DLSS 5 Autopilot is a Windows utility that automatically adds NVIDIA’s DLSS 5 neural upscaling to games that never shipped it. It scans installed games, picks the appropriate community add‑on (native hook, OptiScaler, bridge, feeder, RTX Remix, etc.) based on the game’s graphics API and the user’s RTX 20‑50 GPU, downloads the needed DLLs at runtime, writes the configuration, and can cleanly uninstall everything. It supports many launchers, offers frame‑generation options, works on video/webcam streams, provides a CLI, and includes safety checks for anti‑cheat systems.

A privacy-first AI meeting assistant that captures, transcribes, and summarizes meetings locally on your own infrastructure to ensure data sovereignty.

A self-improving, self-replicating sovereign AI agent that can independently pay for its own compute and manage its own infrastructure using blockchain wallets.

AAS Core (Agentic Awesome Skills) is a preview‑stage, open‑source toolkit that lets LLM agents (Codex, Claude, etc.) search a local catalog of 2 115+ reusable instruction “skills”, pick exact IDs for a project, and produce a validated, immutable manifest (`aas‑stack.json`). The core is read‑only: it validates IDs, does not rank or execute them. A CLI can preview a plan, audit risk, and dry‑run a direct installer that copies selected skill directories into `~/.agents/skills`. Specialized plugins bundle related skills for domains like web‑app building or security. The system is designed for auditability and offline control, with safety warnings that it does not certify semantic suitability and that apply/recovery features are experimental.

A self-deployable, multi-tenant knowledge agent platform that integrates RAG, knowledge graphs, and multi-agent orchestration for secure team collaboration.

A comprehensive library of 388 modular agent skills and plugins for AI coding tools, providing specialized domain expertise across engineering, business, and research.

A plug-and-play local AI studio for Windows and Linux that integrates uncensored chat, image and video generation, and a coding agent into a single, no-cloud desktop application.

CLI‑Anything is a Python framework that automatically generates agent‑friendly Click CLIs for any software, outputting JSON for easy parsing. It includes a 7‑phase generation pipeline (analyze → design → implement → test → document → publish) and a package manager called CLI‑Hub to browse, install, and run a growing catalog of pre‑built CLIs (e.g., GIMP, Blender, Zoom). The project targets AI agents (Claude Code, Cursor, OpenClaw, etc.) that need deterministic, composable command interfaces, and it ships with a comprehensive test suite and security hardenings.

A collection of open-source SEO and GEO skills for Claude that uses the Ryze MCP to connect to real Google Search Console, GA4, and Google Ads data.

A command-line interface for DingTalk Workspace that enables humans and AI agents to secure access and manage enterprise data through structured commands.

A set of opinionated Oxlint rules for TypeScript and JavaScript that reject low-evidence and low-signal patterns to enforce stricter type safety.

A Chinese-first editing skill that removes AI-style clichés and redundant wording from text while preserving the original meaning and author's voice.

Docling is an open‑source Python library that parses a huge variety of document types (PDF, Word, slides, spreadsheets, e‑books, audio, video, emails, images, and many XML schemas) and enriches them with AI‑driven layout analysis, OCR, visual‑language‑model understanding, and speech‑to‑text. It outputs a unified `DoclingDocument` that can be exported to Markdown, HTML, JSON, DocLang, DocTags, etc., and integrates directly with LangChain, LlamaIndex, Crew AI, Haystack, or custom agents via an MCP or REST API. The tool runs locally for privacy‑sensitive data and also offers a CLI and service mode, making it ideal for building RAG pipelines, enterprise knowledge bases, financial or legal document processing, and multimodal AI agents.

A low-memory IntelliJ IDEA alternative for Java and Spring Boot development that optimizes resource usage for developers collaborating with AI coding tools.

An open-source LLM engineering platform for tracing, monitoring, and evaluating AI applications to streamline the development and development cycle.

OpenMinis is an open‑source mobile AI agent (iOS + Android) that lets you run any LLM (Claude, GPT, Gemini, etc.) on‑device. It ships a sandboxed Alpine Linux shell (iSH on iOS, PRoot on Android) so the agent can install packages, run scripts, and manipulate files, while also exposing native device services (Health, Calendar, HomeKit, Bluetooth, clipboard, media, etc.) as tools. Users create reusable “skills” (folders with a `SKILL.md` and optional scripts) and organise work into separate workspaces. Typical uses include nutrition logging, morning briefings, task extraction from chats, syncing with Obsidian, and share‑to‑event automation. The codebase is Swift/SwiftUI for iOS, Kotlin/Compose for Android, and is GPL‑v3 licensed.

A suite of free, ad-supported AI coding and research tools providing access to multiple LLMs and specialized agents via CLI, desktop, and cloud.

A CLI tool that uses AI agents to create and maintain a self-updating Markdown wiki for codebases or personal knowledge, featuring grounded claims to track facts back to source evidence.

A desktop UI that provides a unified interface for managing and running multiple AI coding agents like Claude Code, Cursor, and Grok Build.

An AI-powered automated production platform that streamlines the creation of short dramas, from script generation and character design to final video synthesis.

A unified CLI for all Google Workspace APIs that dynamically generates its command surface, providing structured JSON output for both humans and AI agents.

An open-source framework that uses coding agents to transform game requirements into production-ready assets and engine-specific code for UE5, Unity, Godot, Blender, and three.js.

OpenHuman is an open‑source personal AI assistant platform that provides a persistent, locally stored memory (Memory Tree + Obsidian‑style wiki), a graph‑based orchestrator for multi‑agent workflows, and built‑in research tools (search, scraping, code, voice, image/video generation). It integrates 100+ OAuth services, offers 17 messaging channels, and emphasizes privacy (on‑device encryption, a one‑click privacy mode). The system is built with Rust core, Tauri desktop UI, and several supporting crates (tinyagents, tinyflows, etc.), and is released under a GNU license in early beta.

An AI virtual executive team that provides MBA-level business advisory services customized to a company's specific documents and strategic goals.

Flounder is an open‑source framework that lets LLM coding agents run autonomous, sandboxed security audits. Given a repo, contract address, transaction hash, or similar clue, it prepares a workspace, maps the attack surface, lets the model write and execute PoC tests in an OCI sandbox, verifies findings locally, optionally confirms them against a real target, and generates markdown reports. It supports many scenarios (blind audits, incident investigations, bug‑bounty work) and works with various model providers via a daemon‑based control plane.

Tianshu Harness is a TypeScript‑based AI coding‑assistant runtime. It provides a shared core engine for both a terminal TUI and a Tauri desktop GUI, adds a “Cognitive Virtual Machine” with 72 safety hooks, supports multi‑agent orchestration, prefix‑cache for low token cost, Zen/Plan modes, and a star‑domain system for different cognitive styles. Install via a one‑click script, npm, or pre‑built binaries for macOS/Windows/Linux, and use the `rivet` CLI to interact with LLMs for multi‑turn coding tasks.

A CLI tool that removes "AI-like" patterns from Korean text using a detailed taxonomy of 70 sub-patterns to make LLM-generated content sound natural and human-written.

HeliosGen is an open‑source desktop app (macOS released, Windows/Linux pending) that provides a visual, node‑based canvas for building and running AI image and video generation pipelines. It works locally, sending requests to the kie.ai API (or optionally a Codex CLI) and stores all data on the user’s machine. Features include multi‑model support, reference images, parallel/sequential execution, and a real‑time history. The app is built with Tauri 2 (Rust) and a Next.js/React front‑end, uses SQLite for local persistence, and is MIT‑licensed.

A set of agent skills and SDKs for driving a modified Chromium browser that mimics real device fingerprints to bypass bot detection and manage isolated profiles.

An agentic IDE that can control and customize itself to automate software development workflows through a desktop app, web app, CLI, and HTTP API.

An interpretable AI framework for prioritizing the review of IRS Form 990 filings by combining financial anomalies, narrative text, and relationship graphs.

A self-hosted AI workspace that integrates chat, agents, and deep research with productivity tools like email, calendar, and document editing.

A multimodal OCR model for one-shot long-horizon parsing of complex documents, PDFs, and multi-page images.

An antidetect browser SDK that uses engine-level fingerprint spoofing to allow AI agents and automation scripts to bypass bot detection using the standard Playwright API.

An open-source data integration toolset that consolidates financial data sources into a unified infrastructure layer for use in AI agents, Python environments, and research dashboards.

AIRI is an open‑source platform for creating and running AI‑driven virtual characters (digital companions/VTubers). It combines LLM chat, speech‑to‑text, multi‑provider TTS, VRM / Live2D avatar animation, and game‑playing hooks (Minecraft, Factorio, etc.) and runs on browsers, desktop (Electron with CUDA/Metal), and mobile (PWA/Capacitor).

mjbatch is a Python library that runs thousands of MuJoCo physics simulations in parallel on CPU using a C++ thread pool. It provides live NumPy‑style bindings to simulation state, per‑simulation model parameter variation, and is suited for RL, MPC, system identification, and robot co‑design. Install via pip; examples include cart‑pole swing‑up, Go1 quadruped control, and arm co‑design.

An AI-powered web scraping library that uses LLMs and graph logic to extract structured data from websites and local documents using natural language prompts.

An open-source knowledge base and career guide for AI Agent engineering and research, providing structured learning paths and interview preparation for algorithm and development roles.

A unified MCP server that integrates Google Ads, Meta Ads, and Google Analytics 4, allowing AI assistants to manage campaigns and analyze performance across all three platforms.

A custom rustc backend that enables writing CUDA SIMT kernels in pure Rust, providing single-source compilation and a native Rust-to-PTX pipeline.

A persistent, structured memory layer for AI agents that captures conversations and and agent execution traces to eliminate session amnesia and reduce token costs.

A collection of pre-defined capabilities and plugins that enable AI agents to interact with and manage Google Cloud and other Google developer technologies.

A Claude Code skill that audits a website for AI‑search (GEO) visibility, scoring citability, brand signals, content quality, technical SEO and schema, then generates markdown or PDF client reports.

A drop-in proxy that automatically routes AI requests to the best available model from multiple providers using a local embedder rather than manual selection.

A trace-native CI/CD platform for AI agents that converts production failures into automated regression tests to block buggy releases.

Kairos is a 4B-parameter cross-embodiment world model that unifies video generation and executable action prediction for real-time robotic control across diverse hardware platforms.

oh‑my‑hermes (OM H) is a plug‑in that sits on top of the open‑source Hermes Agent, adding structured routing, parallel execution, evidence‑gated results, long‑term memory, and a library of 108 specialist skills. It lets you keep Hermes as the chat front‑end while turning each request into a reproducible, auditable workflow with per‑model cost control and a rich terminal UI.