Trending AI projects

A Rust-based command-line tool to query and export local encrypted WeChat data, featuring AI-friendly outputs for integration with LLM agents.

A portable AI coding workspace that bundles the official Claude Code runtime and Agent SDK, allowing it to run from a USB drive with support for multiple AI providers.

A tool that converts text into official Chinese government documents (DOCX) following the GB/T 9704-2012 national standard, designed as a skill for AI assistants.

A browser automation tool that allows AI coding agents to maintain persistent browser sessions and use compact accessibility trees for efficient web interaction.

A fast and simple face-swapping extension for ComfyUI that allows users to replace faces in images and videos using various models and restoration tools.

A Node‑based MCP server that lets LLMs control iOS simulators via natural‑language commands. It wraps Facebook’s `idb` tool, exposing simulator lifecycle, app management, UI interaction, logging, debugging, and advanced features (location, media, keychain, etc.) through a simple JSON‑MCP interface. Installable on macOS via Cline or manually, it can be run as a standalone server or imported as a TypeScript library.

Open Second Brain is a Markdown‑based, version‑controlled memory layer for AI agents that lives inside an Obsidian vault. It offers deterministic learning (dream passes), searchable knowledge, audit trails, rollback, and optional semantic or relational extensions, accessible via MCP servers, hooks, or a CLI.

VMark is a local‑first desktop editor for many plain‑text formats (Markdown, JSON, YAML, TOML, code, etc.) that renders each file in a format‑specific view and integrates directly with LLM assistants via the Model‑Context‑Protocol, letting AI read and edit the same files you work on.

OpenRSI is an open‑source stack that makes “AI improving AI” a concrete, executable research problem. It includes the Frontis‑MA1 35 B model trained to draft, improve, debug, and recombine code, the OpenMLE full‑stack (Gym for task creation, RL pipelines for learning operators, and Evo for long‑horizon search), and public datasets. Results show sizable gains on MLE‑Bench and NatureBench when the model and search system are combined. The repo provides detailed guides for reproducing training or running a single search, and all code and models are released under a CC‑BY‑NC 4.0 license.

SkillAlchemy is an open‑source framework that automatically builds reusable, installable agent skills from vague task briefs by mining public documentation, papers, and code. It discovers hidden requirements, extracts evidence‑backed procedures, judges their scope, and packages them for LLM agents like Claude Code or Codex. Evaluated on 87 benchmark tasks, it reaches a 55.8 % pass rate, outperforming existing automated skill creators and rivaling human‑curated skills. Install via `npx skills add agentsope/SkillAlchemy` and invoke the agent to generate a skill.

A curated directory of open-source AI agent skills for growth hacking, marketing, and revenue operations, organized into 14 topic categories covering everything from SEO and email to paid media and app-store optimization. Edited by enso.bot, it links exclusively to external open-source resources and accepts community contributions via pull request.

A community-powered distributed inference cluster that lets volunteers share their GPU power to provide free AI image and text generation for everyone.

A comprehensive evaluation platform for large language and vision-language models that integrates over 100 datasets and multiple inference backends for standardized benchmarking.

A free, MIT-licensed, community-curated index of 411+ verified free AI learning resources across 30 categories, organized by topic and difficulty with guided learning paths for beginners, intermediates, and experts.

A categorized directory of 120+ open-source libraries for building, training, and deploying LLM applications, with links and descriptions.

A library for guaranteeing structured outputs from LLMs by constraining generation to match specific Python types or Pydantic models.

A Rust interface for hardware-accelerated inference and training of ONNX machine learning models, enabling efficient deployment across various hardware.

An experimental tool that transforms unstructured documents and web content into structured Knowledge Graphs stored in Neo4j using LLMs, enabling conversational querying and graph visualization.

Koog is JetBrains’ Kotlin‑first framework for creating AI agents. It supports JVM, JS, WasmJS, Android, and iOS, offers built‑in persistence, retries, history compression, RAG, streaming, and OpenTelemetry tracing, and works with major LLM providers (OpenAI, Anthropic, Google, etc.). Distributed via Maven Central under Apache 2.0.

An open-source framework for building full-stack AI applications with unified APIs for multiple model providers and cross-language SDKs.

An open-source, local-first AI journal that uses a multi-agent system to automatically organize life fragments into a structured, private knowledge base.

A production-grade SQLite extension that brings efficient vector search and quantization to embedded databases for Edge AI and RAG applications.

A collection of modular agent skills designed to help businesses optimize their websites and marketing content for AI answer engines like ChatGPT and Claude.

A literature retrieval and citation verification tool that integrates multiple academic databases to prevent AI hallucinations and export verified references.

An open-source toolbox for markerless human motion capture and novel view synthesis from RGB videos, supporting various input sources from multi-view setups to internet videos.

A desktop utility for offline migration of projects, chat history, and configurations between different Codex desktop installations.

OpenBMB’s MiniCPM‑V‑Apps repo provides three on‑device demo apps (iOS, Android, HarmonyOS) that run MiniCPM‑V multimodal LLMs locally via a fork of llama.cpp. It includes build scripts, model‑download instructions, and hardware requirements for models ranging from 1 B to a 35 B MoE that streams experts from SSD.

Qualcomm AI Hub Models is a Python package and CLI that provides a catalog of pre‑optimised machine‑learning models (vision, language, generative AI) ready for deployment on Snapdragon CPUs, GPUs, and NPUs. It handles quantisation, compilation, and performance profiling on real Qualcomm devices via the AI Hub Workbench, and includes sample apps and demos for both local PyTorch inference and on‑device accelerated runtimes.

FlowDown is a native, privacy-focused AI chat client for Apple platforms that allows users to connect to local or remote AI models while keeping all data on their device or private iCloud.

A tool for rewriting long documents like academic papers to reduce AI-generated traces while preserving original formatting and document structure.

An open GitHub repository collecting free course materials—notes, past exams, and study guides—for students in the AI School at Anhui University, meant to combat the selling of learning resources and ensure equal access for all learners.

This is a curated, open-source landscape of offensive AI security resources, covering 46 agent projects, 11 open-weight models, skills, MCP servers, 116 papers, 13 benchmarks, and 32 commercial tools. It helps researchers, security engineers, and decision-makers quickly navigate AI-driven penetration testing and autonomous red-team agents.

An open-source VS Code workspace that coordinates multiple AI coding agents, allowing for parallel opinions, sequential handoffs, and structured brainstorming.

agentgg is a CI-ready, agentic static application security testing (SAST) scanner. Its LLM agents read and reason about code—following imports and confirming findings—to reduce false positives, supporting whole-repo scans and git-diff PR reviews.

A suite of 152 Claude skills that automate the generation and review of structured Excel deliverables for automotive safety, cybersecurity, and quality engineering standards.

Isaac Lab‑Arena is an open‑source, alpha‑stage framework that sits on top of NVIDIA Isaac Lab/Sim. It lets you compose robot simulation environments from reusable scene, robot (embodiment), and task blocks, then run massive parallel policy evaluations on a GPU or across nodes, collecting fine‑grained metrics and sensitivity analyses. Features include relational object placement, sequential task chaining, experimental natural‑language‑driven environment generation, and a client‑server policy API. Installation uses the `uv` Python manager or provided Docker scripts, and the library is Python‑centric (≥ 3.12, Linux).

A web-based dashboard for the Pi Coding Agent that allows developers to manage persistent AI coding sessions across local and remote development environments.

A high-efficiency communication protocol that unifies publish/subscribe, geo-distributed storage, and computation for distributed systems.

A fast and flexible C++ library for rigid multi-body dynamics computations, providing analytical derivatives for robotics control, simulation, and optimization.

This repository contains the lecture slides, lab materials, and practical code demonstrations for the University of Michigan's Applied Agentic Software Engineering course.

Quosparr is a cross-platform menu bar application that monitors usage quotas, manages multiple accounts, and organizes configurations for Codex, Claude Code, and Grok.

AgentRun is an open-source harness and package suite for pi agents, giving you a workflow DSL, typed decision checks via Jev, durable execution, and extensions like vision and browser support. It helps you build, inspect, and recover agent workflows while keeping your own tools and model access.

Roomote is a source-available, self-hostable coding agent that automates development tasks by running them in isolated sandboxes and delivering results via pull requests. It allows teams to delegate bug fixes and feature work directly through chat platforms without requiring local IDE sessions.

LeWAM is an end-to-end framework for world and action modeling using JEPAs, enabling autonomous agents to perform goal-conditioned visual planning and task completion in simulated environments.

A Model Context Protocol server that enables AI assistants to read, search, and contribute to Reddit while enforcing built-in safety and policy compliance features.

Agent infrastructure from Rivet that allows running AI agents as durable actors and providing secure sandboxes for coding agents.

An intelligent customer service agent for robot vacuum users that combines Agentic RAG and device data analysis to provide technical support and personalized usage reports.

A Python API and database of CAN bus definitions that allows developers to read vehicle data and send control commands to modern cars for advanced driver-assistance applications.