This fork rebuilds a popular multi-agent trading framework for the A-share market, replacing Yahoo Finance with free local data feeds and adding analysts who track policy shifts, hot-money flows, and lockup expirations instead of just fundamentals.
OfficeDex exists because copying AI output into Word and reformatting it is still too much manual labor.
Vocalinux is a fully offline, GPLv3 voice dictation app that pipes transcribed text into any Linux application on X11 or Wayland.
It chains a dozen LLM agents into a visual workflow so your on-call engineer only has to tap 'approve' instead of SSHing in at 3 AM.
It gives AI agents a structured toolkit to generate CAD geometry, describe robots, and hand off files for fabrication and simulation.
It bridges Claude Code to your local TradingView Desktop app through the Chrome DevTools Protocol, letting an AI read charts, edit Pine Script, and navigate timeframes without touching TradingView's servers.
AiSOC is an open-source, self-hostable AI SOC that logs every LLM prompt and tool call so you can replay investigations instead of trusting a black box.
Because your coding assistant shouldn't need a securities API cheat sheet to analyze A-shares.
Pits PatchTST, TFT, and N-HiTS against CatBoost to help energy markets pick a forecasting model.
Xime is a deliberately minimal, Rime-based Android input method that serves as its author's personal testbed for on-device AI experiments in predictive text and speech recognition.
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.
A set of agent skills that turns Chinese Amazon intelligence APIs into automated listing audits, keyword research, and product-selection reports for Claude and Codex users.
It wires Claude into a thousand trading venues so you can bet on elections, short perps, and launch Solana tokens from a single chat thread.
It exists to stop LLMs from confidently hallucinating decompiled C++ by forcing every guess through build tests and binary parity checks.
A multi-agent research tool that delegates company analysis to specialized AI workers and hands you a formatted report.
A C/C++ SDK that bundles speech recognition, multimodal AI, and cloud LLM plumbing so Wi-Fi modules and MCUs can behave like smart agents.
An experimental skill set that ports Anthropic’s legal-AI framework to German law practice, bundling 25,000 prompts, 229 plugins, and a small library of compliance warnings.
A Python framework that lets LLM agents debate, research, and execute trades—then backtest the whole circus before you risk real cash.
DarkMoon coordinates AI agents to run real penetration tests against your infrastructure without letting the LLM near a root shell.
Because your closet deserves AI suggestions without uploading every shirt to a cloud vendor.
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