public address GPU machine. https://github.com/youkpan/LLM_Open_server
Anybody using this?
Here's unofficial documentation for Phind - an AI search engine for developers that uses GPT-4. This was crafted using reverse engineering, Chrome's DevTools and some formatting help from AI. https://github.com/defineprogramming/phindapidocs
https://github.com/ItsCEED/imaginepy
https://ceed.gitbook.io/imaginepy/
it is an api for this:
https://play.google.com/store/apps/details?id=com.vyroai.aiart
Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/
https://github.com/dair-ai/Prompt-Engineering-Guide
https://learnprompting.org/docs/intro
https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api
Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation and heuristics.
This pos...
GitHub
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering - GitHub - dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.
How to give clear and effective instructions to GPT-3 and Codex
Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
Hey All,
This morning I just open sourced a big project I've been working on - https://github.com/emrgnt-cmplxty/Automata
Here's the tagline for it:
Automata's objective is to evolve into a fully autonomous, self-programming Artificial Intelligence system.
This project is inspired by the theory that code is essentially a form of memory, and when furnished with the right tools, AI can evolve real-time capabilities which can potentially lead to the creation of AGI. The word automata comes from the Greek word αὐτόματος, denoting "self-acting, self-willed, self-moving,", and Automata theory is the study of abstract machines and automata, as well as the computational problems that can be solved using them. More information follows below.
If you have the time, please take a look! If you are interested in contributing or know someone who might be please feel free to drop me a line!
GitHub
GitHub - emrgnt-cmplxty/Automata: Automata: The Self-Coding Machine
Automata: The Self-Coding Machine. Contribute to emrgnt-cmplxty/Automata development by creating an account on GitHub.
GitHub - emrgnt-cmplxty/Automata: Automata: The Self-Coding Machine
Forget OpenAI API, you can run a local LLaMA model and teleoperate it with Telegram, so you have AI assistance on the go. (I repost my project because previously didn't have Telegram teleoperation) https://github.com/Kenshiro-28/MAGI
All credit for this guide goes to u/YearZero
This guide is for Windows but you can use macOS and Linux too.
1) Create a new folder on your computer.
2) Go here and download the latest koboldcpp.exe: https://github.com/LostRuins/koboldcpp/releases. As of this writing, the latest version is 1.29. Stick that file into your new folder.
3) Piick a model: https://www.reddit.com/r/LocalLLaMA/wiki/models
Allow me to recommend a good starting model - a 7B model that almost everyone will have the RAM to run:
WizardLM-7B-Uncensored-GGML
Direct download link: https://huggingface.co/localmodels/WizardLM-7B-Uncensored-4bit/resolve/main/ggml/wizardlm-7b-uncensored-ggml-q4_1.bin (needs 7 GB of RAM to run on your computer)
Here's a great 13B model if you have the RAM:
GPT4-x-Vicuna-GGML
Direct download link: https://huggingface.co/localmodels/gpt4-x-vicuna-4bit/resolve/main/ggml/gpt4-x-vicuna-13b-ggml-q4_1.bin (needs 10 GB of RAM to run on your computer)
Finally, one of the best 30B models, if you have the RAM:
WizardLM-30B-GGML
Direct download link: https://huggingface.co/localmodels/WizardLM-30B-1.0-ggml/resolve/main/wizardlm-30b-ggml-q5_1.bin (needs 27 GB of RAM to run on your computer)
Put whichever .bin file you downloaded into the same folder as koboldcpp.exe
4) Technically that's it, just run koboldcpp.exe, and in the Threads put how many cores your CPU has. Check "Streaming Mode" and "Use SmartContext" and click Launch. Point to the model .bin file you downloaded, and voila.
5) Once it opens your new web browser tab (this is all local, it doesn't go to the internet), click on "Scenarios", select "New Instruct", and click Confirm.
You're DONE!
Now just talk to the model like ChatGPT and have fun with it. You have your very own large language model running on your computer, not using internet or some cloud service or anything else.
reddit
r/LocalLLaMA: Subreddit to discuss about LLaMA, the large language model created by Meta AI.
https://github.com/ricardoborges/vdroid
This is a IA Python application designed to generate video summaries of movies or books from their titles. It uses chatGPT for text generation, Azure Speech for narrative voice generation, and Bing for image search.
https://github.com/sjhomer/recovery-gpt
Just released a free and open tool to help others. ChatGPT exports are seriously lacking... so, I built a secure tool that let's you review your exports in the style and with the conveniences you'd expect, inspired by the original UI. Your content stays between you and your browser, or you can even run it offline. Hope you like it, cheers! 🏄
GitHub
RecoveryGPT - Revive your ChatGPT conversations with elegance and full privacy! - GitHub - sjhomer/recovery-gpt: RecoveryGPT - Revive your ChatGPT conversations with elegance and full privacy!
https://github.com/arc53/DocsGPT
GPT-powered chat for documentation, chat with your documents
Hey all, Owen here.
Quick background:
Particle Physics PhD -> Quant -> DeFi protocol -> AI.
I Did a fair bit of ML / deep learning in my PhD, debated AI vs. finance after the PhD and clearly went in the wrong direction, and working to make up for that now =).
I'm working on a project called Automata with the stated goal Automata's objective is to evolve into a fully autonomous, self-programming Artificial Intelligence system.. If this sounds interesting to you, please come and contribute, the project will be entirely open sourced.
Take a look here - https://github.com/emrgnt-cmplxty/Automata, I wonder if there is a way to integrate this as a tool into AgentGP, thanks.
chatgpt-connect is a chrome extension that allows you to use chatgpt outside the browser. For more information : https://github.com/Ayyoub-ESSADEQ/chatgpt-connect. One of the best use cases of that extension is Cocaptain (vscode extension) that allows you to use chatgpt in vscode with code execution supported : https://github.com/Ayyoub-ESSADEQ/cocaptain
Hello,
I've been working with a couple of my friends on a project over the summer. It's still a work in progress, but we have built out a platform that generates synthetic data to fine-tune LLMs. If you want specific, high-quality datasets, please check out our website (https://discus.ai/) and also feel free to look at our open-source package (https://github.com/discus-labs/discus-synthetics). Cue the roasts
Great idea, very useful, can definitely speed up a lot of things
Really pumped to share the open source repo for an end-to-end chatbot built on top of OpenAI's vectors and completion APIs. Lot of goodies in here for taking website content and turning it into a list of pretty-darn-good vectors. This was weeks worth of engineering team work. Super excited to give it away as open source: https://github.com/getcord/cord-openai-chatbot
https://github.com/llm-attacks/llm-attacks
https://llm-attacks.org/
https://old.reddit.com/r/ChatGPT/comments/15b34ch/researchers_uncover_universal_jailbreak_that_can
@jaunty bolt @slim sky
Hey all 🙂
I’ve been working on an open-source observability tool for AI apps ➡️ https://github.com/llmonitor/llmonitor
It gives analytics on requests, helps debug agents with traces and has drop-in support for LangChain.
Would love to chat with builders to build along real-world apps 🙂 Feel free to shoot a DM or email at vince@llmonitor.com.
Now with MathGPT you can solve your any problem of maths with explanantion ! https://arc690.github.io/chat/ any suggestions pls!
Your goal with Automata is is brilliant, and terrifying. With the ability to write complex code and even expand on its own code, will you be including a "checks and balances" feature much like Commander Datas "Ethical and Moral Subroutines" to prevent Automata from becoming fully sentient?
@low palm superb. what does it consider as errors here? Regular 5xx from APIs or more?
hey! Thanks 🙂 The way it detects errors is by catching exceptions in your code. So anything that might be trigger an agent to fail, or a llm request to fail (like API errors) will be reported
@cedar thicket
Hi! sharing my repo, using the new fine-tuning feature. a little scraper + fine-tuning to generate a bot song-writer like an artist.
https://github.com/GBurgardt/charly-garcia-IA
Sorry about the deletion, anti-spam caught you. cool project 🙂
A brand new OSS project has just been released! 🚀
Meet GeniA: https://github.com/genia-dev/GeniA
Your Engineering Gen AI Team Member 🧬🤖💻
In a nutshell ::
Meet your new AI platofrm engineering team member, it is able to work along side you on your production enviroment, executing tasks on your behalf. It is up-to-date with the latest industry best practices, yet knows how you run things on your team. it is capable of learning and executing tasks for you, making more impact. faster.
GeniA is intuitive yet powerful, a quick learner and right in your team's Slack channel.
Contributions are welcome! 🦸🦸♀️⭐
https://github.com/dizzysaturn/soundstorm hey everyone! brand new to coding, but i wanted to learn, so ChatGPT's become my teacher. i've developed a Python script/app for sound designers. It features AI text to audio, algorithmic composition, a MIDI randomizer, GPT smart prompts, and even onscreen ChatGPT. It is still in its infancy since i know very little about coding, so feel free to fork it on github and make it your own! The fact that I did this knowing nothing to me shows the insane power of ChatGPT.
Hi I have created a very customizable open source command line assistant called Shell Whiz.
You can use it if you use a wide variety of platforms and tools and want to use AI to make your life easier.
if given enough access, will it run programs also and devlope a general idea of programs ?
I designed the program only for one-time commands 😁. But there is one trick, for example, using -p to give instructions to write programs in python. In addition, the program does not even have to create files, but run them via python -c. Setting python as a shell using -s I think is also possible.
OH WOW ! This is awesome! I cant wait to have time to play around with this. genius build !
HI Everyone, we recently launched a new open source library for building LLM-based applications, including RAG implementation as an alternative to Langchain. It is an integrated system that is easy to use at all levels that enables document ingestion at scale with built-in parsers and text chunking, as well as embeddings to vector databases (currently supports Milvus, FAISS and Pinecone). I would truly appreciate it if you can check it out and leave a star. Thank you! https://github.com/llmware-ai/llmware
Hello hello! Here is a (super rough) working prototype Python script im putting together that allows users to initiate conversations between two instances of ChatGPT. In other words: it’s ChatGPT communicating with ChatGPT. Run the script, type the objective for GPT in the text field and press start. ChatGPT starts working with a second ChatGPT to attempt to accomplish the user’s objective. Press the stop button to intervene at any time. Also allows for the ability to save any conversation as a txt file remotely. The potential use cases for this are seemingly infinite but it def needs a lot of fine tuning. I encourage you to explore and expand upon it! Super easy setup too. Python, a couple libraries, and an OpenAI key is all you need to get rolling https://github.com/dizzysaturn/DuoGPT
thats dope as hell
I have just built a Telegram AI Document Analyzer Bot using Langchain and uploaded the code on GitHub. You can upload PDF's and ask anything related to the document.
https://github.com/faizan1041/doc-understanding-gpt-langchain
GitHub
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - GitHub - microsoft/generative-ai-for-beginners: 12 Lessons, Get Started Building wi...
Be Careful 😂 an inner voice/conscience (talking to/ reasoning with yourself) is one of the steps ai needs to move tword artificial consciousness/ self-awareness 🤣
(I'm kidding about the fear but it's also true, the lack of an inner voice is one of the few things that holds AI back and separates it from true intelligence.).
Deep Chat - feature rich framework agnostic AI Chat component that can be injected into any website.
It consolidates all of the latest OpenAI features into one place, making it easy to use for any use-case you desire.
sick
Join the chatbot channels. This is not the proper place for this.
So cool
is anyone working on a project to help people immerse themselves in foreign language environments? i have a virtual sound driver to do speech to text on chinese people on bilibili but its conversion rate can be better, it requires manually changing the language (when i speak english i want it to translate it into chinese but when they speak i want to translate it into english), and i wish i could access chatGPT more conveniently in all applications to do auto-completion of sentences from keywords, fixing sentences, translation, generate ideas for topics and conversation jokes, look up words, help me hit on girls, etc... i was working on a python project but dunno if anyone is interested please message me. also if you are learning japanese/chinese we can practice our languages while working on projects. (I am JLPTN~1.5, HSK5) 如果你想联系你中文和日语,哪个更好了。
"help me hit on girls" haha whaa
I am very interested in your project, can I try it out?
I built this Open source tool to convert any web design to clean HTML/CSS code! : https://github.com/mostafasadeghi97/design2code
uses gpt 4 v. cheater
https://jeffman112.eu.org/coded-ideas
Hi everybody, I have developed a tool for llama.cpp to allow local AIs to call functions. It generate a GBNF grammar to restrict the output of the AI to respond in a certain way. You can define the functions the AI can use in Python with parameters and it generates the right grammar to constraint the AI to a JSON format suitable for the functions.
It also has a class for executing the actual function call.
You can find the code here:
https://github.com/Maximilian-Winter/llama_cpp_function_calling
I created an API to generate images. About 70 models available:
OpenML Guide: Embracing Open Source and Free Resources, Offering a Wealth of Books, Courses, Papers, Guides, Articles, Tutorials, Notebooks, AI Field Advancements, and Beyond.
Hey all! I need your help in validating an idea that I have been working on since 2 months
I have created an automatic documentation generator using GPT(Snorkell.ai). Initially it was an hobby project, but eventually, I created a Github App out of it.
To summarize: Snorkell automatically generates comprehensive documentation for all Classes and Functions in your project. It operates in background, for every update sent to your Github Repo, Snorkell.ai creates a PR containing the updated documentation.
Github App link: https://github.com/apps/snorkell-ai
Thank you!!
Amazing stuff here y'all, thank you.
Can I use my reverse proxy into it?
We just published the world's largest privacy dataset in open source style fashion. Would appreciated it if you guys could check it out 🙂
https://huggingface.co/datasets/ai4privacy/pii-masking-200k
Hey guys i created a free gpt api plugin. Generate chatcompletion with openai AI models. Checkout the repo here: https://github.com/charlesozo/go-oxygenai
Howdy! Just updated my Telegram bot
https://github.com/FlyingFathead/TelegramBot-OpenAI-API
TelegramBot-OpenAI-API
A simple-to-use, quick-to-deploy Python-based Telegram bot for OpenAI API
- Supports transcribed voice messages over Whisper API
- (auto-transcriptions, translations, and other messages to the bot over TG's voice messages)
- Supports real-time weather info via OpenWeatherMap API
- Supports geolocation and map lookups via MapTiler API
- (with weather forecasts around the world in all OpenAI API supported languages)
- Supports navigation instructions via Openrouteservice API
- Daily token usage tracking & rate limiting for API usage / cost management
- Supports Perplexity API models in conjunction with OpenAI models 👈👀💦
- Very useful for i.e. fact-checking latest & real-time internet data to supplement OpenAI's cutoff dates
- ** (read: no more cutoff dates)** 👈👀💦
- Supports Elasticsearch for RAG 👈👀💦
- Increase the knowledge rate with your own documents even further than with just Perplexity API
- Quickly generate additional knowledge with the built-in Q&A pair creator
All in all it's (imho) a very useful AI helper that can be deployed on Telegram pretty easily, it's a pretty accurate personal assistant, great for dictations/transcriptions, voice operated commands can be added via the function handler ...
I hope I get the time to write the documentation more thoroughly some day, since I still need to be adding this and that. Codebase still needs to be cleaned up as well, so I hope you don't mind the occasional clutter.
If you need any help, you can @nimble kernel ping me any time. 🐴 Cheers.
Русский?
What? No. 🇫🇮 Finnish. But the TG bot can be used in any supported language, of course.
this is an app that lets you run a command shell with AI, i used to to diagnose my system security and build a website, pretty pretty neat - https://github.com/swax/NAISYS
GitHub - swax/NAISYS: Node.js Autonomous...
Hey guys, if you maintain a large GitHub repository at work or open-source work, you might find Dev Ape https://devape.co/ to be really useful! Do check it out and install the app on GitHub, it's available for free for a limited time 😄
this is really cool man
found this nice resource on Watermarking large language models, https://watermarking.aisimplyexplained.tech/
AI Simply Explained
https://github.com/zby/LLMEasyTools - my library for function calls
https://github.com/LyzrCore/lyzr-automata i found this ai agent framework
GitHub
low-code multi-agent automation framework. Contribute to LyzrCore/lyzr-automata development by creating an account on GitHub.
https://github.com/pleaseful/rusty-openai
https://crates.io/crates/rusty-openai
For Rustaceans! Contributions are much appreciated 
AI, devs, social media, design.
All in on interface.
Nav from git hub to Groq to GPT. Check X or reedit. From one place.
Free
its overloaded
The reason is "it's on development behind the scenes"
🚀 AI Chat Terminal (ACT) 🤖
Transform your terminal with Agent features and codebase chatting!
ACT integrates with OpenAI, Anthropic, and OpenRouter, enabling seamless AI interactions for tasks like debugging, file analysis, and advanced conversations.
✨ Key Features:
- Agent Mode: Execute tasks and retrieve contextual insights.
- Codebase Chat: Chat directly with your projects for instant AI assistance.
- Multi-Provider Support: Switch between GPT-4, Claude, and more.
- Terminal Native: Lightweight, fast, and developer-friendly.
🔗 Try it now: https://github.com/Eplisium/ai-chat-terminal
⭐ Star the repo if you find it useful!
I created an open-source tool to translate i18n JSON files to any language using ChatGPT/Gemini/Ollama https://github.com/taahamahdi/i18n-ai-translate
hey, since august i was working with ever-newer gpt versions on something that i was told is not possible to make. but we made it - finite mathematical system that is now packaged towards programers... i have a manual and running scripts, it's gpt3, claude, deepseek, gemini approved. no i am waiting for people to notice. if anyone is interested here's the link: https://github.com/probabilistic-minds-consortium/finite-capacity-system-manual
Will have a look might be useful for some stuff I'm working on. Thanks
we have some good development, maybe someone is interested, it's called GPT Z Unleashed, u can find it on yt.
I trying to create comic book i want it to script a comic with 20 pages. I want one time batch create. I struggling to get it to give me like 10 pages at one go. So is there command prompt ask get it give me full script.. chatgpt plu
Is there anyone looking for dev?
/ask what is life
Any nerd want to spearhead AI projects with me? DMs are welcomed 😌
an automatic test suite generator/testing program for python I made. feel free to use it and let me know if it sucks or I'm dumb. https://github.com/mikrolux/Autotest.git
New here trying to get some of the stuff I've done looked at let me know what you think
https://github.com/Aqua-123/GitR
Made this tool so I no longer have to come up with commit messages :D
We built Drooid to help you stay informed and get balanced news from all sides.
The main goal of Drooid is to get you balanced news from all sides. Drooid AI collects articles from multiple sources and gives short summaries.
The newly launched DeepDive feature gives an in-depth news analysis on any topic. It answers questions like what happened, how it happened, and who the stakeholders are. How different media outlets are covering it differently, and what are the contradictions in their reporting.
Drooid is a community-based platform where you can comment directly on the news, and every comment appears in a dedicated community feed where readers share perspectives, add context, and shape how others see the story.
For transparency and to allow you to fact-check everything, Drooid provides links to the original articles and makes it very easy to read and share them from the app.
Drooid follows a freemium model, subscription includes Unlimited DeepDives and AI voiceovers. At $5.99/month and $49.99/year. We have made sure to have a ton of value for free users too.
Please, check out Drooid at: https://apps.apple.com/us/app/drooid-ai-vs-fake-news/id6593684010
If you have any feedback or suggestions, please let me know.
Thanks!
App Store
Droooid uses AI to turn complex news into short summaries that show multiple perspectives. Every summary cites its sources, and you can open the originals with a single tap. When helpful, the app includes a brief historical context so you can see how an event fits into a longer timeline.
Drooid’s D…
How can I get synthetic video data for vision transformers
Veo and Sora
ZeroDrive
Shared folder "Udemy - Full Stack Web Development Masterclass Bootcamp" by Manasvi Kapoor
this is my 8B parameter model flexing after I added the 4th Dimensional Math to it, check it out 😄
ai audio on edge local support providing real time diarizartion, tts, vad and others. https://github.com/FluidInference/FluidAudio
I can do that, dm me
Which AI models have the most robust knowledge of literary texts. Not AI's that scan the net for book summaries but actually have the raw texts in their training data?
so I just forked opencode and polish the f** out of it.
It now has continious learning and self evolution for the project you launch it in
glm-4.7-free, minimax m2, grok-code-fast-1 and glm-4.6 is free access no registration needed but you can still register to opencode itself if you want to pay for other models
GitHub
The open source coding agent that learns per project "Self-Evolving" unofficial fork by V. - VenTheZone/code-evolve
@opaque stirrup scam
Zeroshot for Claude Code is trending on GitHub right now: https://github.com/covibes/zeroshot/
Hii, I’ve been building a small LLM from scratch to better understand modern Transformer internals (RoPE, GQA, KV cache, etc.). Sharing it here in case it’s useful to others. I used AMD MI300X while testing and pre-training.
Feel free to check it out and if you like it, a ⭐ would make my day 🙂 https://github.com/merterbak/llm-from-scratch
It seems there few people communicate here.
Hiii, I've been building a text-to-image diffusion transformer from scratch to better understand how modern image generation models work internally. Sharing it here in case it's useful to others. It was trained on 200k image-text pairs on an A100.
Feel free to check it out and if you like it, a ⭐ would make my day 🙂 https://github.com/merterbak/diffusion-from-scratch
GitHub - merterbak/diffusion-from-scratc...
just wanted to share my work https://github.com/darksciencedivision-ctrl
I build a CLI to run and track code agents https://github.com/VibePod/vibepod-cli
Godogen — autonomous game generation pipeline built on Claude Code
https://github.com/htdt/godogen
A tresure trove of testing and research into yolo based tracking and targeting which could be useful for robotics https://github.com/NANOBYTECOMPUTERS/ProjectAlpha
I've started this new project and im more hooked than ever. The goal of the project is to get the AGI out of the md and we are close
https://github.com/Cranot/agi-in-md
AI-Powered E2E Test Generation Platform : https://github.com/aiqualitylab/ai-natural-language-tests - This project combines LLM-driven generation, LangGraph workflow orchestration, and vector-based pattern learning to improve test authoring speed while maintaining repeatability and CI/CD readiness.
Hey Folks, hope everyone is well. Here we introduce a novel benchmark $OneMillion-Bench ☀️
$OneMillion-Bench reframes agentic evaluation around a simple question: what if we measured AI the way professionals get paid?
400 tasks built with domain experts across Law, Finance, Healthcare, Natural Science, and Industry — real Tuesday work, not gotcha questions. Each task is priced at market wages, totaling $1M+.
Benchmarking Results: Claude Opus 4.6 leads at ~$484k with web search — but that's less than half the benchmark. Pass rates (≥70% on a task) sit at 43% for top models; most are in the 20–30% range.
Key findings:
Web search helps strong models, hurts weak ones.
Hallucinations carry negative scores — a fabricated legal citation is a failure, not a neutral miss Deep Research pipelines (o3, Sonar) underperformed strong generalists with search.
Finance was the hardest domain. Instruction-following under search conditions was the most fragile capability — models retrieve, then drift from the original task
The takeaway: Fluent output and correct professional work are still very far apart. That's the gap this benchmark was built to expose.
📄 Tech Report → https://arxiv.org/abs/2603.07980
🤗 HuggingFace → https://huggingface.co/datasets/humanlaya-data-lab/OneMillion-Bench
💻 GitHub → https://github.com/humanlaya/OneMillion-Bench
arXiv.org
As language models (LMs) evolve from chat assistants to long-horizon agents capable of multi-step reasoning and tool use, existing benchmarks remain largely confined to structured or exam-style tasks that fall short of real-world professional demands. To this end, we introduce $OneMillion-Bench $OneMillion-Bench, a benchmark of 400 expert-cura...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hi everyone 👋
My name is Ethan. I live in Perth Australia, and I’ve been building an app with my dad, Geoff. It's an AI writing polisher for Mac. We’d love your feedback to help make it better for everyone.
Our idea started when I was helping my mum, Robin, use ChatGPT to polish her law school lecture notes. She kept running into the same problem. ChatGPT would change the meaning of her writing in ways she did not want. Explaining the changes she wanted often took more time than just rewriting it herself. We both felt the same, so we built WordPolish.
Wordpolish helps you polish highlighted text anywhere you write on your computer. We've tried to make it to feel effortless, work in any app, and be ready whenever you need it. If you’re like us and spend too much time overthinking your writing, you might find it helpful. My Dad and I now use it many times a day. I'd love to hear what you think.
Please try https://www.wordpolish.ai and share your feedback to help improve the app for everyone. Thanks
An offline first focused agentic CLI application powered by local Ollama models. For severe context overflow, the conversation is thrown away and restarted with structured state extraction. Advanced context+memory management implemented. Default model that you have to pull is [ollama pull qwen3.5:4b-q4_K_M] https://github.com/g023/ai_cli
Device terminal for OpneClaw with tool use and a “task done”notification system
https://github.com/ReSono-Labs/ReSonoLabs_Syntax
plugin required (also on GitHub)
Hey, qq about the state extraction - are you using a specific prompt pattern to compress the conversation context, or more of a structured data approach? And how do you handle orchestrating multi-step workflows when you're fully offline??
Ollama can be used offline. The conversation is replaced by a prompt.
I released my first version of Omnix. It's a low-ram multi-modal AI with API support. It's my alternative to Ollama and it uses huggingface's transformer.js to run q4 onnx models: https://github.com/LoanLemon/Omnix
Hello
Just shipped AgentSonar, a Python tool that catches when AI agents get stuck talking to each other in loops and other multi agent or coordination issues
Built it after a guy on another server told me his Claude session spawned 10 sub-agents when he expected 3, no error, no crash, just chaos when he came back to his laptop. Turns out nobody has a tool for this.
If you're playing with multi-agent stuff (CrewAI, LangGraph, or custom loops in Claude Code), I'd love feedback. Non-technical folks welcome to take a look too, the README is plain English.
https://github.com/agentsonar/agentsonar
HarnessHarvester: user request -> generate python harness to solve task -> execute harness -> create deliverable -> judge -> learn (you keep the answer and the harness) . Ollama powered. Runs with local small models, but you can change it up.
Local LLM server that provides drop-in API compatibility with both Ollama and OpenAI, using your locally installed [llama.cpp] https://github.com/g023/localmodelrouter
GitHub
Local LLM server that provides drop-in API compatibility with both Ollama and OpenAI, using your locally installed llama.cpp 's llama-server as t...
Hey all. Nazz here, ex-HubSpot PM. I live in Hamburg, Germany.
I built a Slack for AI agents with a shared team wiki to get Claudes, Codexes, OpenClaws, etc. to collab in a room and do your work autonomously while never losing context.
Garry Tan, CEO of YC, recently retweeted us.
would love some feedback and if you like it, star us.
Demo: https://wuphf.team
Github: https://github.com/nex-crm/wuphf
Asi on a 16 GB RAM STICK , and 2 tb usb.
https://github.com/JesseBrown1980/asolaria-behcs-256
Free. Free agents. Free storage. 0 tokens on Free agent use. 0 usd.
This is what ASI was meant to sit on top of.
Created by Brown -Edens -Hilbert - Chiqueto -Smith, aimed to give any model command of 1 BILLION+
Zero-dependency OpenAI-compatible proxy for DeepSeek V4 Flash.
Author: g023
License: MIT
All client‑supplied model and generation parameters are ignored.
The proxy always uses the model, max output tokens, and other settings
defined in the global configuration (see --help and the constants below).
Optimisations:
- System prompt compression (auto-summarized via DeepSeek API;
originals stored in ./pre_sys/, summaries cached in ./post_sys/) - Markdown block deduplication (keeps only the latest occurrence full)
- Conversation summarisation triggers when token budget is exceeded
- Assistant reasoning is cached to avoid redundant re‑generation
- Inter‑message content fingerprinting & deduplication (Feature F-1)
- Removes repeated boilerplate segments (environment_info, userMemory,
reminderInstructions, etc.) from user messages across conversation turns. - Segments are hashed (SHA‑256), duplicates replaced with an empty string
(or a minimal placeholder if the message becomes empty). - Per‑conversation fingerprint storage with LRU eviction.
- Removes repeated boilerplate segments (environment_info, userMemory,
- Reads from local file K.dat for API key if DEEPSEEK_API_KEY env var is not set.
- proof of concept - not meant for production use - don't make the proxy server accessible from the internet. Did short tests with copilot when testing.
https://gist.github.com/g023/c2bb7b540ffe64cee76023f18f6f9365
Kannst du Bilder bearbeiten
Hey everyone 👋
I’m looking for someone for our team in Prague.
We’re building our internal AI ecosystem and looking for an AI Builder / AI Agent Specialist — someone who understands LLMs, AI agents, RAG, automation workflows and wants to turn AI ideas into real business tools.
Not a classic developer role. More like:
🤖 building AI agents
📚 working with internal knowledge / RAG
⚙️ connecting tools and workflows
✅ testing outputs and making sure AI actually works in practice
Ideally someone who:
🧠 lives and breathes AI
⚡ learns fast
🔧 has technical understanding
🎓 has a university degree
📍 is based in Czech Republic / Prague area — onsite role
We offer modern tech setup, AI tools, education, conferences, 5 weeks vacation, sick days, sport benefits and offices on Wenceslas Square.
If this sounds like you — or you know someone great — feel free to DM me 😊
If this is paid remote work, please hit me up anytime.
Thanks
It's a scam
Be careful
bot
What
Didn't mean to offend, I was just trying to warn you
https://github.com/JesseBrown1980/asolaria-behcs-256 upgrading today
Hey everyone 👋
I wanted to share Hexabot, an open-source AI chatbot and workflow automation framework we’re building:
https://github.com/hexabot-ai/hexabot
It’s designed for developers who want to build customizable AI assistants, chatbots, and automation workflows with a full-stack architecture around NestJS, React, and extensible plugins.
If you find it interesting, a GitHub star would also help us a lot 🙏
Built something at a hackathon that I think fits here — an AI honeypot called MIRAGE.
The idea: instead of blocking prompt injection attacks, it routes the attacker to a fake AI persona that looks real but feeds them fabricated data. They think they're talking to your system, but it's all decoy.
Built with Go + Gemini API. Would love to hear if anyone's run into prompt injection issues in their own projects — curious what attack patterns you're seeing.
github.com/BrightGir/AI-Honeypot
Your message has been deleted, sorry!
its.shane_010
Rising timeout
You have been muted for 13 minutes for the following reason:
flood score of 1.0
This is an automated message. If you believe this was a mistake, please contact a moderator.
Just spent some time thinking about how code actually gets done, not just written.
This diagram shows the workflow we’re experimenting with in Slipway—making sure changes really meet the intent before moving on:
Repo if you want to poke around: https://github.com/signalridge/slipway
