A system-wide AI text assistant for Android that allows users to transform, fix, or translate text in any app using inline trigger commands.

An AI-powered platform that integrates traditional numerology and divination systems with LLMs, featuring an MCP server for AI agents to perform professional chart casting and analysis.

PaperBanana is an open‑source Python tool that turns method‑section text (or data files) into publication‑ready diagrams and statistical plots using a multi‑agent LLM/VLM pipeline, with support for batch runs, venue‑specific styling, and multiple AI providers.

An intelligent automation platform that automates the discovery, downloading, and organization of self-hosted music and video libraries.

A local MCP server that enables AI assistants to read, search, and edit notes within an Obsidian vault directly via the file system.

A JavaScript library for client-side indecent content detection using TensorFlow.js to classify images into safe and NSFW categories.

An open-source Python package for exploring, visualizing, and analyzing human neurophysiological data like MEG and EEG.

An AI-powered CLI tool that analyzes hardware and recommends optimal local LLM models from a multi-source registry, featuring integrated safety verification and MCP support.

An inference engine that enables running Mixture-of-Experts models larger than a device's RAM by streaming experts from flash storage in real-time.

A local API bridge that converts web-based AI chatbot interfaces into OpenAI and Anthropic compatible APIs by automating a controlled browser.

A bundle of six AI agent skills that automate job discovery, JD analysis, resume tailoring, interview prep, and offer negotiation.

A ComfyUI implementation of Spectrum that accelerates MiniMax H3 audio-video generation by forecasting hidden states to skip expensive transformer evaluations.

A high-performance 3D-printed desktop robotic arm designed to emulate industrial robots in mechanical design and control software.

AIWriteX is a Python‑based, multi‑agent AI writing suite for Chinese social‑media (WeChat, XiaoHongShu, etc.). It combines CrewAI agents, AIForge search, template‑driven visual design, AI‑generated images, anti‑detector polishing, and one‑click publishing. Available as a downloadable desktop app or a pip‑installable source tree, it’s licensed under Apache 2.0 with a non‑commercial add‑on.

An open-source simulator for drones and cars built on Unreal Engine, designed as a platform for AI research in deep learning, computer vision, and reinforcement learning.

A collection of 30 Jupyter notebooks that teach and demonstrate the main memory patterns for LLM‑based agents—from short‑term buffers to long‑term vector stores, cognitive‑architecture layers, and production‑grade frameworks (Mem0, Letta, Zep, Graphiti). Includes decision tree, comparison matrix, and links to a free video course and a printed guide.

A real‑time monitoring dashboard for Claude Code and OpenAI Codex agents, built with Node/Express, React, SQLite, and Electron, offering live visualisations, analytics, and desktop/IDE integrations.

Serenity.skill is an AI‑agent plug‑in that encodes a structured “Serenity” research method for turning market hot‑topics into a short, evidence‑backed list of stocks or funds. Install by copying the folder into a Codex or Claude Code skill directory, then call it with natural‑language prompts (e.g., `$serenity‑skill 研究现在 A 股 AI 半导体产业链`). The skill generates a step‑by‑step analysis—splitting a theme into supply‑chain layers, identifying bottlenecks, pulling public filings, and ranking candidates—while explicitly stating evidence gaps and risks. It does not trade or provide live data; it merely assists the user’s research workflow. MIT licensed.

A lightweight vector database that uses graph-based selective recomputation to reduce storage by 97%, enabling local RAG on millions of personal documents.

An automated installer and manager for the Pi coding agent that provides a curated, pre-configured setup of tools and packages to eliminate manual configuration.

A distributed harness runtime for AI agents that provides isolated execution environments with native support for failure recovery and state resumption.

A file-backed loop engineering system that transforms fuzzy AI plans into structured task graphs for long-running coding agents, ensuring recoverability and rigorous review.

A high-performance C++ inference runtime for deploying text, vision, audio, and speech models on NVIDIA Jetson, DRIVE, and DGX Spark edge platforms.

Microsoft / skills is a genuine open‑source toolbox that equips AI coding agents (e.g., GitHub Copilot) with ready‑made, Azure‑specific “skills” – code snippets, templates, and MCP server scaffolding – so the agents can generate correct Azure SDK calls, manage Foundry resources, and follow governance patterns. Install via `npx skills add microsoft/skills`, pick only the needed skills (≈175 across Python, .NET, TypeScript, Java, Rust), and use the provided `AGENTS.md` and MCP configs to build custom agents for backend, frontend, infrastructure, or planning tasks.

An open-source AI marketing plugin providing 163 skills and 24 specialist agents to standardize strategy, content creation, and campaign execution across large brand portfolios.

A prompt-based skill for AI agents that simplifies jargon-heavy or overly formal responses into plain, casual language using the /bro command.

A Blockbench plugin that implements the Model Context Protocol (MCP), allowing AI agents to control and interact with 3D modeling tools.

An open-source collaboration platform that allows teams and AI agents to work together in a shared workspace with task handover and reusable agent workflows.

An AI agent skill that redesigns GitHub READMEs by reorganizing content hierarchy and creating project-native SVG visuals to make a project's value immediately clear.

A curated library of 550+ medical research agent skills for AI agents to assist biomedical researchers with evidence discovery, protocol design, data analysis, and academic writing.

A comprehensive training pipeline for medical-domain LLMs that implements pre-training, supervised fine-tuning, and multiple preference alignment methods like RLHF, DPO, and GRPO.

An open-source desktop workspace for AI agents featuring a Rust runtime and multi-device synchronization to manage complex, long-running AI workflows.

A meta-aggregation gateway that consolidates multiple AI API providers and aggregation sites into a single API key and entry point with smart routing and cost optimization.

A commercial-grade software for processing drone images into georeferenced maps, point clouds, 3D models, and Gaussian splats.

AIDE ML is an open‑source Python library that implements an LLM‑guided tree‑search agent for automatically writing, debugging, and optimizing machine‑learning pipelines. Users describe a dataset, a goal, and an evaluation metric in natural language; the agent iteratively generates code, evaluates it, and prunes the search tree until the metric is maximized. The package includes a CLI, a Streamlit UI, HTML visualisation, and works with any OpenAI‑compatible LLM (including local Ollama models).

A Bayesian causal inference framework for Marketing Mix Modeling that helps advertisers measure campaign ROI and optimize budget allocation using privacy-safe aggregated data.

A 100-line minimalist LLM framework that uses a graph-based abstraction to build agents, RAG, and workflows without the bloat of traditional frameworks.

An open-source inference serving software that streamlines the deployment of AI models from multiple frameworks across GPUs, CPUs, and AWS Inferentia.

A compiler backend that allows Rust to be used as a first-class language for writing GPU graphics and compute shaders by compiling to SPIR-V.

A collection of 20 Claude Code “skills” that embed cybersecurity methodologies (recon, vulnerability scanning, exploit dev, reverse engineering, threat hunting, AI‑LLM security, etc.) into Anthropic’s Claude Code assistant. Install the `skills/*` directories into `~/.claude/skills/` (or project‑local) and Claude will automatically activate the appropriate workflow when you ask a matching prompt, returning ready‑to‑run commands, reports, detection rules, or code. MIT‑licensed, Python‑based helpers, optional external tools (nmap, YARA, Ghidra, etc.), and built‑in safety gates for offensive actions.

An open-source, self-hosted AI agent workforce platform that uses a maturity model and outcome verification to transition agents from supervised to autonomous business automation.

A code-first TypeScript toolkit for building, orchestrating, and deploying AI agents with full type safety and support for both Node.js and browser environments.

An AI-powered technical interview preparation platform that integrates mock interviews, real-time Copilot assistance, and long-term progress tracking to create a continuous learning loop.

A high-performance Rust-based tokenizer for language modeling that provides up to 1000x speedup over HuggingFace tokenizers by using SIMD-optimized pretokenization.

A developer-centric API and integration testing tool that auto-generates tests and data-mocks from real user traffic using eBPF.

Argus is a persistent autonomy framework for research and engineering that uses a multi-role architecture to enable long-running AI agent work with minimal human intervention.

TestHub is an open‑source, AI‑enhanced test‑management system built with Django (backend) and Vue 3 (frontend). It covers requirement analysis, test‑case authoring, API/Web/Android automation, performance testing, and reporting, while offering LLM‑driven test generation and a chatbot assistant.

A multi-agent framework for writing novels and short stories that maintains authorial voice and narrative continuity through specialized agents and a durable knowledge base.