Domain Apps

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.

A research framework that assigns LLMs to trading-floor roles—analyst, researcher, trader, risk manager—to debate and execute simulated stock decisions.

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.

Kronos recasts noisy, multi-dimensional candlestick data as hierarchical discrete tokens so an autoregressive Transformer can forecast financial markets like a language model.

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.

It gives AI agents a structured toolkit to generate CAD geometry, describe robots, and hand off files for fabrication and simulation.

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.

It automates offensive security by delegating penetration-testing tasks to a team of specialized AI agents that run inside isolated Docker containers.

DeepTutor was built to turn generic LLM chats into persistent, agentic tutoring that can research, co-write, and remember across sessions.

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 gives LLM agents real brokerage access, then cages live trading inside strict mandates, kill switches, and audit ledgers.

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.

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 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.

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.

Shannon autonomously attacks your running web apps and APIs to prove vulnerabilities exist, because annual pentests leave the other 364 days of shipping exposed.

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.

To explore AI-driven trading, it orchestrates a committee of LLM agents cast as famous investors who analyze stocks and generate orders that never reach a market.