#📟ai-repositories

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craggy coral
pearl vine
pearl vine
pearl vine
cloud mulch
torpid dawn
harsh bronze
#

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

GitHub

🧁👋 Welcome to CupcakeAGI, where we bake up some sweet and creamy AGI goodness! 🍰🤖 - GitHub - AkshitIreddy/CUPCAKEAGI: 🧁👋 Welcome to CupcakeAGI, where we bake up some sweet and creamy AGI goodness! 🍰🤖

mint bolt
echo geode
#

Taken down

torpid dawn
craggy coral
unborn marten
pearl vine
mint bolt
#
GitHub

ImaginePy, opensource (reversed), Midjourney. like API. Generative Art at 0 cost. - GitHub - ItsCEED/Imaginepy: ImaginePy, opensource (reversed), Midjourney. like API. Generative Art at 0 cost.

Turn words into stunning AI-generated Art, Paintings and Drawings instantly!

craggy coral
craggy coral
thorn crane
craggy coral
crisp quest
fading cloud
craggy coral
#
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.

idle shell
#

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

GitHub

Automata: The Self-Coding Machine. Contribute to emrgnt-cmplxty/Automata development by creating an account on GitHub.

oak magnet
craggy coral
#

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.

pale island
#

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.

GitHub

Contribute to ricardoborges/vdroid development by creating an account on GitHub.

haughty sapphire
#

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!

edgy yew
opaque stirrup
spring remnant
idle shell
#

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.

vale radish
#

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

GitHub

Cocaptain extension allows you to connect to ChatGPT directly from within your Visual Studio Code editor, enabling you to leverage its advanced natural language processing capabilities without leav...

scarlet socket
#

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

edgy yew
tame patio
#

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

GitHub

Build a chatbot using Cord and OpenAI. Contribute to getcord/cord-openai-chatbot development by creating an account on GitHub.

opaque stirrup
#
GitHub

Universal and Transferable Attacks on Aligned Language Models - GitHub - llm-attacks/llm-attacks: Universal and Transferable Attacks on Aligned Language Models

low palm
#

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.

GitHub

Contribute to LLMonitor/llmonitor development by creating an account on GitHub.

calm scarab
slow urchin
spark goblet
#

@low palm superb. what does it consider as errors here? Regular 5xx from APIs or more?

low palm
opaque stirrup
dire tusk
#

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! 🦸🦸‍♀️⭐

GitHub

Your Engineering Gen AI Team member 🧬🤖💻. Contribute to genia-dev/GeniA development by creating an account on GitHub.

dense cedar
#

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.

GitHub

Soundstorm is an advanced audio manipulation tool powered by AI. Generate text-to-audio music and sound design, generate and customize algorithmic drum loops, create algorithmic sample packs, rando...

rocky canyon
strange oxide
rocky canyon
strange oxide
primal shard
#

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

GitHub

Providing enterprise-grade LLM-based development framework, tools and fine-tuned models. - GitHub - llmware-ai/llmware: Providing enterprise-grade LLM-based development framework, tools and fine-t...

dense cedar
#

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

GitHub

Initiate a seamless and dynamic conversation loop between two ChatGPT instances. Kind of a different take on AutoGPT. - GitHub - dizzysaturn/DuoGPT: Initiate a seamless and dynamic conversation loo...

radiant steeple
unborn marten
pearl vine
random sun
queen ore
unborn marten
#

Join the chatbot channels. This is not the proper place for this.

cunning oak
#

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。

stable valley
dusty musk
strange pollen
candid matrix
#

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

GitHub

Contribute to Maximilian-Winter/llama_cpp_function_calling development by creating an account on GitHub.

jovial dragon
kind birch
opaque stirrup
storm haven
#

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!!

GitHub

GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.

pearl yacht
signal tendon
hallow burrow
shadow grail
#

Amazing stuff here y'all, thank you.

bright oasis
dense sand
nocturne iron
nimble kernel
#

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.

GitHub

A feature-rich Python-based Telegram bot for OpenAI API & Perplexity API - FlyingFathead/TelegramBot-OpenAI-API

nimble kernel
frosty valley
frozen bolt
#

GitHub - swax/NAISYS: Node.js Autonomous...

bright oasis
fair wren
#

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 😄

DevApe is an AI maintainer for high-volume, open-source communities: living in your GitHub repo, organizing & triaging issues, and reviewing & summarizing Pull Requests!

exotic zephyr
#

this is really cool man

exotic zephyr
lament flax
shut totem
pearl vine
crystal rune
bright oasis
carmine vale
#

🚀 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!

GitHub

Terminal Script for OpenAI and OpenRouter API models. Let's make this a functional performing script. - Eplisium/ai-chat-terminal

mystic ridge
red zealot
#

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

GitHub

Manuals and documentation for the Finite Capacity System. - probabilistic-minds-consortium/finite-capacity-system-manual

lilac kestrel
tawny grove
crystal anchor
#

we have some good development, maybe someone is interested, it's called GPT Z Unleashed, u can find it on yt.

upbeat mural
narrow bramble
#

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

warped apex
ocean depot
sweet crown
#

Is there anyone looking for dev?

hollow pendant
#

/ask what is life

simple basin
#

Any nerd want to spearhead AI projects with me? DMs are welcomed 😌

thick valve
foggy compass
ivory urchin
half zodiac
#

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…

winter isle
#

How can I get synthetic video data for vision transformers

ivory urchin
digital ferry
#

this is my 8B parameter model flexing after I added the 4th Dimensional Math to it, check it out 😄

stray dawn
wraith zenith
#

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?

idle ether
#

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

https://github.com/VenTheZone/code-evolve

GitHub

The open source coding agent that learns per project "Self-Evolving" unofficial fork by V. - VenTheZone/code-evolve

winged sun
#

@opaque stirrup scam

spark nova
brazen horizon
#

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

GitHub

Train LLM from scratch with SOTA techniques like RoPE, GQA and KV caching. - merterbak/llm-from-scratch

abstract wolf
#

It seems there few people communicate here.

brazen horizon
#

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

Train a text-to-image diffusion transformer with dual-stream joint attention, MSRoPE, adaLN-Zero, and rectified flow. - merterbak/diffusion-from-scratch

winged sun
#

GitHub - merterbak/diffusion-from-scratc...

cloud helm
slim glacier
worldly otter
chrome vale
solemn trail
hard sun
#

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.

GitHub

Enterprise-grade platform to generate and execute Cypress and Playwright end-to-end tests from natural language requirements. - aiqualitylab/ai-natural-language-tests

south fiber
#

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

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

GitHub

Official evals for $OneMillion-Bench. Contribute to humanlaya/OneMillion-Bench development by creating an account on GitHub.

slender tinsel
#

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

fallow scroll
#

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

GitHub

An offline first focused production-ready agentic CLI application powered by local Ollama models. Just Intelligent CLI acts as a personal AI agent that can control your computer, build programs, cr...

west dune
restive wedge
#

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??

fallow scroll
sick minnow
sharp hornet
#

Hello

scarlet ice
#

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

GitHub

Detect coordination failures in multi-agent AI systems — in real time. Closed beta. - agentsonar/agentsonar

fallow scroll
#

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.

https://github.com/g023/harnessharvest

GitHub

A self-learning, self-correcting, LLM-powered harness creation and management system with FAISS-powered RAG, sandboxed execution, and autonomous improvement modes. Powered by Ollama and offline mod...

fallow scroll
raw creek
#

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

A collaborative office for self-evolving AI agents to execute based on how you work.

GitHub

Slack for AI agents with a shared team wiki. Get Claudes, Codexes and OpenClaws to collab and do your work autonomously while never losing context. - nex-crm/wuphf

odd nest
#

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+

GitHub

Federated multi-agent civilization toolkit · 19 supervisors/tools · SMP v5+ GA 2026-04-20 - JesseBrown1980/asolaria-behcs-256

fallow scroll
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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.
  • 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

Gist

DeepSeek V4 from OAI request Proxy with intelligent auto context compression features to handle OAI-compatible requests - ds4_oai_prxy.py

latent gust
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Kannst du Bilder bearbeiten

sour sky
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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 😊

dusty kayak
grim river
dusty kayak
grim river
odd nest
bold sphinx
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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 🙏

GitHub

Hexabot v3 is an AI automation platform, combining workflows, actions, agents, and conversational channels in one runtime. - hexabot-ai/Hexabot

bright leaf
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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

shell blazeBOT
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its.shane_010
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fleet pasture