Xalgorix is a Go-based autonomous pentesting platform driven by LLMs, featuring a 22-phase methodology from recon to exploit verification, with live telemetry and reporting.
IntellAgent is a Python framework that stress-tests conversational AI agents by generating structured adversarial dialogues via policy graph decomposition, helping uncover blind spots before production.
Kimi-Audio combines continuous acoustic and discrete semantic tokens within a 7B LLM for unified audio-text understanding and generation. It achieves state-of-the-art ASR with low-latency audio synthesis.
LiveCaptions Translator taps Windows 11’s on-device LiveCaptions for real-time speech translation via multiple LLM and traditional APIs, all in a sleek C# desktop app.
LiveTradeBench benchmarks LLM trading agents like GPT and Claude in live US equity and prediction markets with real-time news and sentiment integration.
LLM-MM-Agent uses LLMs as autonomous agents for end-to-end mathematical modeling, featuring a unique hierarchical method library with actor-critic selection. Supports GPT-4o and DeepSeek-R1.
LLM4Pentest aggregates 40+ research papers and tools tracking the evolving role of LLMs in automated penetration testing, highlighting progress and limitations.
llmstxt_architect automates generating and updating llms.txt files that communicate website content to LLMs. Supports multi-provider LLMs and preserves file structure during updates.
macai is a native macOS AI chat client unifying access to major LLM providers with iCloud Sync and local inference support, offering a minimalist cross-device AI chat experience.
MarkPDFDown is a Python CLI tool that converts PDFs and images into Markdown by using vision-capable large language models for visual recognition-based parsing, handling complex layouts and formulas.
qxresearch-event-1 is a collection of 50+ minimalist Python apps showcasing core AI patterns like fine-tuning, vector DB, and Whisper in about 10 lines each. A practical learning resource.
A curated and frequently updated bibliography accompanying the IJCAI 2024 survey paper on LLM-based multi-agent systems, organizing research into five key categories and revealing emerging trends.
The LLM Engineer Handbook catalogs the full lifecycle of large language model engineering, from pretraining to prompt management, guiding engineers beyond demos to production-ready LLM apps.
NomAI combines a Flutter app with a FastAPI backend using a multi-step LLM pipeline and web-grounded reasoning for nutrition analysis and meal tracking.
npcpy offers a unique NPC Context-Agent-Tool data layer to enforce AI compliance via software architecture, supporting multimodal LLM apps and multi-agent systems with local and cloud providers.
obsidian-llm-wiki-local generates interlinked Obsidian markdown wikis using local LLMs. Its standout feature is a rejection feedback loop that refines article quality via user input.
Open Computer Use uses a modular three-stage LLM pipeline to control a cloud Linux desktop, combining grounding, vision, and action models for flexible AI-driven automation.
OpenAgents hosts three specialized LLM agents—Data, Plugins, Web—via a Flask API and Next.js UI, integrating sandboxed code execution, plugin selection, and browser automation.
OpenAnt uses a two-stage LLM pipeline to detect and validate code vulnerabilities across multiple languages, reducing false positives by verifying exploits automatically.
OpenChronicle captures macOS accessibility events to build structured local memory for LLM agents. Its async pipeline produces persistent Markdown memory and an SQLite index.
