OmniVoice Studio bundles voice cloning, dubbing, dictation, and TTS into a desktop app that keeps all audio processing off the internet and away from API keys.
Domain Apps
big names on the moveA research framework that assigns LLMs to trading-floor roles—analyst, researcher, trader, risk manager—to debate and execute simulated stock decisions.
Scientific Agent Skills packages 142 curated research workflows into agent-readable modules so AI coding assistants can stop hallucinating bioinformatics APIs and start executing real experiments.
Strix deploys autonomous LLM agents to attack your applications and validate findings with working proof-of-concepts, trading the false-positive noise of static scanners for actual exploits.
TimesFM is a pretrained decoder-only transformer that turns historical sequences into point and quantile forecasts without training from scratch.
It gives LLM agents real brokerage access, then cages live trading inside strict mandates, kill switches, and audit ledgers.
DeepTutor was built to turn generic LLM chats into persistent, agentic tutoring that can research, co-write, and remember across sessions.
This PowerShell-heavy repo turns Claude Code and friends into a guided missile for APK analysis, CTFs, and binary diffing—if you can survive the bootstrap ritual.
Because commodity WiFi already bounces off your body, RuView uses cheap ESP32 nodes to detect presence, vital signs, and even body pose without cameras or wearables.
It corrals 500+ news feeds and dozens of data streams into one dashboard so you can monitor geopolitical, financial, and infrastructure signals without sending everything to a cloud LLM.
It automates offensive security by delegating penetration-testing tasks to a team of specialized AI agents that run inside isolated Docker containers.
It exists to bundle quantitative analytics, AI research, and live trading into one native desktop app for users who would rather not rent a Bloomberg terminal.
Automates the full pipeline from multi-market data ingestion to LLM-generated decision reports pushed straight to your team chat.
Kronos recasts noisy, multi-dimensional candlestick data as hierarchical discrete tokens so an autoregressive Transformer can forecast financial markets like a language model.
OpenBB normalizes proprietary and public financial data so engineers can feed the same sources to Python scripts, REST APIs, Excel, and AI agents without rebuilding integrations.
Qlib provides a full-stack ML pipeline for quantitative finance—from alpha research to order execution—and now plugs into an LLM agent to automate R&D.
A PyTorch toolkit that treats robot learning like Hugging Face treats NLP: standardized datasets, pretrained policies, and one interface for many arms.
MAA automates the daily chores of Arknights by treating the game screen as a computer vision problem, using OpenCV and OCR to handle farming, recruitment, and base shifts without human tapping.
Shannon autonomously attacks your running web apps and APIs to prove vulnerabilities exist, because annual pentests leave the other 364 days of shipping exposed.
MiroFish builds a parallel digital society of autonomous LLM agents so you can rehearse futures—from PR crises to lost novel endings—before they happen in reality.




